Twitter adoption and use in mass convergence and emergency events
By Amanda Lee Hughes, Leysia Palen. 2009
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Carlos Castillo
- Alexandra Olteanu
- Muhammad Imran
- Sarah Vieweg
- Aditi Gupta
- Kate Starbird
- Marcelo Mendoza
- Bárbara Poblete
Citations in the corpus
- Processing Social Media Messages in Mass Emergency (2014, background): “For example, in many disaster situations, people post situation-sensitive information on social media related to what they experience, witness, and/or hear from other sources [Hughes and Palen 2009].”
- SensePlace2: GeoTwitter analytics support for situational awareness (2011, background): “Twitter specifically has drawn considerable research attention as a tool to gather information, disseminate information, coordinate actions, and support SA [24-27].”
- "OMG, from here, I can see the flames!": a use case of mining location based social networks to acquire spatio-temporal data on forest fires (2009, background): “The first three are addressing hyperbole of recent newspaper articles, whereas H4 is one of the conclusion points of [9].”
- Learning Semantic Relationships between Entities in Twitter (2011, background): “People typically post short status messages, interesting information they read from daily news, updates on current hot topics, their views and opinions on a certain subject matter, developments in their profession, materials about their interests, et cetera [16,12,23].”
- Credibility ranking of tweets during high impact events (2012, background): “… of the Internet usage .rstly, the Internet is replacing traditional media like television and print media as a source for obtaining news and information about current events [16]; secondly, the Internet has provided a platform for common people to share information and express their opinions.”
- Towards more systematic Twitter analysis: metrics for tweeting activities (2013, unknown): “…Lotan, Ananny, Gaffney, & boyd, 2011; Small, 2011; Stieglitz & Dang-Xuan, 2012b), crisis communication (Bruns, Burgess, Crawford, & Shaw, 2012; Hughes & Palen, 2009; Mendoza, Poblete, & Castillo, 2010; Palen, Starbird, Vieweg, & Hughes, 2010), brand communication (Krüger, Stieglitz, &…”
- Twitter under crisis: can we trust what we RT? (2010, background): “Hughes and Palen have described the use of Twitter during emergencies such as hurricanes and mass convergence events such as political-party conventions [3].”
- Pandemics in the Age of Twitter: Content Analysis of Tweets during the 2009 H1N1 Outbreak (2010, result): “Our results correspond to a study of Twitter use during Hurricane Gustav and Ike, where roughly half of all hurricane-related tweets contained URLs (web-resources) [22].”
- The Revolutions Were Tweeted: Information Flows During the 2011 Tunisian and Egyptian Revolutions (2011, background): “…events, including serving as a backchannel to American TV political debates (Shamma, Kennedy, & Churchill, 2009), a site for coordination in emergency events (Hughes & Palen, 2009; Sutton, Palen, & Shklovski, 2008), and a space for making sense of emergent news events (Yardi & boyd, 2010).”
- Communicating on Twitter during a disaster: An analysis of tweets during Typhoon Haiyan in the Philippines (2015, background): “Other researchers suggest that adoption and continued use of social media after a disaster is considerable as individuals perceive social media as a way to help in the response and recovery efforts, and in rebuilding a sense of community (Hughes & Palen, 2009).”
- Chatter on the red: what hazards threat reveals about the social life of microblogged information (2010, background): “As one data point, about 70% of tweets sent in the August-September 2008 time frame were public [9].”
- Tampering with Twitter’s Sample API (2018, unknown): “geopolitical events [8] or security concerns [9].”
- Information diffusion in online social networks: a survey (2013, unknown): “presidential elections [23] for instance.”