Topic summary
ā 43%1 analyzed article/video439 analyzed words
BS Summary: These Artificial Intelligence In Politics results contain 21 faulty reasoning types, including Post Hoc (False Cause), Confirmation Bias, and Biased Writer Voice, with Negativity Bias as the most egregious example at 11.5% saturation with 202 hits. Analysis detected 1,299 faulty-reasoning hits from 1,756 analyzed words across 1 article, generating a BS Score of 3.5% and a BS Rank of ā 70% (6,600 of 21,490 topics). This Artificial Intelligence In Politics is worse (more manipulative) than 69.30% of the peer group.
Artificial Intelligence In Politics
Topic details
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Attribute Prevalence (Top 48)
Artificial Intelligence In Politics attribute prevalence percentages (biases/fallacies), sorted highest to lowest.
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Artificial Intelligence In Politics vs sitewide
Artificial Intelligence In Politics attribute percentages, with an overlaid sitewide baseline for those same attributes.