Concept
Perverse Downstream Consequences of Debunking - RQ3 Language Toxicity
- 245,044 original tweets and 276,418 retweets had toxicity scores
- Correction increases language toxicity for retweets but not for original tweets
- Effects of corrections also impact the partisan slant and language toxicity of subsequent tweets besides tweet quality
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Updated 2021-08-07
Tags
CSCW (Computer-supported cooperative work)
Computing Sciences
Related
Perverse Downstream Consequences of Debunking - Discussion of Findings
Perverse Downstream Consequences of Debunking - RQ1 (Re)tweet Quality
Perverse Downstream Consequences of Debunking - RQ2 Channel of Attention
Perverse Downstream Consequences of Debunking - RQ3 Partisan Slant
Perverse Downstream Consequences of Debunking - RQ3 Language Toxicity
Perverse Downstream Consequences of Debunking - User Activity
Perverse Downstream Consequences of Debunking - User Characteristics