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2025-05-02-jean-lou-alt-algorithm-comparison.ipynb
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2025-05-02-jean-lou-alt-algorithm-comparison.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/patcon/19406e0429d97e0ea8d823786bffee75/2025-05-02-jean-lou-alt-algorithm-comparison.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"source": [
"<img src=\"https://imgur.com/fzUhADo.png\" width=\"40%\" align=\"right\" />This is an alternative analysis of the What Could Be Bowling Green consultation https://report.whatcouldbgbe.com/ that I did with the help of the [`red-dwarf` algorithm library](https://github.com/polis-community/red-dwarf) for experimenting with Polis-like algorithms and datasets.\n",
"\n",
"We extract the data hidden on this page to do all this analysis:\n",
"https://pol.is/9hhbck2kda\n",
"\n",
"The idea is to imagine what might be possible with more exploration with these tools. There's no much more work to do, and many people are needed to build shared infrastructure, run experiments, makes games, create new interfaces and interaction patterns :)\n",
"\n",
"If any of this interesting to you, please do [join the Polis User Group discord](https://discord.com/invite/wFWB8kzQpP). In collaboration with [Metagov](https://metagov.org), we've started running weekly calls to explore the intersections of related (1)&nbsp;🫶&nbsp;facilitation processes, (2)&nbsp;🪞&nbsp;user interfaces, and (3)&nbsp;🧩&nbsp;dimensional reduction algorithms ✨"
],
"metadata": {
"id": "k758uG4L0FWI"
}
},
{
"cell_type": "markdown",
"source": [
"# Install Red-Dwarf Library"
],
"metadata": {
"id": "O_Low9t82sHz"
}
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "kEyVHx6y7zpu",
"outputId": "0707b6c0-5cad-4313-9426-297bdb692608"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
" Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
" Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
" Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m116.1/116.1 kB\u001b[0m \u001b[31m6.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m161.7/161.7 kB\u001b[0m \u001b[31m21.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m61.4/61.4 kB\u001b[0m \u001b[31m142.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m66.5/66.5 kB\u001b[0m \u001b[31m203.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Building wheel for red-dwarf (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
"Collecting pacmap\n",
" Downloading pacmap-0.8.0-py3-none-any.whl.metadata (14 kB)\n",
"Requirement already satisfied: scikit-learn>=0.20 in /usr/local/lib/python3.11/dist-packages (from pacmap) (1.6.1)\n",
"Requirement already satisfied: numba>=0.57 in /usr/local/lib/python3.11/dist-packages (from pacmap) (0.60.0)\n",
"Collecting annoy>=1.11 (from pacmap)\n",
" Downloading annoy-1.17.3.tar.gz (647 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m647.5/647.5 kB\u001b[0m \u001b[31m8.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
"Requirement already satisfied: numpy>=1.20 in /usr/local/lib/python3.11/dist-packages (from pacmap) (2.0.2)\n",
"Requirement already satisfied: llvmlite<0.44,>=0.43.0dev0 in /usr/local/lib/python3.11/dist-packages (from numba>=0.57->pacmap) (0.43.0)\n",
"Requirement already satisfied: scipy>=1.6.0 in /usr/local/lib/python3.11/dist-packages (from scikit-learn>=0.20->pacmap) (1.15.2)\n",
"Requirement already satisfied: joblib>=1.2.0 in /usr/local/lib/python3.11/dist-packages (from scikit-learn>=0.20->pacmap) (1.4.2)\n",
"Requirement already satisfied: threadpoolctl>=3.1.0 in /usr/local/lib/python3.11/dist-packages (from scikit-learn>=0.20->pacmap) (3.6.0)\n",
"Downloading pacmap-0.8.0-py3-none-any.whl (21 kB)\n",
"Building wheels for collected packages: annoy\n",
" Building wheel for annoy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for annoy: filename=annoy-1.17.3-cp311-cp311-linux_x86_64.whl size=553318 sha256=fa2f223b44cbf3509f2b092e8b7cd19b702624a7746e8af57c3dc722622768e5\n",
" Stored in directory: /root/.cache/pip/wheels/33/e5/58/0a3e34b92bedf09b4c57e37a63ff395ade6f6c1099ba59877c\n",
"Successfully built annoy\n",
"Installing collected packages: annoy, pacmap\n",
"Successfully installed annoy-1.17.3 pacmap-0.8.0\n"
]
}
],
"source": [
"%pip install --quiet --no-cache-dir git+https://github.com/polis-community/red-dwarf.git@main\n",
"%pip install pacmap"
]
},
{
"cell_type": "markdown",
"source": [
"# Load Data"
],
"metadata": {
"id": "-WguY7mv2u5-"
}
},
{
"cell_type": "code",
"source": [
"from reddwarf.data_loader import Loader\n",
"\n",
"REPORT_ID, CONVO_ID = None, None\n",
"# REPORT_ID, CONVO_ID = \"r7aybmkd3nce56sbry55t\", \"6mdwcmn7jh\" # DemDis: Slovakia state of democracy\n",
"# REPORT_ID, CONVO_ID = \"r9cnkypdddkmnefz8k2bn\", \"2ku7arccjt\" # DemDis: Hoaxes\n",
"# REPORT_ID, CONVO_ID = \"r8bzudrhs8j6petppicrj\", \"2upmdmyrbv\" # DemDis: Debating with fascists\n",
"# REPORT_ID=\"r64ajcsmp9butzxhzj44c\"\n",
"# REPORT_ID, CONVO_ID = \"r7kfpvrhdpyykbhnirtcd\", \"3nemnipcrc\" # Bowling Green\n",
"# CONVO_ID = \"9hhbck2kda\" # BG2050\n",
"REPORT_ID = \"r98y2p9easajrxhpvhsrr\"\n",
"# REPORT_ID, CONVO_ID = \"r3rwrinr5udrzwkvxtdkj\", \"3akt5cdsfk\"\n",
"# REPORT_ID, CONVO_ID = \"r2xcn2cdbmrzjmmuuytdk\", \"9wtchdmmun\" # Bowling Green #1\n",
"# REPORT_ID, CONVO_ID = \"r263pyffyjvsurzs9dc6h\", \"7yhactmdme\" # vTaiwan drunk driving\n",
"# REPORT_ID, CONVO_ID = \"r6xd526vyjyjrj9navxrj\", \"4uf4hkunf3\" # Germans never had it better (33,000)\n",
"# REPORT_ID, CONVO_ID = \"r8nssrnnnf2bewvtd5f5h\", \"2vkxcncppn\" # Austria Klimarat: Energy (7000 ppl)\n",
"# REPORT_ID, CONVO_ID = \"r7jjamzvde5iv96scfhdr\", \"3ufjbm7hfb\" # DemDis: NGOs (400 ppl)\n",
"# CONVO_ID = \"7eahucmmjc\" # NDP Nakba ban\n",
"# REPORT_ID, CONVO_ID = \"r4z6d6mjj6mykyazj87tr\", \"48ntjepisf\" # Tax Bill (250)\n",
"# REPORT_ID, CONVO_ID = \"r98y2p9easajrxhpvhsrr\", \"4cacski7ha\" # French AI\n",
"# CONVO_ID = \"9zcd4ktce5\" nishio Japan (250)\n",
"# CONVO_ID = \"6mhvipxs2z\" # Akron OH, candidates (300)\n",
"\n",
"# Load polis data is the speediest way possible\n",
"if REPORT_ID:\n",
" # From CSV export\n",
" loader = Loader(polis_id=REPORT_ID, data_source=\"csv_export\")\n",
" loader.load_api_data_report()\n",
" loader.conversation_id = loader.report_data[\"conversation_id\"]\n",
" loader.load_api_data_math()\n",
" loader.load_api_data_conversation()\n",
"elif CONVO_ID:\n",
" # From API\n",
" loader = Loader(polis_id=CONVO_ID)\n",
"else:\n",
" raise ValueError(\"Must specify either REPORT_ID or CONVO_ID\")"
],
"metadata": {
"id": "fAlaryxGGPIw",
"outputId": "546644e5-2c00-440d-c9ca-dc504874da60",
"colab": {
"base_uri": "https://localhost:8080/"
}
},
"execution_count": 5,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Removing duplicate vote: {'participant_id': 149, 'statement_id': 195, 'vote': 0, 'weight_x_32767': None, 'modified': 1742027818000.0, 'conversation_id': None, 'datetime': 'Sat Mar 15 2025 08:36:58 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 140, 'statement_id': 110, 'vote': 1, 'weight_x_32767': None, 'modified': 1741851895000.0, 'conversation_id': None, 'datetime': 'Thu Mar 13 2025 07:44:55 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 136, 'statement_id': 70, 'vote': 0, 'weight_x_32767': None, 'modified': 1741763671000.0, 'conversation_id': None, 'datetime': 'Wed Mar 12 2025 07:14:31 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 136, 'statement_id': 151, 'vote': 0, 'weight_x_32767': None, 'modified': 1741763492000.0, 'conversation_id': None, 'datetime': 'Wed Mar 12 2025 07:11:32 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 136, 'statement_id': 62, 'vote': 1, 'weight_x_32767': None, 'modified': 1741694732000.0, 'conversation_id': None, 'datetime': 'Tue Mar 11 2025 12:05:32 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 134, 'statement_id': 21, 'vote': 1, 'weight_x_32767': None, 'modified': 1741619489000.0, 'conversation_id': None, 'datetime': 'Mon Mar 10 2025 15:11:29 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 134, 'statement_id': 