Combating Islamophobia: Compromise, Community, and Harmony in Mitigating Harmful Online Content

M. Rifat, Ashratuz Zavin Asha, Shivesh Jadon, Xinyi Yan, Shion Guha, Syed Ishtiaque Ahmed
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Abstract

Despite significant advances in content moderation within HCI, social computing scholarship in this area remains constrained by secular values and Western interpretations of justice. As a result, current literature often overlooks religious and spiritual sensibilities, as well as communal peacebuilding efforts even when the harms originate from and strongly connected to faith sensitivities, such as Islamophobia. This paper presents findings from a design and evaluation study on the reporting and moderation of Islamophobic posts on Twitter (currently known as “X”). By utilizing HCI theories and readily available NLP techniques, we developed an online tool for reporting and moderating Islamophobic tweets. We subsequently conducted usability studies, contextual inquiries, and interviews with 32 participants to assess the tool’s effectiveness in addressing Islamophobic content. Our study revealed that factors such as faith-related knowledge practices, fact-checking, communal leadership, social harmony, and the cultural-religious value of “compromise” significantly influence reactions to Islamophobic posts online. Expanding on these findings and drawing from the literature on conflict resolution in theology, legal studies, and justification., we explore how “Sulha,” a community-driven process for mitigating conflict and restoring communal peace, can cater to faith-based sensibilities in reporting and moderating Islamophobic content. Therefore, this paper complements existing content moderation literature with recommendation of adapting faith-sensitivities for in the design of tools and policies to mitigate Islamophobia and similar faith-related online harms.
打击仇视伊斯兰现象:在减少有害网络内容方面实现妥协、社区与和谐
尽管人机交互在内容节制方面取得了重大进展,但该领域的社会计算学术研究仍然受到世俗价值观和西方正义解释的限制。因此,目前的文献往往忽视了宗教和精神情感,以及社区和平建设工作,即使危害源自信仰敏感性并与之密切相关,如仇视伊斯兰教。本文介绍了一项关于 Twitter(目前称为 "X")上仇视伊斯兰教帖子的报告和节制的设计与评估研究的结果。通过利用人机交互理论和现成的 NLP 技术,我们开发了一个用于报告和审核仇视伊斯兰教推文的在线工具。随后,我们对 32 名参与者进行了可用性研究、背景调查和访谈,以评估该工具在处理伊斯兰恐惧症内容方面的有效性。我们的研究表明,与信仰相关的知识实践、事实核查、社区领导力、社会和谐以及 "妥协 "的文化-宗教价值观等因素对网上仇视伊斯兰教帖子的反应有重大影响。根据这些研究结果,并借鉴神学、法律研究和正义学中有关解决冲突的文献,我们探讨了 "Sulha"(一种由社区推动的缓解冲突、恢复社区和平的程序)如何在报道和修改仇视伊斯兰教的内容时迎合基于信仰的敏感性。因此,本文补充了现有的内容节制文献,建议在设计工具和政策时考虑信仰敏感性,以减轻仇视伊斯兰教和类似的与信仰有关的网络伤害。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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