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When do Crowds Turn Violent? Uncovering Triggers from Media

Yue Ning, Sathappan Muthiah, Naren Ramakrishnan, David Mares

Abstract

Mass gatherings often underlie civil disobedience activities and as such run the risk of turning violent, causing damage to both property and people. While civil unrest is a rather common phenomenon, only a small subset of them involve crowds turning violent. How can we distinguish which events are likely to lead to violence? Using articles gathered from thousands of online news sources, we study a two-level multi-instance learning formulation, CrowdForecaster, tailored to forecast violent crowd behavior, specifically violent protests. Using data from five countries in Latin America, we demonstrate not just the predictive utility of our approach, but also its effectiveness in discovering triggering factors, especially in uncovering how and when crowd behavior begets violence.

Publication Details

Date of publication: October 24, 2018

Conference: IEEE Advances in Social Network Analysis and Mining

Page number(s): 77-82

Volume:

Issue Number:

Publication Note: Yue Ning, Sathappan Muthiah, Naren Ramakrishnan, Huzefa Rangwala, David Mares: When do Crowds Turn Violent? Uncovering Triggers from Media. ASONAM 2018: 77-82