"Voluntweeters": self-organizing by digital volunteers in times of crisis

By Kate Starbird, Leysia Palen. International Conference on Human Factors in Computing Systems, 2011

640 citations recorded by the source corpus.

Subfields: Communication, Information Systems and Management, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/9dfdd7edf5c7f898286ef76096c542a0ce00ee30

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Citations in the corpus

Twitter earthquake detection: earthquake monitoring in a social world (2012, background): “While the syntax has not been widely adopted by the content originators, volunteer efforts have arisen after disasters to translate tweets into this more actionable form [Starbird and Palen 2011].”
We know what @you #tag: does the dual role affect hashtag adoption? (2012, background): “Beyond a bookmark of content, a hashtag serves as the symbol of a community [34, 11, 12, 28].”
Rumors, False Flags, and Digital Vigilantes: Misinformation on Twitter after the 2013 Boston Marathon Bombing (2014, background): “…different public uses of social media during crises: to share information (e.g. Palen & Liu, 2007; Palen et al., 2010; Qu et al., 2011), to participate in collaborative sense-making (Heverin & Zach, 2012), and to contribute to response efforts through digital volunteerism (Starbird & Palen, 2011).”
CrisisLex: A Lexicon for Collecting and Filtering Microblogged Communications in Crises (2014, methodology): “In crisis, hashtags are often adopted by an information propagation process (Starbird and Palen 2011), but in some cases, they are suggested ∗Work done at the Qatar Computing Research Institute.”
“Participant” Perceptions of Twitter Research Ethics (2018, neutral): “…tracking (Lamb, Paul, & Dredze, 2013; Signorini, Segre, & Polgreen, 2011), disaster events (Kogan, Palen, & Anderson, 2016; Sakaki, Okazaki, & Matsuo, 2010; Starbird & Palen, 2011), and stock market and election prediction (Bollen, Mao, & Zeng, 2011; Tumasjan, Sprenger, Sandner, & Welpe, 2010).”
What to Expect When the Unexpected Happens: Social Media Communications Across Crises (2015, methodology): “This methodology is based on previous work that categorizes tweets by type (including [2, 7, 24, 34, 50]) or by source (including [12, 14, 27, 29, 30, 44]).”
Competing or aiming to be average?: normification as a means of engaging digital volunteers (2014, background): “Three of the papers [16, 33, 45] discuss how crowdsourcing environments result in the emergence of new social norms.”