Microblogging after a major disaster in China: a case study of the 2010 Yushu earthquake
By Yanchun Qu, Chen Huang, Pengyi Zhang, Jun Zhang. Conference on Computer Supported Cooperative Work, 2011
444 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Communication, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/4383eb72f2e52025860fe5c068080579e9d347fa
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Carlos Castillo
- Alexandra Olteanu
- Sarah Vieweg
- Yoav Artzi
- Zachary C. Steinert-Threlkeld
- Fernando Diaz
- Leysia Palen
- Patrick Pantel
In Communication
- Carlos Castillo
- Alexandra Olteanu
- Fernando Diaz
- Sarah Vieweg
- Kate Starbird
- Leysia Palen
- Zachary C. Steinert-Threlkeld
- Bruno Takahashi
In Statistical and Nonlinear Physics
- Carlos Castillo
- Alexandra Olteanu
- Fernando Diaz
- Sarah Vieweg
- Kate Starbird
- Leysia Palen
- Zachary C. Steinert-Threlkeld
- Patrick Pantel
Citations in the corpus
- (How) will the revolution be retweeted?: information diffusion and the 2011 Egyptian uprising (2012, methodology): “Research indicates that Twitter has been employed to seek information [27], solicit donations [18], organize volunteers [22], publicize the names of missing persons [11], and broadcast immediate needs [18], among other uses.”
- Communicating on Twitter during a disaster: An analysis of tweets during Typhoon Haiyan in the Philippines (2015, background): “Recent crisis communication scholarship (e.g. Sellnow & Seeger, 2013) does not fully incorporate social media in theoretical propositions.”
- Twitter as Data (2018, background): “Like with Twitter, many studies focus on event analysis (Qu et al., 2011; Guan et al., 2014), its use during crisis events (Guan et al.”
- Rumors, False Flags, and Digital Vigilantes: Misinformation on Twitter after the 2013 Boston Marathon Bombing (2014, background): “Researchers in the emerging field of crisis informatics have identified 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 r”
- CrisisLex: A Lexicon for Collecting and Filtering Microblogged Communications in Crises (2014, background): “During crises, numerous disaster-related messages are posted to microblogging sites, which has led to research on understanding social media use in disasters (Starbird and Palen 2010; Qu et al. 2011), and extracting useful information (Imran et al.”
- Predicting Responses to Microblog Posts (2012, background): “Popescu and Pen-nacchiotti (2011) and Qu et al. (2011) investigated how users react to events on social media.”
- Comparison and Modelling of Country-level Microblog User and Activity in Cyber-physical-social Systems Using Weibo and Twitter Data (2019, background): “Similarly, some studies [23, 24] have investigated utilisation of microblogging user dataset for earthquake detection.”
- What to Expect When the Unexpected Happens: Social Media Communications Across Crises (2015, background): “, wildfires [50], drug wars [29], floods [6, 45], earthquake [39], nuclear power plant [46], to name a few).”