Topic summary
⁠94%1 analyzed article/video701 analyzed words
BS Summary: These Mental Health Impact Of AI results contain 27 faulty reasoning types, including Negativity Bias, Appeal to Emotion, and Hasty Generalization, with Confirmation Bias as the most egregious example at 21.6% saturation with 454 hits. Analysis detected 2,922 faulty-reasoning hits from 2,103 analyzed words across 1 article, generating a BS Score of 5.1% and a BS Rank of ⁠76% (3,718 of 15,414 topics). This Mental Health Impact Of AI is worse (more manipulative) than 75.90% of the peer group.
Mental Health Impact Of AI
Topic ranking list
PercentileTopicBS Score
⁠0%Pittsburgh Pirates1%
⁠0%Opera1%
⁠0%Holocaust1%
⁠0%Privacy Policy1%
⁠0%Alameda County1%
⁠76%Mental Health Impact Of AI (selected)6%
⁠100%Radio Roundup / Week In Review60%
⁠100%E-Bikes / Rad Power Bikes60%
⁠100%E Bikes Rad Power Bikes60%
⁠100%The Last Word With Lawrence O'donnell69%
⁠100%The Last Word With Lawrence Odonnell69%
Topic details
Total words: 2,103
Article count: 1
Authors
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Attribute Prevalence (Top 48)
Mental Health Impact Of AI attribute prevalence percentages (biases/fallacies), sorted highest to lowest.
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Mental Health Impact Of AI vs sitewide
Mental Health Impact Of AI attribute percentages, with an overlaid sitewide baseline for those same attributes.

Analyzed articles and videos