123, 'vote': 1, 'weight_x_32767': None, 'modified': 1741619484000.0, 'conversation_id': None, 'datetime': 'Mon Mar 10 2025 15:11:24 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 134, 'statement_id': 73, 'vote': 1, 'weight_x_32767': None, 'modified': 1741619471000.0, 'conversation_id': None, 'datetime': 'Mon Mar 10 2025 15:11:11 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 134, 'statement_id': 70, 'vote': 1, 'weight_x_32767': None, 'modified': 1741619469000.0, 'conversation_id': None, 'datetime': 'Mon Mar 10 2025 15:11:09 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 134, 'statement_id': 178, 'vote': 1, 'weight_x_32767': None, 'modified': 1741619459000.0, 'conversation_id': None, 'datetime': 'Mon Mar 10 2025 15:10:59 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 134, 'statement_id': 146, 'vote': 1, 'weight_x_32767': None, 'modified': 1741619456000.0, 'conversation_id': None, 'datetime': 'Mon Mar 10 2025 15:10:56 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 134, 'statement_id': 115, 'vote': 1, 'weight_x_32767': None, 'modified': 1741619450000.0, 'conversation_id': None, 'datetime': 'Mon Mar 10 2025 15:10:50 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 134, 'statement_id': 115, 'vote': 1, 'weight_x_32767': None, 'modified': 1741619449000.0, 'conversation_id': None, 'datetime': 'Mon Mar 10 2025 15:10:49 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 134, 'statement_id': 143, 'vote': 1, 'weight_x_32767': None, 'modified': 1741619447000.0, 'conversation_id': None, 'datetime': 'Mon Mar 10 2025 15:10:47 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 134, 'statement_id': 22, 'vote': 1, 'weight_x_32767': None, 'modified': 1741619445000.0, 'conversation_id': None, 'datetime': 'Mon Mar 10 2025 15:10:45 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 134, 'statement_id': 147, 'vote': 1, 'weight_x_32767': None, 'modified': 1741619443000.0, 'conversation_id': None, 'datetime': 'Mon Mar 10 2025 15:10:43 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 134, 'statement_id': 172, 'vote': 1, 'weight_x_32767': None, 'modified': 1741619440000.0, 'conversation_id': None, 'datetime': 'Mon Mar 10 2025 15:10:40 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 134, 'statement_id': 35, 'vote': 1, 'weight_x_32767': None, 'modified': 1741619436000.0, 'conversation_id': None, 'datetime': 'Mon Mar 10 2025 15:10:36 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 134, 'statement_id': 132, 'vote': 1, 'weight_x_32767': None, 'modified': 1741619433000.0, 'conversation_id': None, 'datetime': 'Mon Mar 10 2025 15:10:33 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 134, 'statement_id': 66, 'vote': 1, 'weight_x_32767': None, 'modified': 1741619415000.0, 'conversation_id': None, 'datetime': 'Mon Mar 10 2025 15:10:15 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 134, 'statement_id': 66, 'vote': 1, 'weight_x_32767': None, 'modified': 1741619413000.0, 'conversation_id': None, 'datetime': 'Mon Mar 10 2025 15:10:13 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 134, 'statement_id': 98, 'vote': 1, 'weight_x_32767': None, 'modified': 1741619411000.0, 'conversation_id': None, 'datetime': 'Mon Mar 10 2025 15:10:11 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 134, 'statement_id': 33, 'vote': 1, 'weight_x_32767': None, 'modified': 1741619408000.0, 'conversation_id': None, 'datetime': 'Mon Mar 10 2025 15:10:08 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 134, 'statement_id': 95, 'vote': 1, 'weight_x_32767': None, 'modified': 1741619390000.0, 'conversation_id': None, 'datetime': 'Mon Mar 10 2025 15:09:50 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 134, 'statement_id': 56, 'vote': 1, 'weight_x_32767': None, 'modified': 1741619388000.0, 'conversation_id': None, 'datetime': 'Mon Mar 10 2025 15:09:48 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 134, 'statement_id': 120, 'vote': 1, 'weight_x_32767': None, 'modified': 1741619386000.0, 'conversation_id': None, 'datetime': 'Mon Mar 10 2025 15:09:46 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 134, 'statement_id': 79, 'vote': 1, 'weight_x_32767': None, 'modified': 1741619382000.0, 'conversation_id': None, 'datetime': 'Mon Mar 10 2025 15:09:42 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 134, 'statement_id': 60, 'vote': 1, 'weight_x_32767': None, 'modified': 1741619370000.0, 'conversation_id': None, 'datetime': 'Mon Mar 10 2025 15:09:30 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 134, 'statement_id': 122, 'vote': 1, 'weight_x_32767': None, 'modified': 1741619367000.0, 'conversation_id': None, 'datetime': 'Mon Mar 10 2025 15:09:27 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 134, 'statement_id': 46, 'vote': 1, 'weight_x_32767': None, 'modified': 1741619357000.0, 'conversation_id': None, 'datetime': 'Mon Mar 10 2025 15:09:17 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 134, 'statement_id': 46, 'vote': 1, 'weight_x_32767': None, 'modified': 1741619357000.0, 'conversation_id': None, 'datetime': 'Mon Mar 10 2025 15:09:17 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 134, 'statement_id': 25, 'vote': 1, 'weight_x_32767': None, 'modified': 1741619347000.0, 'conversation_id': None, 'datetime': 'Mon Mar 10 2025 15:09:07 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 134, 'statement_id': 153, 'vote': 1, 'weight_x_32767': None, 'modified': 1741619345000.0, 'conversation_id': None, 'datetime': 'Mon Mar 10 2025 15:09:05 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 134, 'statement_id': 32, 'vote': 1, 'weight_x_32767': None, 'modified': 1741619318000.0, 'conversation_id': None, 'datetime': 'Mon Mar 10 2025 15:08:38 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 23, 'statement_id': 116, 'vote': 1, 'weight_x_32767': None, 'modified': 1741346830000.0, 'conversation_id': None, 'datetime': 'Fri Mar 07 2025 11:27:10 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 87, 'statement_id': 70, 'vote': 0, 'weight_x_32767': None, 'modified': 1741173012000.0, 'conversation_id': None, 'datetime': 'Wed Mar 05 2025 11:10:12 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 109, 'statement_id': 56, 'vote': 1, 'weight_x_32767': None, 'modified': 1741013130000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 14:45:30 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 149, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001450000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:50 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 89, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001449000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:49 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 89, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001449000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:49 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 94, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001449000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:49 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 67, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001448000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:48 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 9, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001447000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:47 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 7, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001446000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:46 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 95, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001444000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:44 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 0, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001442000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:42 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 166, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001438000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:38 