Antisemitism on Twitter: Collective Efficacy and the Role of Community Organisations in Challenging Online Hate Speech

Social Media and Society

34 Pages Posted: 14 Mar 2020

See all articles by Sefa Ozalp

Sefa Ozalp

Cardiff University, School of Social Sciences

Matthew L. Williams

Cardiff University - School of Social Sciences

Pete Burnap

Cardiff University

Han Liu

affiliation not provided to SSRN

Mo Mostafa

affiliation not provided to SSRN

Date Written: November 29, 2019

Abstract

In this paper, we conduct a comprehensive study of online antagonistic content related to Jewish identity posted on Twitter between October 2015 and October 2016 by UK-based users. We trained a scalable supervised machine learning classifier to identify antisemitic content to reveal patterns of online antisemitism perpetration at the source. We built statistical models to analyse the inhibiting and enabling factors of the size (number of retweets) and survival (duration of retweets) of information flows in addition to the production of online antagonistic content. Despite observing high temporal variability, we found that only a small proportion (0.7%) of the content was antagonistic. We also found that antagonistic content was less likely to disseminate in size or survive fora longer period. Information flows from antisemitic agents on Twitter gained less traction, while information flows emanating from capable and willing counter-speech actors -i.e. Jewish organisations- had a significantly higher size and survival rates. This study is the first to demonstrate that Sampson’s classic sociological concept of collective efficacy can be observed on social media (SM). Our findings suggest that when organisations aiming to counter harmful narratives become active on SM platforms, their messages propagate further and achieve greater longevity than antagonistic messages. On SM, counter-speech posted by credible, capable and willing actors can be an effective measure to prevent harmful narratives. Based on our findings, we underline the value of the work by community organisations in reducing the propagation of cyberhate and increasing trust in SM platforms.

Keywords: antisemitism, social media, twitter, big data, online hate, text classification

Suggested Citation

Ozalp, Sefa and Williams, Matthew L. and Burnap, Pete and Liu, Han and Mostafa, Mo, Antisemitism on Twitter: Collective Efficacy and the Role of Community Organisations in Challenging Online Hate Speech (November 29, 2019). Social Media and Society. Available at SSRN: https://ssrn.com/abstract=3532492

Sefa Ozalp (Contact Author)

Cardiff University, School of Social Sciences ( email )

Cardiff
United Kingdom

Matthew L. Williams

Cardiff University - School of Social Sciences ( email )

The Glamorgan Building
King Edward VII Avenue
Cardiff, Wales CF10 3WT
United Kingdom

Pete Burnap

Cardiff University ( email )

Aberconway Building
Colum Drive
Cardiff, Wales CF10 3EU
United Kingdom

Han Liu

affiliation not provided to SSRN

Mo Mostafa

affiliation not provided to SSRN

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