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通过细化识别AI辅助反言论的升级路径

Identifying a Level-up Pathway for AI-assisted Counterspeech through Elaboration

Han Li, Inhwan Bae, Natalie Bazarova, Drew Margolin

arXiv 2607.28239首次发表:更新:

AI 中文总结

该研究针对社交媒体反疫苗内容的反言论创作难题,设计三类AI辅助反言论写作系统,经随机对照试验发现其可提升反言论感知有效性,保留真实表达,为社区反言论提供升级路径。

AI 中文摘要

鉴于社交媒体上反疫苗内容对社会的深远影响,社区驱动的反言论已成为对抗和遏制此类不良内容的有效参与式应对方式。然而,普通用户创作有效的反言论仍面临挑战,这限制了他们建设性参与的意愿和能力。我们设计并评估了三种生成式AI辅助反言论写作系统,这些系统在辅助阶段(协同写作vs.改写)和模式(引导式vs.无引导式)上存在差异,旨在支持非专业用户对反疫苗内容作出回应。我们探究了AI是否能帮助用户创作被认为既有效又真实的反言论、哪种形式的AI辅助效果最佳,以及通过何种机制实现。在一项针对社交媒体用户的随机对照试验中,参与者对统计类和叙事类反疫苗内容分别撰写反言论回应。在各类证据类型中,AI辅助写作提升了反言论的感知有效性,同时在很大程度上保留了真实的自我表达,且感知有效性是公开参与反言论意愿的最强预测因素。AI的主要益处在于促进更细化的写作,产出的信息更丰富、更具分析性且词汇更精妙。这些发现为AI辅助的社区驱动反言论指明了一条升级路径,有助于培养更高效、更有动力的反言论参与者,推动关于紧迫社会议题的更高质量公共讨论。

英文摘要

Given the profound societal impact of vaccine-skeptical content on social media, community-driven counterspeech has emerged as a promising participatory response to contest and curb such objectionable content. Yet crafting effective counterspeech remains challenging for ordinary users, limiting their willingness and ability to engage constructively. We designed and evaluated three generative AI-assisted counterspeech writing systems that vary by assistance stage (co-writing vs. re-writing) and mode (guided vs. unguided) to support lay users' responses to vaccine-skeptical content. We ask whether AI can help users craft counterspeech perceived as both effective and authentic, which forms of AI support work best, and through what mechanisms. In a randomized controlled trial with social media users, participants wrote counterspeech responses to both statistical and narrative vaccine-skeptical content. Across evidence types, AI-assisted writing increased perceived counterspeech effectiveness while largely preserving authentic self-expression, and perceived effectiveness was the strongest predictor of willingness to counterspeak publicly. AI's primary benefit was facilitating more elaborate writing, producing messages that were more informative, analytical, and lexically sophisticated. These findings suggest a level-up pathway for AI-assisted, community-driven counterspeech, which helps cultivate more effective and motivated counterspeakers, contributing to higher-quality public discourse on pressing societal issues.

论文原文

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