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 23, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001437000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:37 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 41, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001433000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:33 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 152, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001432000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:32 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 92, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001430000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:30 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 71, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001429000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:29 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 12, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001428000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:28 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 5, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001424000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:24 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 158, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001423000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:23 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 134, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001421000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:21 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 110, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001419000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:19 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 110, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001419000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:19 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 110, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001419000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:19 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 110, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001419000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:19 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 128, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001418000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:18 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 104, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001417000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:17 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 115, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001417000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:17 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 32, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001416000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:16 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 32, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001416000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:16 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 104, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001416000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:16 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 104, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001416000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:16 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 104, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001416000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:16 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 32, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001415000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:15 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 133, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001415000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:15 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 133, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001415000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:15 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 80, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001414000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:14 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 80, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001414000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:14 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 80, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001414000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:14 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 16, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001413000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:13 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 163, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001413000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:13 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 163, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001413000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:13 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 163, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001413000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:13 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 1, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001412000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:12 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 129, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001412000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:12 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 48, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001411000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:11 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 125, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001411000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:11 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 26, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001410000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:10 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 55, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001409000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:09 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 146, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001408000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:08 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 146, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001408000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:08 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 103, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001407000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:07 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 100, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001406000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:06 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 100, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001406000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:06 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 114, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001406000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:06 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 114, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001405000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:05 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 114, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001405000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:05 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 153, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001405000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:05 