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Main Authors: Shea, Ashley L., Omapang, Aspen K. B., Cho, Ji Yong, Ginsparg, Miryam Y., Bazarova, Natalie, Hui, Winice, Kizilcec, René F., Tong, Chau, Margolin, Drew
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2405.08142
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author Shea, Ashley L.
Omapang, Aspen K. B.
Cho, Ji Yong
Ginsparg, Miryam Y.
Bazarova, Natalie
Hui, Winice
Kizilcec, René F.
Tong, Chau
Margolin, Drew
author_facet Shea, Ashley L.
Omapang, Aspen K. B.
Cho, Ji Yong
Ginsparg, Miryam Y.
Bazarova, Natalie
Hui, Winice
Kizilcec, René F.
Tong, Chau
Margolin, Drew
contents Most Americans agree that misinformation, hate speech and harassment are harmful and inadequately curbed on social media through current moderation practices. In this paper, we aim to understand the discursive strategies employed by people in response to harmful speech in news comments. We conducted a content analysis of more than 6500 comment replies to trending news videos on YouTube and Twitter and identified seven distinct discursive objection strategies (Study 1). We examined the frequency of each strategy's occurrence from the 6500 comment replies, as well as from a second sample of 2004 replies (Study 2). Together, these studies show that people deploy a diversity of discursive strategies when objecting to speech, and reputational attacks are the most common. The resulting classification scheme accounts for different theoretical approaches for expressing objections and offers a comprehensive perspective on grassroots efforts aimed at stopping offensive or problematic speech on campus.
format Preprint
id arxiv_https___arxiv_org_abs_2405_08142
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Discursive objection strategies in online comments: Developing a classification schema and validating its training
Shea, Ashley L.
Omapang, Aspen K. B.
Cho, Ji Yong
Ginsparg, Miryam Y.
Bazarova, Natalie
Hui, Winice
Kizilcec, René F.
Tong, Chau
Margolin, Drew
Computation and Language
Computers and Society
I.2.7, J.4
Most Americans agree that misinformation, hate speech and harassment are harmful and inadequately curbed on social media through current moderation practices. In this paper, we aim to understand the discursive strategies employed by people in response to harmful speech in news comments. We conducted a content analysis of more than 6500 comment replies to trending news videos on YouTube and Twitter and identified seven distinct discursive objection strategies (Study 1). We examined the frequency of each strategy's occurrence from the 6500 comment replies, as well as from a second sample of 2004 replies (Study 2). Together, these studies show that people deploy a diversity of discursive strategies when objecting to speech, and reputational attacks are the most common. The resulting classification scheme accounts for different theoretical approaches for expressing objections and offers a comprehensive perspective on grassroots efforts aimed at stopping offensive or problematic speech on campus.
title Discursive objection strategies in online comments: Developing a classification schema and validating its training
topic Computation and Language
Computers and Society
I.2.7, J.4
url https://arxiv.org/abs/2405.08142