A Computational Analysis of Polarization on Indian and Pakistani Social Media

• URL: http://arxiv.org/abs/2005.09803v2
• Date: Wed, 29 Jul 2020 02:09:14 GMT
• Title: A Computational Analysis of Polarization on Indian and Pakistani Social Media
• Authors: Aman Tyagi, Anjalie Field, Priyank Lathwal, Yulia Tsvetkov, Kathleen M. Carley
• Abstract summary: We use a label propagation technique focused on hashtag co-occurrences to find polarizing tweets and users. 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.
• Score: 31.866069941558575
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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