“Toxic atmosphere effect”: Uncivil online comments cue negative audience perceptions of news outlet credibility
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Uncivil user comments have been found to have a negative effect on how people perceive an issue featured in the news, a news story, or a journalist who reports a news story. To advance this line of research, we draw on expectancy violations theory and the concept of heuristic cues to theorize the toxic atmosphere effect . We theorize that incivility in online comment threads could pose an even larger challenge to news organizations by cuing news audience members to perceive an entire news outlet—not just an individual story—as lacking in credibility. Based on two experiments in the United States (Study 1, n = 520; Study 2, n = 1056), we show that exposure to incivility can lead people to perceive a news outlet as less credible even though the incivility did not directly attack the news outlet. Such effects hold true even when people are exposed to comment threads in which the first several comments are civil. Democratic and business implications are discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it