Platformization hate

Patterns and algorithmic bias of verbal violence on social media

Autori

  • 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"

Parole chiave:

Verbal violence, Hate speech, Algorithms, Supervised classification

Abstract

The paper presented is an analysis of the Hate Speech of tweets during the implementation of the EU's Digital Covid Certificate policy. The work starts from the assumption that Hate Speech is an often "submerged" phenomenon because it also includes some forms recognized as "incivility." Therefore, there are two research questions: the first asks what are the new categories of "hate" that emerge in the EU Digital Covid Certificate policy debate, while the second questions the methodological implications on the use of algorithms in detecting the phenomenon. The results we arrived at are, from a substantive point of view, of good interest because they show us how it is possible to witness a new kind of online hatred. However, the disagreements we encountered in constructing an unambiguous definition of HS for the supervised algorithm leave open many questions. Among them is the fact that the differences between HS, incivility, and even freedom of expression can be very small. In the context of large social platforms, where the criteria of the algorithm are not always explicit and are also the policies of the platform, this could be a problem.

Biografie autore

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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Pubblicato

2022-12-31

Come citare

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

Fascicolo

V. 20 N. 2 (2022): Cultural Machines. Unlocking the power of digital methods and computational techniques for understanding socio-cultural processes in digital environments

Sezione

Saggi

Licenza

Creative Commons License

TQuesto lavoro è fornito con la licenza Creative Commons Attribuzione 4.0 Internazionale.

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