论文标题
印度和巴基斯坦社交媒体两极分化的计算分析
A Computational Analysis of Polarization on Indian and Pakistani Social Media
论文作者
论文摘要
在2019年2月14日至2019年3月4日之间，克什米尔发生了恐怖袭击，随后进行了报复性空袭，导致印度和巴基斯坦之间的紧张局势加剧，这是两个核武器国家。在这项工作中，我们在这些事件中检查了Twitter上的两极分化消息传递，尤其是专注于印度和巴基斯坦政客的立场。我们使用的标签传播技术着重于主题标签共发生，以找到两极分化的推文和用户。我们的分析表明，印度执政政党（BJP）的政客使用两极分化的主题标签，并要求冲突的升级比其他政党的政客更重要。我们的工作首次分析了印度与巴基斯坦之间如何在Twitter上表现出来的紧张局势，并为研究两极分化信息提供了一个框架。
Between February 14, 2019 and March 4, 2019, a terrorist attack in Pulwama, Kashmir followed by retaliatory airstrikes led to rising tensions between India and Pakistan, two nuclear-armed countries. In this work, we examine polarizing messaging on Twitter during these events, particularly focusing on the positions of Indian and Pakistani politicians. We use a label propagation technique focused on hashtag co-occurrences to find polarizing tweets and users. Our analysis reveals that politicians in the ruling political party in India (BJP) used polarized hashtags and called for escalation of conflict more so than politicians from other parties. Our work offers the first analysis of how escalating tensions between India and Pakistan manifest on Twitter and provides a framework for studying polarizing messages.
