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Hate speech predicts engagement on social media: A case study from Turkey

Kamil Yilmaz Orcid Logo

Security, Terrorism and Society

Swansea University Author: Kamil Yilmaz Orcid Logo

Abstract

What drives engagement on social media has been the focus of social scientific inquiry especially in recent years. Among various established predictors of virality on social media are emotional language, language about in- and out-groups, and notions of positivity and negativity. In light of prior w...

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Published in: Security, Terrorism and Society
Published: 2023
URI: https://cronfa.swan.ac.uk/Record/cronfa65074
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first_indexed 2023-11-22T16:08:36Z
last_indexed 2023-11-22T16:08:36Z
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spelling v2 65074 2023-11-22 Hate speech predicts engagement on social media: A case study from Turkey 20e299fd61533a98605102c73074732a 0000-0001-9453-8415 Kamil Yilmaz Kamil Yilmaz true false 2023-11-22 LAWD What drives engagement on social media has been the focus of social scientific inquiry especially in recent years. Among various established predictors of virality on social media are emotional language, language about in- and out-groups, and notions of positivity and negativity. In light of prior work, this study explores whether hate speech in the form of demonization of a social group is associated with engagement on social media by using a case study from Turkey: The Gülen Movement (GM), a once-admired social movement that has been going through a decade-long demonization, stigmatization, criminalization and persecution. The results show that demonizing language against GM (a specific out-group) is a strong predictor of virality in three of the largest social media platforms in Turkey’s social media ecosystem: Facebook, Instagram and Twitter. The results also show that demonizing language about a specific out-group has the largest effect size compared to other well-established predictors of virality such as the moral-emotional language, language about the in-group and language about the (general) out-group. Journal Article Security, Terrorism and Society Hate speech, demonization, social-media, specific out-group, Gülen Movement, Turkey 31 12 2023 2023-12-31 COLLEGE NANME Law COLLEGE CODE LAWD Swansea University Not Required 2024-04-26T12:56:53.1697262 2023-11-22T16:01:49.3464307 Faculty of Humanities and Social Sciences Hilary Rodham Clinton School of Law Kamil Yilmaz 0000-0001-9453-8415 1 65074__29431__95a042b87494451c8236cdf8bea18648.pdf SicTerSoc 18_2023_Kamil_Hate_Speech.pdf 2024-01-10T19:15:07.2823886 Output 2421218 application/pdf Author's Original true false 218 Kamil Yilmaz 0000-0001-9453-8415 kamil.yilmaz@swansea.ac.uk true https://osf.io/q9yp5/ false 1
title Hate speech predicts engagement on social media: A case study from Turkey
spellingShingle Hate speech predicts engagement on social media: A case study from Turkey
Kamil Yilmaz
title_short Hate speech predicts engagement on social media: A case study from Turkey
title_full Hate speech predicts engagement on social media: A case study from Turkey
title_fullStr Hate speech predicts engagement on social media: A case study from Turkey
title_full_unstemmed Hate speech predicts engagement on social media: A case study from Turkey
title_sort Hate speech predicts engagement on social media: A case study from Turkey
author_id_str_mv 20e299fd61533a98605102c73074732a
author_id_fullname_str_mv 20e299fd61533a98605102c73074732a_***_Kamil Yilmaz
author Kamil Yilmaz
author2 Kamil Yilmaz
format Journal article
container_title Security, Terrorism and Society
publishDate 2023
institution Swansea University
college_str Faculty of Humanities and Social Sciences
hierarchytype
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str Hilary Rodham Clinton School of Law{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}Hilary Rodham Clinton School of Law
document_store_str 1
active_str 0
description What drives engagement on social media has been the focus of social scientific inquiry especially in recent years. Among various established predictors of virality on social media are emotional language, language about in- and out-groups, and notions of positivity and negativity. In light of prior work, this study explores whether hate speech in the form of demonization of a social group is associated with engagement on social media by using a case study from Turkey: The Gülen Movement (GM), a once-admired social movement that has been going through a decade-long demonization, stigmatization, criminalization and persecution. The results show that demonizing language against GM (a specific out-group) is a strong predictor of virality in three of the largest social media platforms in Turkey’s social media ecosystem: Facebook, Instagram and Twitter. The results also show that demonizing language about a specific out-group has the largest effect size compared to other well-established predictors of virality such as the moral-emotional language, language about the in-group and language about the (general) out-group.
published_date 2023-12-31T12:56:52Z
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score 11.013575

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