Created
February 24, 2018 17:20
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Emanuel, | |
Excellent post, I like the relevance of the concepts around misinformation. These visualization concepts parallel familiar Information Operations and Information Warfare concepts. I recall taking a machine learning course (over 15 years ago) by Professor Michalski at GMU's Machine Learning and Inference laboratory. He mentioned that information could be evaluated over three axes: specificity, relevance, and accuracy/truthfulness. I've used this rapid assessment tool for information in nearly every domain in my career since that course. | |
From what I have learned so far in this course, information assessment tools are equally useful in the visualization domain. From a defensive stance, if we have 'gold copy' source data, we can evaluate the truthfulness of a visualization using the lie factor. Evaluate specificity using assessment of scale, as you referenced Wainer's Rule #2. Relevance is a bit harder, but likely the most important in online information sharing, since we see how seamlessly fake news can highjack major social issues for alternative intents. |
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