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 137, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001404000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:04 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 137, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001404000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:04 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 153, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001404000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:04 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 153, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001404000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:04 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 153, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001404000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:04 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 137, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001403000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:03 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 155, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001403000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:03 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 155, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001403000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:03 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 155, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001403000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:03 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 74, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001402000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:02 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 74, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001402000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:02 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 74, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001402000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:02 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 76, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001401000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:01 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 76, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001401000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:01 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 59, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001400000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:00 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 59, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001400000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:00 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 122, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001400000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:00 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 122, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001400000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:30:00 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 59, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001399000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:29:59 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 159, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001399000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:29:59 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 159, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001399000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:29:59 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 105, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001398000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:29:58 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 105, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001398000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:29:58 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 159, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001398000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:29:58 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 81, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001397000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:29:57 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 157, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001397000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:29:57 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 157, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001397000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:29:57 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 99, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001396000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:29:56 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 29, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001395000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:29:55 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 29, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001395000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:29:55 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 108, 'statement_id': 77, 'vote': 1, 'weight_x_32767': None, 'modified': 1741001394000.0, 'conversation_id': None, 'datetime': 'Mon Mar 03 2025 11:29:54 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 100, 'statement_id': 166, 'vote': 0, 'weight_x_32767': None, 'modified': 1740927689000.0, 'conversation_id': None, 'datetime': 'Sun Mar 02 2025 15:01:29 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 87, 'statement_id': 122, 'vote': 0, 'weight_x_32767': None, 'modified': 1740900740000.0, 'conversation_id': None, 'datetime': 'Sun Mar 02 2025 07:32:20 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 87, 'statement_id': 122, 'vote': 0, 'weight_x_32767': None, 'modified': 1740820835000.0, 'conversation_id': None, 'datetime': 'Sat Mar 01 2025 09:20:35 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 79, 'statement_id': 134, 'vote': 1, 'weight_x_32767': None, 'modified': 1740775356000.0, 'conversation_id': None, 'datetime': 'Fri Feb 28 2025 20:42:36 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 76, 'statement_id': 7, 'vote': 1, 'weight_x_32767': None, 'modified': 1740765709000.0, 'conversation_id': None, 'datetime': 'Fri Feb 28 2025 18:01:49 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 76, 'statement_id': 116, 'vote': 1, 'weight_x_32767': None, 'modified': 1740765487000.0, 'conversation_id': None, 'datetime': 'Fri Feb 28 2025 17:58:07 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 45, 'statement_id': 104, 'vote': 0, 'weight_x_32767': None, 'modified': 1740763260000.0, 'conversation_id': None, 'datetime': 'Fri Feb 28 2025 17:21:00 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 46, 'statement_id': 23, 'vote': 1, 'weight_x_32767': None, 'modified': 1740749279000.0, 'conversation_id': None, 'datetime': 'Fri Feb 28 2025 13:27:59 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 34, 'statement_id': 22, 'vote': 1, 'weight_x_32767': None, 'modified': 1740742407000.0, 'conversation_id': None, 'datetime': 'Fri Feb 28 2025 11:33:27 GMT+0000 (Coordinated Universal Time)'}\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"# Dump Data to Google Drive (optional)"
],
"metadata": {
"id": "DK_KfsL9HCCn"
}
},
{
"cell_type": "code",
"source": [
"# Optionally mount to GDrive and save files there.\n",
"DO_SAVE_TO_GDRIVE = True\n",
"\n",
"if DO_SAVE_TO_GDRIVE:\n",
" from datetime import datetime\n",
" from google.colab import drive\n",
"\n",
" drive.mount('/content/drive')\n",
"\n",
" download_date = datetime.today().strftime('%Y-%m-%d')\n",
" loader.dump_data(output_dir=f\"./drive/MyDrive/polis-exports/{download_date}-{loader.conversation_id}/\")"
