Platformization hate. Patterns and algorithmic bias of verbal violence on social media.

Patterns and algorithmic bias of verbal violence on social media

Authors

  • Miriam Di Lisio Università degli Studi di Napoli "Federico II"
  • Rosa Sorrentino Università degli Studi di Napoli "Federico II"
  • Domenico Trezza Università degli Studi di Napoli "Federico II"

Keywords:

Verbal violence, Hate speech, Algorithms, Supervised classification

Abstract

The contribution presented is an analysis of Hate Speech of tweets during the implementation of the EU Covid Certificate policy. The research question aims to understand the phenomenon of verbal violence from two perspectives: first, from the perspective of the text. What are the most frequent topics behind the verbal violence? As hypothesized in many previous works, is the phenomenon related to the circulation of fake news or is there more to it? The second follows the users' perspective: how do users profiling verbal violence emerge? The results we have reached are, from a substantive point of view, of good interest because they show us how it is possible to see a new type of online hate. However, disagreements that we have encountered in constructing an unambiguous definition of HS for the supervised algorithm leaves many questions open. Among all, that indeed the difference between HS and freedom of expression can be very thin. In the context of large social platforms, where algorithm criteria are not always explicit, and are also platform policies - this could be a problematic issue.

Author Biographies

Miriam Di Lisio, Università degli Studi di Napoli "Federico II"

MIRIAM DI LISIO graduated from the master's course in “Public, social and politics "at the Department of Social Sciences of the Federico II University of Naples. She is a PhD student in Social Sciences and Statistics and collaborator at the II level Master in "Direction, Management and Coordination of Healthcare, Social and Territorial Social Assistance Structures" in the same location. Her scientific interests mainly concern methodological themes and the study of sociology of science. Among her latest publications: Roberti C., (2021), Paths of Sociology of Disability. Life independent and public spending in Italy: an analysis according to the System World, Key Publisher, Milan, pp. 83-118; Di Lisio M., Trezza D., (2022), The “Blue Check” Communication on the Pandemia Vaccine Campaign: Analysis of Tweets From Verified Accounts, in Handbook of Research on Advanced Research
Methodologies for a Digital Society in IGI Global, pp. 664-685; Di Lisio M., & Trezza D. (2021), Digital Methods to Study (and Reduce) the Impact of Disinformation, in Culture and Social Studies, 6 (1), Special, 139-151.

Domenico Trezza, Università degli Studi di Napoli "Federico II"

Domenico Trezza is PhD in Statistic and Social Sciences at the Department of Social Sciences, University of Naples Federico II. He is senior researcher of the S.f.o.r.a project of the Department of Social Sciences. His research interests include: methodological issues in the study of digital data, environment and risk perception, evaluation of educational policies and governance models of social policies. Among his most recent publications: Punziano, G., De Falco, C.C., Trezza, D. (2022). Digital mixed content analysis perspective for the study of digital platform social data: an application on the analysis of the COVID-19 risk perception in the Italian Twittersphere. Journal of Mixed Methods Research, Sage Trezza D., & Di Lisio M. (2022). The “Blue Check” Communication on the Pandemia Vaccine Campaign: Analysis of Tweets from Verified Accounts. In G. Punziano & A. Delli Paoli. Handbook of Research on Advanced Research Methodologies for a Digital Society (pp. 664-685). IGI Global, Hershey, Pennsylvania, USA.

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Published

2022-12-31

How to Cite

Di Lisio, M., Sorrentino, R., & Trezza, D. (2022). Platformization hate. Patterns and algorithmic bias of verbal violence on social media.: Patterns and algorithmic bias of verbal violence on social media. Mediascapes Journal, 20(2), 47–69. Retrieved from https://rosa.uniroma1.it/rosa03/mediascapes/article/view/18039

Issue

Vol. 20 No. 2 (2022): Cultural Machines. Unlocking the power of digital methods and computational techniques for understanding socio-cultural processes in digital environments

Section

Articles

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