Mapping Twitter hate speech towards social and sexual minorities: a lexicon-based approach to semantic content analysis. Issue 7 (2nd July 2020)
- Record Type:
- Journal Article
- Title:
- Mapping Twitter hate speech towards social and sexual minorities: a lexicon-based approach to semantic content analysis. Issue 7 (2nd July 2020)
- Main Title:
- Mapping Twitter hate speech towards social and sexual minorities: a lexicon-based approach to semantic content analysis
- Authors:
- Lingiardi, Vittorio
Carone, Nicola
Semeraro, Giovanni
Musto, Cataldo
D'Amico, Marilisa
Brena, Silvia - Abstract:
- ABSTRACT: Though there are currently no statistics offering a global overview of online hate speech, both social networking platforms and organisations that combat hate speech have recognised that prevention strategies are needed to address this negative online phenomenon. While most cases of online hate speech target individuals on the basis of ethnicity and nationality, incitements to hatred on the basis of religion, class, gender and sexual orientation are increasing. This paper reports the findings of the 'Italian Hate Map' project, which used a lexicon-based method of semantic content analysis to extract 2, 659, 879 Tweets (from 879, 428 Twitter profiles) over a period of 7 months; 412, 716 of these Tweets contained negative terms directed at one of the six target groups. In the geolocalized Tweets, women were the most insulted group, having received 71, 006 hateful Tweets (60.4% of the negative geolocalized tweets), followed by immigrants (12, 281 tweets, 10.4%), gay and lesbian persons (12, 140 tweets, 10.3%), Muslims (7, 465 tweets, 6.4%), Jews (7, 465 tweets, 6.4%) and disabled persons (7, 230 tweets, 6.1%). The findings provide a real-time snapshot of community behaviours and attitudes against social, ethnic, sexual and gender minority groups that can be used to inform intolerance prevention campaigns on both local and national levels.
- Is Part Of:
- Behaviour & information technology. Volume 39:Issue 7(2020)
- Journal:
- Behaviour & information technology
- Issue:
- Volume 39:Issue 7(2020)
- Issue Display:
- Volume 39, Issue 7 (2020)
- Year:
- 2020
- Volume:
- 39
- Issue:
- 7
- Issue Sort Value:
- 2020-0039-0007-0000
- Page Start:
- 711
- Page End:
- 721
- Publication Date:
- 2020-07-02
- Subjects:
- Online hate speech -- intolerance prevention -- Twitter -- social minorities -- sexual minorities
Electronic data processing -- Periodicals
Human engineering -- Periodicals
Information technology -- Periodicals
303.4833 - Journal URLs:
- http://www.tandfonline.com/ ↗
- DOI:
- 10.1080/0144929X.2019.1607903 ↗
- Languages:
- English
- ISSNs:
- 0144-929X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1876.660000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13705.xml