],
"metadata": {
"id": "TsVwmIvoGbFU"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
" # Prepare Data"
],
"metadata": {
"id": "LJKhGkbVHCnk"
}
},
{
"cell_type": "code",
"source": [
"from reddwarf.utils.matrix import generate_raw_matrix, get_clusterable_participant_ids, simple_filter_matrix\n",
"from reddwarf.utils.polismath import extract_data_from_polismath\n",
"from reddwarf.utils.statements import process_statements\n",
"\n",
"_, _, mod_out_statement_ids, _ = process_statements(loader.comments_data)\n",
"\n",
"raw_vote_matrix = generate_raw_matrix(votes=loader.votes_data)\n",
"\n",
"filtered_vote_matrix = simple_filter_matrix(\n",
" vote_matrix=raw_vote_matrix,\n",
" mod_out_statement_ids=mod_out_statement_ids,\n",
")\n",
"\n",
"print(filtered_vote_matrix)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "Ea8YprXESDAd",
"outputId": "17f317a5-a906-448a-ca5c-e8273859c183"
},
"execution_count": 6,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"statement_id 0 1 2 3 4 5 6 7 8 9 ... 242 \\\n",
"participant_id ... \n",
"0 0.0 0.0 1.0 1.0 -1.0 1.0 0.0 0.0 1.0 0.0 ... NaN \n",
"1 -1.0 0.0 1.0 1.0 NaN NaN NaN NaN NaN NaN ... NaN \n",
"2 -1.0 0.0 NaN -1.0 1.0 -1.0 NaN NaN NaN NaN ... NaN \n",
"3 -1.0 1.0 NaN -1.0 1.0 1.0 1.0 1.0 1.0 1.0 ... NaN \n",
"4 1.0 0.0 -1.0 -1.0 -1.0 -1.0 -1.0 1.0 1.0 1.0 ... NaN \n",
"... ... ... ... ... ... ... ... ... ... ... ... ... \n",
"174 -1.0 1.0 1.0 1.0 1.0 1.0 1.0 -1.0 1.0 1.0 ... 1.0 \n",
"175 1.0 NaN NaN NaN NaN 1.0 NaN 1.0 NaN NaN ... NaN \n",
"176 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN ... 0.0 \n",
"177 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN ... NaN \n",
"178 NaN NaN NaN NaN NaN NaN NaN NaN 0.0 NaN ... NaN \n",
"\n",
"statement_id 243 244 245 246 247 248 249 250 251 \n",
"participant_id \n",
"0 NaN NaN NaN NaN NaN NaN NaN NaN NaN \n",
"1 NaN NaN NaN NaN NaN NaN NaN NaN NaN \n",
"2 NaN NaN NaN NaN NaN NaN NaN NaN NaN \n",
"3 NaN NaN NaN NaN NaN NaN NaN NaN NaN \n",
"4 NaN NaN NaN NaN NaN NaN NaN NaN NaN \n",
"... ... ... ... ... ... ... ... ... ... \n",
"174 1.0 1.0 0.0 1.0 -1.0 1.0 1.0 1.0 NaN \n",
"175 1.0 1.0 1.0 0.0 1.0 1.0 1.0 1.0 NaN \n",
"176 0.0 1.0 NaN 0.0 1.0 0.0 0.0 0.0 NaN \n",
"177 NaN NaN NaN NaN NaN NaN NaN NaN 1.0 \n",
"178 NaN NaN NaN NaN NaN 0.0 NaN 1.0 NaN \n",
"\n",
"[179 rows x 252 columns]\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"# Run dimensional reduction algorithms"
],
"metadata": {
"id": "G_5Scn9T2jOP"
}
},
{
"cell_type": "code",
"source": [
"import numpy as np\n",
"from sklearn.pipeline import Pipeline\n",
"from sklearn.impute import SimpleImputer\n",
"from pacmap import PaCMAP, LocalMAP\n",
"from sklearn.decomposition import PCA\n",
"from reddwarf.sklearn.transformers import SparsityAwareScaler\n",
"import matplotlib.pyplot as plt\n",
"\n",
"n_components = 2\n",
"\n",
"# Setup participant mask (we won't derive our own list of active participant IDs this time)\n",
"# participant_ids_to_cluster = get_clusterable_participant_ids(raw_vote_matrix, vote_threshold=7)\n",
"# cluster_mask = [pid in participant_ids_to_cluster for pid in raw_vote_matrix.index]\n",
"\n",
"# Set up participant mask and cluster labels from polismath, for comparison with default Polis.\n",
"all_clustered_participant_ids, cluster_labels = extract_data_from_polismath(loader.math_data)\n",
"cluster_mask = [pid in all_clustered_participant_ids for pid in raw_vote_matrix.index]\n",
"\n",
"RANDOM_STATE = 123\n",
"\n",
"# Configure pipelines\n",
"pipelines = {\n",
" \"PCA\": Pipeline([\n",
" (\"impute\", SimpleImputer(missing_values=np.nan, strategy=\"mean\")),\n",
" (\"pca\", PCA(n_components=n_components, random_state=RANDOM_STATE)),\n",
" (\"scale\", SparsityAwareScaler(X_sparse=raw_vote_matrix.values)),\n",
" ]),\n",
" \"PaCMAP\": Pipeline([\n",
" (\"impute\", SimpleImputer(missing_values=np.nan, strategy=\"mean\")),\n",
" (\"pacmap\", PaCMAP(n_components=n_components, random_state=RANDOM_STATE)),\n",
" ]),\n",
" \"LocalMAP\": Pipeline([\n",
" (\"impute\", SimpleImputer(missing_values=np.nan, strategy=\"mean\")),\n",
" (\"localmap\", LocalMAP(n_components=n_components, random_state=RANDOM_STATE)),\n",
" ]),\n",
" # Add more here easily\n",
"}\n",
"\n",
"# Run pipelines\n",
"embeddings = {}\n",
"for name, pipe in pipelines.items():\n",
" X_transformed = pipe.fit_transform(filtered_vote_matrix.values)\n",
" embeddings[name] = {\n",
" \"X\": X_transformed,\n",
" \"kmeans\": None,\n",
" }"
],
"metadata": {
"id": "DwoS4OvOSJqG",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "cf5fd274-d56b-4595-cf2e-c2a0a2d39255"
},
"execution_count": 27,
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
"WARNING:pacmap.pacmap:Warning: random state is set to 123.\n",
"WARNING:pacmap.pacmap:Warning: random state is set to 123.\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"# Run Clustering"
],
"metadata": {
"id": "v04l0JBX2gGQ"
}
},
{
"cell_type": "code",
"source": [
"from reddwarf.utils.clustering import find_optimal_k\n",
"\n",
"# [Re-]generate clusters\n",
"for name, data in embeddings.items():\n",
" _, _, kmeans = find_optimal_k(\n",
" projected_data=data[\"X\"][cluster_mask],\n",
" k_bounds=(2,8),\n",
" init=\"k-means++\",\n",
" random_state=RANDOM_STATE,\n",
" )\n",
" embeddings[name][\"kmeans\"] = kmeans"
],
"metadata": {
"id": "nhgO-6vCFpBY"
},
"execution_count": 28,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"# Generate Plots"
],
"metadata": {
"id": "YlOkYdgh2cY3"
}
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"id": "NkGdoHCy8RdA",
"outputId": "94c9f84d-118c-4434-b4f4-79e0252cee9a"
},
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
"<ipython-input-29-e761a33ab8b1>:58: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n",
" plt.tight_layout(rect=[0, 0, 0.9, 1]) # Leave space for colorbar\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 1500x1500 with 10 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
],
"source": [
"%pip install --quiet tabulate\n",
"\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"import math\n",
"\n",
"# Set projection and labeling sources\n",
"embedding_names = list(embeddings.keys())\n",
"n = len(embedding_names)\n",
"\n",
"fig, axes = plt.subplots(n, n, figsize=(5 * n, 5 * n))\n",
"\n",
"SHOW_PARTICIPANT_IDS = False\n",
"FLIP_X = False\n",
"FLIP_Y = True\n",
"\n",
"pid_labels = raw_vote_matrix.index[cluster_mask].to_list()\n",
"sc = None # For colorbar\n",
"colors = None\n",
"\n",
"for row_idx, proj_name in enumerate(embedding_names):\n",
" for col_idx, label_name in enumerate(embedding_names):\n",
" ax = axes[col_idx, row_idx]\n",
"\n",
" proj_data = embeddings[proj_name]\n",
" label_data = embeddings[label_name]\n",
"\n",
" X = proj_data[\"X\"]\n",
" kmeans = label_data[\"kmeans\"]\n",
" colors = kmeans.labels_ if kmeans else None\n",
"\n",
" x = X[cluster_mask, 0]\n",
" y = X[cluster_mask, 1]\n",
"\n",
" sc = ax.scatter(x, y, c=colors, cmap=\"tab10\", alpha=1.0, s=20)\n",
" ax.set_title(f\"{proj_name} proj, {label_name} labels\")\n",
"\n",
" if SHOW_PARTICIPANT_IDS:\n",
" for xi, yi, label in zip(x, y, pid_labels):\n",
" ax.text(xi, yi, label, fontsize=6, color=\"gray\", ha='right', va='bottom')\n",
"\n",
" if FLIP_X:\n",
" ax.invert_xaxis()\n",
" if FLIP_Y:\n",
" ax.invert_yaxis()\n",
"\n",
"# Add one colorbar using the last scatter\n",
"fig.subplots_adjust(right=0.9)\n",
"cbar_ax = fig.add_axes([0.92, 0.15, 0.02, 0.7]) # [left, bottom, width, height]\n",
"cbar = fig.colorbar(sc, cax=cbar_ax)\n",
"\n",
"# Replace numeric ticks with letters\n",
"num_clusters = len(np.unique(colors))\n",
"cbar.set_ticks(np.arange(num_clusters)) # e.g., [0, 1, 2, 3, 4]\n",
"cbar.set_ticklabels([chr(65 + i) for i in range(num_clusters)]) # ['A', 'B', 'C', 'D', 'E']\n",
"cbar.set_label('Cluster Label')\n",
"\n",
"plt.tight_layout(rect=[0, 0, 0.9, 1]) # Leave space for colorbar\n",
"plt.show()"
]
},
{
"cell_type": "code",
"source": [
"# General JSON files of projected data for use in other apps\n",
"from ipywidgets import HTML\n",
"from IPython.display import display\n",
"import base64\n",
