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ELF22: A Context-based Counter Trolling Dataset to Combat Internet Trolls. (arXiv:2208.00176v3 [cs.CL] UPDATED)
Sept. 8, 2022, 1:15 a.m. | Huije Lee, Young Ju NA, Hoyun Song, Jisu Shin, Jong C. Park
cs.CL updates on arXiv.org arxiv.org
Online trolls increase social costs and cause psychological damage to
individuals. With the proliferation of automated accounts making use of bots
for trolling, it is difficult for targeted individual users to handle the
situation both quantitatively and qualitatively. To address this issue, we
focus on automating the method to counter trolls, as counter responses to
combat trolls encourage community users to maintain ongoing discussion without
compromising freedom of expression. For this purpose, we propose a novel
dataset for automatic counter …
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