From Toxicity in Online Comments to Incivility in American News: Proceed with Caution
| Autor: | Anushree Hede, Ani Nenkova, Diana C. Mutz, Oshin Agarwal, Linda Lu |
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| Rok vydání: | 2021 |
| Předmět: |
FOS: Computer and information sciences
Computer Science - Computation and Language business.industry Computer science media_common.quotation_subject Internet privacy Perspective (graphical) Identity (social science) Test (assessment) Incivility Politics Civility Error analysis Perception business Computation and Language (cs.CL) media_common |
| Zdroj: | EACL |
| DOI: | 10.48550/arxiv.2102.03671 |
| Popis: | The ability to quantify incivility online, in news and in congressional debates, is of great interest to political scientists. Computational tools for detecting online incivility for English are now fairly accessible and potentially could be applied more broadly. We test the Jigsaw Perspective API for its ability to detect the degree of incivility on a corpus that we developed, consisting of manual annotations of civility in American news. We demonstrate that toxicity models, as exemplified by Perspective, are inadequate for the analysis of incivility in news. We carry out error analysis that points to the need to develop methods to remove spurious correlations between words often mentioned in the news, especially identity descriptors and incivility. Without such improvements, applying Perspective or similar models on news is likely to lead to wrong conclusions, that are not aligned with the human perception of incivility. Comment: Accepted at EACL 2021 |
| Databáze: | OpenAIRE |
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