"import json\n",
"\n",
"for name, data in embeddings.items():\n",
" X = data[\"X\"].tolist()\n",
"\n",
" # FILE\n",
" filename = f\"{name}.json\"\n",
" b64 = base64.b64encode(json.dumps(X, indent=2).encode())\n",
" payload = b64.decode()\n",
"\n",
" # BUTTONS\n",
" html_buttons = '''<html>\n",
" <head>\n",
" <meta name=\"viewport\" content=\"width=device-width, initial-scale=1\">\n",
" </head>\n",
" <body>\n",
" <a download=\"{filename}\" href=\"data:text/csv;base64,{payload}\" download>\n",
" <button class=\"p-Widget jupyter-widgets jupyter-button widget-button mod-warning\">Download {filename}</button>\n",
" </a>\n",
" </body>\n",
" </html>\n",
" '''\n",
"\n",
" html_button = html_buttons.format(payload=payload,filename=filename)\n",
" display(HTML(html_button))"
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{
"cell_type": "markdown",
"source": [
"# Calculate Representative Statements"
],
"metadata": {
"id": "aGfeOnwO3W6_"
}
},
{
"cell_type": "code",
"source": [
"from reddwarf.utils.stats import calculate_comment_statistics_dataframes, select_representative_statements\n",
"from reddwarf.data_presenter import print_repness\n",
"\n",
"import io\n",
"import contextlib\n",
"import textwrap\n",
"\n",
"cols = []\n",
"# Write the representative group statements below.\n",
"for name, data in embeddings.items():\n",
" # print(f\"{len(all_clustered_participant_ids)=}\")\n",
" # print(f\"{len(data['kmeans'].labels_)=}\")\n",
" # TODO: Figure out why participant IDs are missing from raw_vote_matrix: [5748, 5749, 5750, 5751]\n",
" # Mask to filter both participant IDs and corresponding labels\n",
" safe_pids = [pid for pid in all_clustered_participant_ids if pid in raw_vote_matrix.index]\n",
" grouped_stats_df, gac_df = calculate_comment_statistics_dataframes(\n",
" vote_matrix=raw_vote_matrix.loc[safe_pids, :],\n",
" cluster_labels=data[\"kmeans\"].labels_,\n",
" )\n",
" print(f\"Calculating representative statements for {name} clusters\")\n",
" repness = select_representative_statements(grouped_stats_df=grouped_stats_df)\n",
"\n",
" string_io = io.StringIO()\n",
" with contextlib.redirect_stdout(string_io):\n",
" print_repness(repness=repness, statements_data=loader.comments_data)\n",
" output = string_io.getvalue()\n",
" cols.append((name, output))"
],
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},
"id": "lcA5T3ql3Z_P",
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},
"execution_count": 31,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Calculating representative statements for PCA clusters\n",
"Calculating representative statements for PaCMAP clusters\n",
"Calculating representative statements for LocalMAP clusters\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"# Print Representative Statements"
],
"metadata": {
"id": "iH-xe0Xx3Dys"
}
},
{
"cell_type": "code",
"source": [
"from tabulate import tabulate\n",
"\n",
"# Print representagive statements that align with figures\n",
"headers, data = zip(*cols)\n",
"print(tabulate([[\"\\n\".join(textwrap.wrap(output, width=50, replace_whitespace=False)) for output in data]], headers=headers))"
],
"metadata": {
"id": "CQwG-zuLu20Y",
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"colab": {
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}
},
"execution_count": 32,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"PCA PaCMAP LocalMAP\n",
"-------------------------------------------------- -------------------------------------------------- --------------------------------------------------\n",
"GROUP A GROUP A GROUP A\n",
"* Lutter pour la régulation des algo. de * Différentes radicalités de discours ne * L'IA n'est pas un risque pour le climat\n",
"reco, et des autres IAs est également important sont pas un problème, tant que la direction global mais un coût (100% certitude)\n",
"97% of those in group A who voted on statement 56 est la bonne. 66% of those in\n",
"agreed. 65% of those in group A who voted group A who voted on statement 224 agreed.\n",
" on statement 133 agreed.\n",
"* Ne pas laisser les parents seuls face à * Il\n",
"l'éducation aux réseaux sociaux de leurs enfants * Une super intelligence n'est pas nécessaire de chaque personne aborde\n",
"92% of those in group A who voted on statement 48 (Artificial Super Intelligence) pourrait TOUS les problèmes simultanément pour être utile\n",
"agreed. apparaître d'ici moins de 20 ans dans l'espace médiatique.\n",
" 65% of those 100% of those in\n",
"* L'influence des IA (ou algo. de in group A who voted on statement 100 agreed. group A who voted on statement 135 agreed.\n",
"recommandation) sur le débat démocratique pose un\n",
"plus grand risque qu'une singularité via une IA * *\n",
"générale Il faut qu'il y ait des mécanismes de Créer european ia safety steering group EISSG,\n",
" 72% of those in group A who voted on responsabilité (éthique, juridique, politique) attirer les lobbyistes dedans, puis les mettre en\n",
"statement 169 agreed. pour encadrer la recherche & développement de prison, répéter autant que nécessaire\n",
" l'IA. 70% of\n",
"* Les IAs de recommandation 1% of those in group A who voted on those in group A who voted on statement 52\n",
"et les armes létales autonomes ont des statement 76 disagreed. disagreed.\n",
"conséquences concrètes, tandis que l'IAG,\n",
"terrifiante, reste hypothétique * Il est souhaitable de pousser à\n",
" 73% of those in GROUP B l'accélération du développement d'IA plus\n",
"group A who voted on statement 195 agreed. * Repenser le performantes en passant par la dérégulation et\n",
" rapport au travail sachant qu'on a des outils l'aide financière.\n",
"* toujours plus potentiellement libérateurs. 100% of those in group A who\n",
"Désactiver les filtres imposé aux réponses des IA 0% voted on statement 203 disagreed.\n",
"car ils réduisent les performances et la liberté of those in group B who voted on statement 66\n",
"d'information disagreed. * Les avantages\n",
" 100% of those in group A who potentiels de l'IA valent tous les risques\n",
"voted on statement 215 disagreed. * Dans les apps, il faut interdire la encourus en cas de désalignement ou usage mal\n",
" mécanique de vidéos courtes infinies pour intentionné des IA.\n",
" permettre aux citoyens de lever la tete de l'écran 88% of those in group A who\n",
"GROUP B 100% of those in group B who voted on statement voted on statement 219 disagreed.\n",
"* Les 196 disagreed.\n",
"risques posés par les agents IA sont plus\n",
"importants que ceux liés aux IA de recommandation. * Atteindre la singularité est à GROUP B\n",
"100% of those in group B who voted on statement éviter si l'on souhaite la survie de l'humanitée. * Les\n",
"123 agreed. 100% of those in group B who voted on statement enfants ne doivent pas avoir accès à des IAs\n",
" 174 disagreed. génératrices d’images ou de vidéos\n",
"* Le pluralisme algorithmique est une 82% of those\n",
"condition de possibilité pour l'espace public et * L'alignement des IA passera in group B who voted on statement 18 agreed.\n",
"la démocratie. notamment par le développement de modèles\n",
" 80% of those in group B who souverains démocratiques, open-source, et *\n",
"voted on statement 184 disagreed. écologiquement transparents. Les IAs manipulant notre espace informationnelle\n",
" 100% of those in doivent être régulées en priorité.\n",
"* L'IA ne me group B who voted on statement 153 disagreed. 100% of\n",
"fait pas peur en soit, mais le fait que des those in group B who voted on statement 77 agreed.\n",
"techno-oligarques puissent avoir le pouvoir, * * Le coût extractiviste et énergétique des IA est\n",
"l'argent et la technologie me terrifie. Nous développerons une IA ayant des capacités catastrophique.\n",
" 93% of similaires à celles des humains dans tous les 85% of those in group B who\n",
"those in group B who voted on statement 17 domaines d’ici moins de cinq ans. voted on statement 1 agreed.\n",
"disagreed. 100% of those\n",
" in group B who voted on statement 115 disagreed. * Mener activement\n",
