BS Summary: These US Midterm Elections results contain 51 faulty reasoning types, including Framing Effect, Politically Left Leaning Bias, and Appeal to Emotion, with Negativity Bias as the most egregious example at 16.3% saturation with 6,562 hits. Analysis detected 39,351 faulty-reasoning hits from 40,280 analyzed words across 9 articles, generating a BS Score of 1.9% and a BS Rank of 20% (18,628 of 23,170 keywords). This US Midterm Elections is better (less manipulative) than 80.40% of the peer group.
US Midterm Elections
Keyword details
Total words: 40,280
Article count: 9
Authors
- Al Jazeera Staff
- Anna Betts
- Cecilia Nowell
- Chris Stein
- Dani Anguiano
- David Smith
- davidsmith
- dharna-noor
- gabrielle-canon
- George Chidi
- https:
- Lauren Gambino
- Lucy Campbell
- lucy-campbell
- Maham Javaid
- marina-dunbar
- profile
- Rachel Leingang
- Rachel Savage
- rachel-leingang
- robert-mackey
- Roque Planas
- shannon-ho
- Steven Greenhouse
- Tom Ambrose
- tom-ambrose
- uwa-ede-osifo
- www.theguardian.com
Showing top 48 attributes by prevalence for chart readability.
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Attribute Prevalence (Top 48)
US Midterm Elections attribute prevalence percentages (biases/fallacies), sorted highest to lowest.
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US Midterm Elections vs All Other Publications
US Midterm Elections attribute percentages, with an overlaid baseline for all publications (Overall) for those same attributes.