Analyzing Civil Unrest through Social Media

Ting Hua · Chang‐Tien Lu · Naren Ramakrishnan · Feng Chen · Jaime Arredondo · David R. Mares +1 more

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Social Media and Politics Sentiment Analysis and Opinion Mining Computational and Text Analysis Methods

Abstract

Mining and analyzing data from social networks such as Twitter can reveal new insights into the causes of civil disturbances, including trigger events and the role of political entrepreneurs and organizations in galvanizing public opinion.

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2014Characterizing and selecting fresh data sources 2016Competitive intelligence in social media Twitter: iPhone 6 vs. Galaxy S5 2015Event Prediction With Learning Algorithms—A Study of Events Surrounding the Egyptian Revolution of 2011 on the Basis of Micro Blog Data 2021Future Protest Made Risky: Examining Social Media Based Civil Unrest Prediction Research and Products 2015Pricing a Protest: Forecasting the Dynamics of Civil Unrest Activity in Social Media 2016Investigating the Potential of Aggregated Tweets as Surrogate Data for Forecasting Civil Protests 2019Calls to Action on Social Media: Detection, Social Impact, and Censorship Potential

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