"* Les IAs de recommandation et les GROUP C des politiques publiques pour aident les enfants à\n",
"armes létales autonomes ont des conséquences * Mener activement des politiques ne pas passer trop de temps sur les réseaux\n",
"concrètes, tandis que l'IAG, terrifiante, reste publiques pour aident les enfants à ne pas passer sociaux\n",
"hypothétique trop de temps sur les réseaux sociaux 100% of those in group B who voted on\n",
" 100% of those in group B who voted 95% of statement 31 agreed.\n",
"on statement 195 disagreed. those in group C who voted on statement 31 agreed.\n",
" * Il faut plus parler des risques actuels et * Faire de la prévention de\n",
"* L'influence des IA potentiels des IA que des bénéfices actuels ou type \"Pour votre santé, éviter de passer plus de 2\n",
"(ou algo. de recommandation) sur le débat potentiels. heures par jour sur les réseaux sociaux\"\n",
"démocratique pose un plus grand risque qu'une 92% of those in group C who voted 89% of\n",
"singularité via une IA générale on statement 62 agreed. those in group B who voted on statement 45 agreed.\n",
" 100% of those GROUP C\n",
"in group B who voted on statement 169 disagreed. * Faire de la prévention * Repenser le rapport au travail sachant\n",
"GROUP C de type \"Pour votre santé, éviter de passer plus qu'on a des outils toujours plus potentiellement\n",
"* Il faut interdire TikTok. de 2 heures par jour sur les réseaux sociaux\" libérateurs.\n",
" 90% of 82% of those in group C who voted on statement 45 0% of those in group C who voted\n",
"those in group C who voted on statement 3 agreed. agreed. on statement 66 disagreed.\n",
"* Imposer aux IA d'afficher clairement leur\n",
"compétences et avertir pour par ex ne pas faire * Concernant les IAs de recommandations, * Dans les apps, il\n",
"croire que les conversationnelles disent la vérité créer un cadre juridique internationnal pour faut interdire la mécanique de vidéos courtes\n",
"93% of those in group C who voted on statement 59 cadrer la modération infinies pour permettre aux citoyens de lever la\n",
"agreed. 97% of those in group C tete de l'écran\n",
" who voted on statement 60 agreed. 100% of those in group C who\n",
"* Il faut mettre en pause le voted on statement 196 disagreed.\n",
"développement des IA. * Une\n",
" 78% of those in group C régulation démocratique de l'IA est nécessaire * Atteindre la\n",
"who voted on statement 0 agreed. 100% of those in group C who voted on statement 38 singularité est à éviter si l'on souhaite la\n",
" agreed. survie de l'humanitée.\n",
"* Les enfants ne 100% of those in group C\n",
"doivent pas avoir accès à des IAs who voted on statement 174 disagreed.\n",
"conversationnelles.\n",
" 83% of those in group C who *\n",
"voted on statement 16 agreed. L'alignement des IA passera notamment par le\n",
" développement de modèles souverains démocratiques,\n",
"* Il faut interdire open-source, et écologiquement transparents.\n",
"l'usage des IA génératives aux mois de 10 ans, 100% of those in group C who voted on statement\n",
"dont les capacités d'expression sont encore en 153 disagreed.\n",
"formation.\n",
" 93% of those in group C who voted on * Nous développerons une IA ayant\n",
"statement 166 agreed. des capacités similaires à celles des humains dans\n",
" tous les domaines d’ici moins de cinq ans.\n",
" 100%\n",
"GROUP D of those in group C who voted on statement 115\n",
"* Les entreprises disagreed.\n",
"dont l'activité (développement d'IA) est\n",
"destructrice d'emploi ne doivent pas être\n",
"discriminée aux yeux de la loi.\n",
" 100% of those\n",
"in group D who voted on statement 221 agreed.\n",
"\n",
"*\n",
"Opérer un contrôle des modèles les plus avancés\n",
"comme pour les matières nucléaires, au niveau\n",
"mondial pour coopérer, identifier et limiter.\n",
"100% of those in group D who voted on statement\n",
"192 disagreed.\n",
"\n",
"* Il faut prendre au sérieux le\n",
"risque qu’une superintelligence artificielle mène\n",
"à l’extinction humaine.\n",
" 100% of those in group\n",
"D who voted on statement 110 disagreed.\n",
"\n",
"* Il faut\n",
"mettre en pause le développement des IA.\n",
" 76% of\n",
"those in group D who voted on statement 0\n",
"disagreed.\n",
"\n",
"* Il est important d’informer le grand\n",
"public sur les risques d’extinction liés à l’IA.\n",
"75% of those in group D who voted on statement 111\n",
"disagreed.\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"# Imaginings"
],
"metadata": {
"id": "tE8pQNJM25pt"
}
},
{
"cell_type": "markdown",
"source": [
"Note that above, we:\n",
"1. project the points into space with different dimensional reduction algorithms: PCA (1901), PaCMAP (2021), LocalMAP (2024)\n",
"2. Detect participant labels via best-fitting KMeans clustering algorithm (testing 2-8 groups)\n",
"3. Color each projection with the labels of each, to show what is revealed or hidden in other algorithms.\n",
"4. Calculate to representative statements for each cluster, as discovered from each projection.\n",
"\n",
"But imagine a user interface where an algorithm like LocalMAP revealed the subtle structures of differing opinions in the data. Maybe it would be fun to render this shape as a map. And maybe we could populate this map with little characters, brought to life by an LLM, using the statements of that cluster. Maybe we could wander around and talk to them. Or maybe we could pull 3 together from the various other regions, and watch them talk together, joining in or just seeing how things unfold... ✨\n",
"\n",
"<img src=\"https://imgur.com/rKb3nDU.png\" width=\"400px\" align=\"right\" />"
],
"metadata": {
"id": "UQWpdAPqyBGa"
}
},
{
"cell_type": "markdown",
"source": [
"# Print Representative Statements (No Columns)\n",
"\n",
"This is helpful for non-English Polis conversations, when you might want to copy-paste into Google Translate to make sense of any new groups that emerge."
],
"metadata": {
"id": "wNuyDFlW3pDs"
}
},
{
"cell_type": "code",
"source": [
"# Print representative statements in copy-pasteable format (for Google Translate)\n",
"for header, statement_data in cols:\n",
" print(f\"ALGORITHM: {header}\")\n",
" print()\n",
" print(statement_data)\n",
" print(\"-----------\")"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "vkTIdSNAusfg",
"outputId": "a1188ff3-4038-4ac6-9ec6-882e606cb2b3"
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"execution_count": 33,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"ALGORITHM: PCA\n",
"\n",
"GROUP A\n",
"* Lutter pour la régulation des algo. de reco, et des autres IAs est également important\n",
" 97% of those in group A who voted on statement 56 agreed.\n",
"\n",
"* Ne pas laisser les parents seuls face à l'éducation aux réseaux sociaux de leurs enfants\n",
" 92% of those in group A who voted on statement 48 agreed.\n",
"\n",
"* L'influence des IA (ou algo. de recommandation) sur le débat démocratique pose un plus grand risque qu'une singularité via une IA générale\n",
" 72% of those in group A who voted on statement 169 agreed.\n",
"\n",
"* Les IAs de recommandation et les armes létales autonomes ont des conséquences concrètes, tandis que l'IAG, terrifiante, reste hypothétique\n",
" 73% of those in group A who voted on statement 195 agreed.\n",
"\n",
"* Désactiver les filtres imposé aux réponses des IA car ils réduisent les performances et la liberté d'information\n",
" 100% of those in group A who voted on statement 215 disagreed.\n",
"\n",
"\n",
"GROUP B\n",
"* Les risques posés par les agents IA sont plus importants que ceux liés aux IA de recommandation.\n",
" 100% of those in group B who voted on statement 123 agreed.\n",
"\n",
"* Le pluralisme algorithmique est une condition de possibilité pour l'espace public et la démocratie.\n",
" 80% of those in group B who voted on statement 184 disagreed.\n",
"\n",
"* L'IA ne me fait pas peur en soit, mais le fait que des techno-oligarques puissent avoir le pouvoir, l'argent et la technologie me terrifie.\n",
" 93% of those in group B who voted on statement 17 disagreed.\n",
"\n",
