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Megan MacDuffee Metzger

Researcher at New York University

Publications -  6
Citations -  291

Megan MacDuffee Metzger is an academic researcher from New York University. The author has contributed to research in topics: Social media & Politics. The author has an hindex of 5, co-authored 6 publications receiving 197 citations. Previous affiliations of Megan MacDuffee Metzger include University of Wisconsin-Madison.

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Journal ArticleDOI

How social media facilitates political protest: information, motivation and social networks

TL;DR: In this paper, the authors summarize evidence from studies of protest movements in the United States, Spain, Turkey, and Ukraine demonstrating that social media platforms facilitate the exchange of information that is vital to the coordination of protest activities, such as news about transportation, turnout, police presence, violence, medical services, and legal support.
Book ChapterDOI

Big data, social media, and protest: Foundations for a research agenda

TL;DR: The use of social media has been linked to the spread of political protests in cities around the world, including Moscow, Kiev, Istanbul, Ankara, Cairo, Tripoli, Athens, Madrid, New York, and Los Angeles.
Journal ArticleDOI

Tweeting identity? Ukrainian, Russian, and #Euromaidan

TL;DR: In this article, the authors examine events in Ukraine from late 2013 through the end of 2014 to see if particular moments of heightened political tension led to increased identification as either "Russian" or "Ukrainian" among Ukrainian citizens.
Journal ArticleDOI

Social media and EuroMaidan: A review essay

TL;DR: Nayem's Facebook post would have a much larger impact on subsequent political developments than most that had preceded it as discussed by the authors, leading to the resignation of the government, the exile of the former president, and indirectly to the secession of Crimea and the ongoing conflict in the eastern part of the country.
Journal ArticleDOI

Digital Dissent: An Analysis of the Motivational Contents of Tweets From an Occupy Wall Street Demonstration.

TL;DR: This paper used manual and machine learning methods to analyze the contents of 23,810 tweets sent on the day of the May Day 2012 Occupy Wall Street demonstration along with an additional 664,937 tweets (sent by 8,244 unique users) during the 2-week lead-up to the demonstration.