arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2405.10213cs.SIcs.CLcs.CY

社交媒体讨论中触发词的因果效应:关于英国政治在Reddit上的大规模案例研究

Causal Effects of Trigger Words in Social Media Discussions: A Large-Scale Case Study about UK Politics on Reddit

Cardiff University(卡迪夫大学);University of Birmingham(伯明翰大学)

Dimosthenis Antypas, Christian Arnold, Nedjma Ousidhoum, Carla Perez Almendros, Jose Camacho-Collados

AI总结:

本研究通过分析Reddit上的英国政治讨论,发现触发词与高参与度和负面情绪相关,揭示了社交媒体中极化现象的机制。

摘要:

社交媒体上的政治辩论往往迅速升级,导致参与度增加以及更加情绪化和极化的交流。触发点(Mau, Lux 和 Westheuser 2023)代表了个体感觉社会对公平、正常或适当理解被质疑的时刻。分析Reddit讨论,我们研究触发点如何塑造在线辩论,并评估其对参与度和情感的影响。我们的分析基于来自以预定义术语集为中心的子Reddit的超过1亿条评论,这些术语被识别为英国政治中的触发词。我们发现提及这些术语与更高的参与度和增加的敌意有关,包括更具争议性、负面、愤怒和仇恨的回应。这些结果将触发词定位为建模和分析在线极化的一种有用概念。

英文摘要:

Political debates on social media often escalate quickly, leading to increased engagement as well as more emotional and polarised exchanges. Trigger points (Mau, Lux, and Westheuser 2023) represent moments when individuals feel that their understanding of what is fair, normal, or appropriate in society is being questioned. Analysing Reddit discussions, we examine how trigger points shape online debates and assess their impact on engagement and affect. Our analysis is based on over 100 million comments from subreddits centred on a predefined set of terms identified as trigger words in UK politics. We find that mentions of these terms are associated with higher engagement and increased animosity, including more controversial, negative, angry, and hateful responses. These results position trigger words as a useful concept for modelling and analysing online polarisation.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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