"* Les IAs de recommandation et les armes létales autonomes ont des conséquences concrètes, tandis que l'IAG, terrifiante, reste hypothétique\n",
" 100% of those in group B who voted on statement 195 disagreed.\n",
"\n",
"* L'influence des IA (ou algo. de recommandation) sur le débat démocratique pose un plus grand risque qu'une singularité via une IA générale\n",
" 100% of those in group B who voted on statement 169 disagreed.\n",
"\n",
"\n",
"GROUP C\n",
"* Il faut interdire TikTok.\n",
" 90% of those in group C who voted on statement 3 agreed.\n",
"\n",
"* Imposer aux IA d'afficher clairement leur compétences et avertir pour par ex ne pas faire croire que les conversationnelles disent la vérité\n",
" 93% of those in group C who voted on statement 59 agreed.\n",
"\n",
"* Il faut mettre en pause le développement des IA.\n",
" 78% of those in group C who voted on statement 0 agreed.\n",
"\n",
"* Les enfants ne doivent pas avoir accès à des IAs conversationnelles.\n",
" 83% of those in group C who voted on statement 16 agreed.\n",
"\n",
"* Il faut interdire l'usage des IA génératives aux mois de 10 ans, dont les capacités d'expression sont encore en formation.\n",
" 93% of those in group C who voted on statement 166 agreed.\n",
"\n",
"\n",
"GROUP D\n",
"* Les entreprises dont l'activité (développement d'IA) est destructrice d'emploi ne doivent pas être discriminée aux yeux de la loi.\n",
" 100% of those in group D who voted on statement 221 agreed.\n",
"\n",
"* Opérer un contrôle des modèles les plus avancés comme pour les matières nucléaires, au niveau mondial pour coopérer, identifier et limiter.\n",
" 100% of those in group D who voted on statement 192 disagreed.\n",
"\n",
"* Il faut prendre au sérieux le risque qu’une superintelligence artificielle mène à l’extinction humaine.\n",
" 100% of those in group D who voted on statement 110 disagreed.\n",
"\n",
"* Il faut mettre en pause le développement des IA.\n",
" 76% of those in group D who voted on statement 0 disagreed.\n",
"\n",
"* Il est important d’informer le grand public sur les risques d’extinction liés à l’IA.\n",
" 75% of those in group D who voted on statement 111 disagreed.\n",
"\n",
"\n",
"\n",
"-----------\n",
"ALGORITHM: PaCMAP\n",
"\n",
"GROUP A\n",
"* Différentes radicalités de discours ne sont pas un problème, tant que la direction global est la bonne.\n",
" 65% of those in group A who voted on statement 133 agreed.\n",
"\n",
"* Une super intelligence (Artificial Super Intelligence) pourrait apparaître d'ici moins de 20 ans\n",
" 65% of those in group A who voted on statement 100 agreed.\n",
"\n",
"* Il faut qu'il y ait des mécanismes de responsabilité (éthique, juridique, politique) pour encadrer la recherche & développement de l'IA.\n",
" 1% of those in group A who voted on statement 76 disagreed.\n",
"\n",
"\n",
"GROUP B\n",
"* Repenser le rapport au travail sachant qu'on a des outils toujours plus potentiellement libérateurs.\n",
" 0% of those in group B who voted on statement 66 disagreed.\n",
"\n",
"* Dans les apps, il faut interdire la mécanique de vidéos courtes infinies pour permettre aux citoyens de lever la tete de l'écran\n",
" 100% of those in group B who voted on statement 196 disagreed.\n",
"\n",
"* Atteindre la singularité est à éviter si l'on souhaite la survie de l'humanitée.\n",
" 100% of those in group B who voted on statement 174 disagreed.\n",
"\n",
"* L'alignement des IA passera notamment par le développement de modèles souverains démocratiques, open-source, et écologiquement transparents.\n",
" 100% of those in group B who voted on statement 153 disagreed.\n",
"\n",
"* Nous développerons une IA ayant des capacités similaires à celles des humains dans tous les domaines d’ici moins de cinq ans.\n",
" 100% of those in group B who voted on statement 115 disagreed.\n",
"\n",
"\n",
"GROUP C\n",
"* Mener activement des politiques publiques pour aident les enfants à ne pas passer trop de temps sur les réseaux sociaux\n",
" 95% of those in group C who voted on statement 31 agreed.\n",
"\n",
"* Il faut plus parler des risques actuels et potentiels des IA que des bénéfices actuels ou potentiels.\n",
" 92% of those in group C who voted on statement 62 agreed.\n",
"\n",
"* Faire de la prévention de type \"Pour votre santé, éviter de passer plus de 2 heures par jour sur les réseaux sociaux\"\n",
" 82% of those in group C who voted on statement 45 agreed.\n",
"\n",
"* Concernant les IAs de recommandations, créer un cadre juridique internationnal pour cadrer la modération\n",
" 97% of those in group C who voted on statement 60 agreed.\n",
"\n",
"* Une régulation démocratique de l'IA est nécessaire\n",
" 100% of those in group C who voted on statement 38 agreed.\n",
"\n",
"\n",
"\n",
"-----------\n",
"ALGORITHM: LocalMAP\n",
"\n",
"GROUP A\n",
"* L'IA n'est pas un risque pour le climat mais un coût (100% certitude)\n",
" 66% of those in group A who voted on statement 224 agreed.\n",
"\n",
"* Il n'est pas nécessaire de chaque personne aborde TOUS les problèmes simultanément pour être utile dans l'espace médiatique.\n",
" 100% of those in group A who voted on statement 135 agreed.\n",
"\n",
"* Créer european ia safety steering group EISSG, attirer les lobbyistes dedans, puis les mettre en prison, répéter autant que nécessaire\n",
" 70% of those in group A who voted on statement 52 disagreed.\n",
"\n",
"* Il est souhaitable de pousser à l'accélération du développement d'IA plus performantes en passant par la dérégulation et l'aide financière.\n",
" 100% of those in group A who voted on statement 203 disagreed.\n",
"\n",
"* Les avantages potentiels de l'IA valent tous les risques encourus en cas de désalignement ou usage mal intentionné des IA.\n",
" 88% of those in group A who voted on statement 219 disagreed.\n",
"\n",
"\n",
"GROUP B\n",
"* Les enfants ne doivent pas avoir accès à des IAs génératrices d’images ou de vidéos\n",
" 82% of those in group B who voted on statement 18 agreed.\n",
"\n",
"* Les IAs manipulant notre espace informationnelle doivent être régulées en priorité.\n",
" 100% of those in group B who voted on statement 77 agreed.\n",
"\n",
"* Le coût extractiviste et énergétique des IA est catastrophique.\n",
" 85% of those in group B who voted on statement 1 agreed.\n",
"\n",
"* Mener activement des politiques publiques pour aident les enfants à ne pas passer trop de temps sur les réseaux sociaux\n",
" 100% of those in group B who voted on statement 31 agreed.\n",
"\n",
"* Faire de la prévention de type \"Pour votre santé, éviter de passer plus de 2 heures par jour sur les réseaux sociaux\"\n",
" 89% of those in group B who voted on statement 45 agreed.\n",
"\n",
"\n",
"GROUP C\n",
"* Repenser le rapport au travail sachant qu'on a des outils toujours plus potentiellement libérateurs.\n",
" 0% of those in group C who voted on statement 66 disagreed.\n",
"\n",
"* Dans les apps, il faut interdire la mécanique de vidéos courtes infinies pour permettre aux citoyens de lever la tete de l'écran\n",
" 100% of those in group C who voted on statement 196 disagreed.\n",
"\n",
"* Atteindre la singularité est à éviter si l'on souhaite la survie de l'humanitée.\n",
" 100% of those in group C who voted on statement 174 disagreed.\n",
"\n",
"* L'alignement des IA passera notamment par le développement de modèles souverains démocratiques, open-source, et écologiquement transparents.\n",
" 100% of those in group C who voted on statement 153 disagreed.\n",
"\n",
"* Nous développerons une IA ayant des capacités similaires à celles des humains dans tous les domaines d’ici moins de cinq ans.\n",
" 100% of those in group C who voted on statement 115 disagreed.\n",
"\n",
"\n",
"\n",
"-----------\n"
]
}
]
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"# Work in Progress\n",
"\n",
"Working on an interface to allow custom painting of groups, and comparing representative statements and diverse majority statements between these painted groups:\n",
"\n",
"Demo: https://s5w7zm.csb.app/ (no statement stats, yet)\n",
"\n",
"![](https://imgur.com/l4SQrYZ.png)"
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