Tweeting from fear
Gender violence against feminists on Twitter during Covid-191
Bibliographic Data
| ID | 12928547 |
|---|---|
| Authors | Diana Morena-Balaguer (0000-0003-4934-0439, Universitat de Vic - Universitat Central de Catalunya, corresponding author), Gloria García-Romeral (0000-0002-9270-8334, Universitat de Vic - Universitat Central de Catalunya), Mar Binimelis-Adell (0000-0003-2746-4326, Universitat de Vic - Universitat Central de Catalunya) |
| Year | 2023 |
| Volume | 16 |
| Issue | 1 |
| Pages | 3-23 |
| Publication date | 2023-11-28 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Catalan Journal of Communication & Cultural Studies (JOURNAL) |
| Journal identifiers | ISSN: 1757-1898 • E-ISSN: 1757-1901 |
| Publisher | Intellect (PUBLISHER • GB) |
| DOI | 10.1386/cjcs_00095_1 |
| OpenAlex | W4389083282 |
| Language | EN |
| References cited | 16 |
The research addresses how gender violence against feminists on Twitter during COVID-19 is produced. Mainly focused in the Catalan cultural context, 462,281 attacks on Twitter were analysed, using virtual ethnography and content analysis. We also conducted semi-structured interviews with key agents. This enabled to (1) analyse the profiles of feminists subjected to attacks and those who attack them, (2) identify the characteristics of this violence: how it appears, to which subjects it refers and what the trigger is, (3) identify which axes of inequality intersect in the attacks. The results determine that there are specific typologies of aggressors, that there is a correlation between the political–social agenda and the attacks, essentially on female politicians and journalists and that they tend to happen collectively as personal aggressions that get worse if they intersect with racial issues, for example
2019-20 coronavirus outbreak · Catalan · Computer security · Context (archaeology · Coronavirus disease 2019 (COVID-19 · Criminology · Ethnography · Gender violence · Humanities · Key (lock · Political science · Politics · Social media · Sociology · Computer Science · Gender Studies · Gender, Feminism, and Media · Hate Speech and Cyberbullying Detection · History · Law · Medicine · Social Media and Politics
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| Citation velocity | historical |
|---|---|
| Highly cited | No |