TY - GEN
T1 - Not All Counterhate Tweets Elicit the Same Replies
T2 - 12th Joint Conference on Lexical and Computational Semantics, StarSEM 2023, co-located with ACL 2023
AU - Albanyan, Abdullah
AU - Hassan, Ahmed
AU - Blanco, Eduardo
N1 - Publisher Copyright:
© 2023 Association for Computational Linguistics.
PY - 2023
Y1 - 2023
N2 - Counterhate arguments can effectively fight and limit the spread of hate speech. However, they can also exacerbate the hate, as some people may respond with aggression if they feel threatened or targeted by the counterhate. In this paper, we investigate replies to counterhate arguments beyond whether the reply agrees or disagrees with the counterhate argument. We present a corpus with 2,621 replies to counterhate arguments countering hateful tweets, and annotate them with fine-grained characteristics. We show that (a) half of the replies (51%) to the counterhate arguments disagree with the argument, and (b) this kind of reply often supports the hateful tweet (40%). We also analyze the language of counterhate arguments that elicit certain types of replies. Experimental results show that it is feasible to anticipate the kind of replies a counterhate argument will elicit.
AB - Counterhate arguments can effectively fight and limit the spread of hate speech. However, they can also exacerbate the hate, as some people may respond with aggression if they feel threatened or targeted by the counterhate. In this paper, we investigate replies to counterhate arguments beyond whether the reply agrees or disagrees with the counterhate argument. We present a corpus with 2,621 replies to counterhate arguments countering hateful tweets, and annotate them with fine-grained characteristics. We show that (a) half of the replies (51%) to the counterhate arguments disagree with the argument, and (b) this kind of reply often supports the hateful tweet (40%). We also analyze the language of counterhate arguments that elicit certain types of replies. Experimental results show that it is feasible to anticipate the kind of replies a counterhate argument will elicit.
UR - http://www.scopus.com/inward/record.url?scp=85175401023&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85175401023
T3 - Proceedings of the Annual Meeting of the Association for Computational Linguistics
SP - 71
EP - 88
BT - StarSEM 2023 - 12th Joint Conference on Lexical and Computational Semantics, Proceedings of the Conference
A2 - Palmer, Alexis
A2 - Camacho-Collados, Jose
PB - Association for Computational Linguistics (ACL)
Y2 - 13 July 2023 through 14 July 2023
ER -