(How) will the revolution be retweeted?: information diffusion and the 2011 Egyptian uprising

By Kate Starbird, Leysia Palen. Conference on Computer Supported Cooperative Work, 2012

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Addressing Age-Related Bias in Sentiment Analysis (2018, background): “Using computational techniques to study social movements and the emergence of non-dominant narratives situated within particular cultures is becoming common (e.g., [67,72]).”
On Predicting Deletions of Microblog Posts (2015, background): “The abundance of public content that is available from some services, perhaps most notably Twitter, has inspired a wide range of applications such as characterizing user demographics [7], predicting future events [2] and explaining sociopolitical interactions [10].”
Epidemiological modeling of news and rumors on Twitter (2013, background): “[18] discuss, retweets reveal how information propagates through a social network: the ‘deeper’ a retweet, the more relevant”
Rumor Cascades (2014, background): “In the absence of reliable ofﬁcial or established sources, individuals can use these networks to share important information quickly and coordinate action (Starbird and Palen 2012).”