Quantifying extreme opinions on Reddit amidst the 2023 Israeli–Palestinian conflict

Alessio Guerra , Marcello Lepre , Oktay Karakuş
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Abstract

This study investigates the dynamics of extreme opinions on social media during the 2023 Israeli–Palestinian conflict, utilising a comprehensive dataset of over 450,000 posts from four Reddit subreddits (r/Palestine, r/Judaism, r/IsraelPalestine, and r/worldnews). A lexicon-based, unsupervised methodology was developed to measure “extreme opinions” by considering factors such as anger, polarity, and subjectivity. The analysis identifies significant peaks in extremism scores that correspond to pivotal real-life events, such as the IDF’s bombings of Al Quds Hospital and the Jabalia Refugee Camp, and the end of a ceasefire following a terrorist attack. Additionally, this study explores the distribution and correlation of these scores across different subreddits and over time, providing insights into the propagation of polarised sentiments in response to conflict events. By examining the quantitative effects of each score on extremism and analysing word cloud similarities through Jaccard indices, the research offers a nuanced understanding of the factors driving extreme online opinions. Our findings show that posts exhibiting extreme sentiment surged up to 80% (an increase of 0.3 in extremism score above the average of 0.405 at the end of October) during key conflict events. Compared to recent studies that have not explicitly quantified extremism in an unsupervised manner, we contribute to the literature by addressing this gap through a novel extremism score, derived from sentiment polarity, anger, and subjectivity, to analyse Reddit discourse surrounding the 2023 Israel–Palestine conflict. This approach captures the complex interplay between real-world events and online reactions, while acknowledging the inherent challenges of measuring extremism in dynamic social media environments. Our approach also enables scalable monitoring of public sentiment extremity, providing valuable insights for policymakers and conflict researchers.
量化2023年巴以冲突中Reddit上的极端观点
这项研究调查了2023年巴以冲突期间社交媒体上极端观点的动态,利用了来自Reddit四个子版块(r/Palestine, r/犹太教,r/以色列-巴勒斯坦和r/worldnews)的45万多条帖子的综合数据集。一种基于词典的、无监督的方法被开发出来,通过考虑诸如愤怒、极性和主观性等因素来衡量“极端观点”。分析发现极端主义得分的显著峰值与现实生活中的关键事件相对应,例如以色列国防军轰炸圣城医院和贾巴利亚难民营,以及恐怖袭击后停火的结束。此外,本研究还探讨了这些分数在不同子reddit上的分布和相关性,并随着时间的推移,为应对冲突事件的两极分化情绪的传播提供了见解。通过检查每个分数对极端主义的定量影响,并通过Jaccard指数分析词云相似性,该研究提供了对驱动极端网络观点的因素的细致理解。我们的研究结果显示,在重大冲突事件期间,表现极端情绪的帖子激增了80%(极端主义得分比10月底的平均得分0.405高出0.3)。与最近没有以无监督的方式明确量化极端主义的研究相比,我们通过一种基于情绪极性、愤怒和主观性的新颖极端主义评分来解决这一差距,以分析Reddit围绕2023年以色列-巴勒斯坦冲突的讨论,从而为文献做出贡献。这种方法捕捉到了现实世界事件与网络反应之间复杂的相互作用,同时也承认了在动态的社交媒体环境中衡量极端主义的内在挑战。我们的方法还可以对公众极端情绪进行可扩展的监测,为政策制定者和冲突研究人员提供有价值的见解。
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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