arXiv:2409.07684cs.SIcs.AI2024-09被引 1

分析俄乌战争初期Telegram上两派信息叙事的演变差异

Modeling Information Narrative Detection and Evolution on Telegram during the Russia-Ukraine War

  • 对比分析开战后三个月内亲俄与亲乌社群的言论
  • 发现双方叙事存在显著差异且持续动态演化
  • 揭示叙事演化的内在驱动机制,适合舆情研究者参考

2022年2月俄罗斯全面入侵乌克兰后,线上亲俄与亲乌社群中涌现出大量信息叙事。随着冲突推进,这些叙事不断演变,持续影响本地与全球社区的认知与态度。这种信息环境的动态特性凸显了全面理解叙事演化及其对在线社群影响的迫切需求。然而,现有研究常忽视叙事的流动性及其内部演化机制。为此,本文提出一种新方法,旨在建模叙事演化并揭示其驱动力。研究对开战后前三个月内的Telegram社群进行比较话语分析:首先发现亲俄与亲乌社群在叙事和认知上存在显著差异;随后深入剖析各群体主流叙事,识别关键主题并考察其演化机制;最后探讨可能影响叙事发展与传播的因素。

原文摘要 · Abstract (English)

Following the Russian Federation's full-scale invasion of Ukraine in February 2022, a multitude of information narratives emerged within both pro-Russian and pro-Ukrainian communities online. As the conflict progresses, so too do the information narratives, constantly adapting and influencing local and global community perceptions and attitudes. This dynamic nature of the evolving information environment (IE) underscores a critical need to fully discern how narratives evolve and affect online communities. Existing research, however, often fails to capture information narrative evolution, overlooking both the fluid nature of narratives and the internal mechanisms that drive their evolution. Recognizing this, we introduce a novel approach designed to both model narrative evolution and uncover the underlying mechanisms driving them. In this work we perform a comparative discourse analysis across communities on Telegram covering the initial three months following the invasion. First, we uncover substantial disparities in narratives and perceptions between pro-Russian and pro-Ukrainian communities. Then, we probe deeper into prevalent narratives of each group, identifying key themes and examining the underlying mechanisms fueling their evolution. Finally, we explore influences and factors that may shape the development and spread of narratives.

信息叙事社交媒体舆情分析战争传播

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