分析45万条Reddit帖文，量化冲突中极端言论的爆发规律。
Quantifying Extreme Opinions on Reddit Amidst the 2023 Israeli-Palestinian Conflict
- 用情绪、极性等指标构建无监督极端观点测量方法。
- 发现极端值高峰与以军轰炸医院等事件高度重合。
- 适合关注网络舆情、冲突传播的研究者参考。
本研究通过分析2023年以巴冲突期间来自四个Reddit子版块（r/Palestine、r/Judaism、r/IsraelPalestine、r/worldnews）超过45万条帖子，探究社交媒体上极端观点的动态演变。采用基于词典的无监督方法，综合愤怒、极性和主观性等维度量化“极端观点”。分析显示，极端主义评分在关键现实事件（如以军轰炸阿勒·古德斯医院、贾巴利亚难民营，以及停火协议破裂后的恐怖袭击）后出现显著峰值。研究还揭示了不同子版块间评分的分布差异与时间关联性，展示了舆论极化的传播模式。通过分析各评分对极端主义的影响及词云相似性（采用杰卡德指数），进一步理解驱动极端在线言论的因素。该方法凸显了社交媒体分析在捕捉现实事件与网络话语复杂互动中的潜力，同时指出了衡量社交平台极端主义的局限与挑战。
原文摘要 · Abstract (English)
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. This approach underscores the potential of social media analytics in capturing the complex interplay between real-world events and online discourse, while also highlighting the limitations and challenges of measuring extremism in social media contexts.
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