Twitter for crisis communication: lessons learned from Japan's tsunami disaster

By Adam Acar, Y. Muraki. Int. J. Web Based Communities, 2011

403 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

What to Expect When the Unexpected Happens: Social Media Communications Across Crises (2015, methodology): “concerns and condolences [2]; gratitude, prayers [34]; emotion-related [39]; support [22]; thanks and gratitude, support [6, 40];”
Processing Social Media Messages in Mass Emergency (2014, background): “…Jokes jokes, trolling [Metaxas and Mustafaraj 2013] By information provided Caution and advice caution & advice [Imran et al. 2013b]; warnings [Acar and Muraki 2011]; hazard, preparation [Olteanu et al. 2014]; tips [Leavitt and Clark 2014]; advice [Bruns et al. 2012]; status, protocol [Hughes…”
Communicating on Twitter during a disaster: An analysis of tweets during Typhoon Haiyan in the Philippines (2015, background): “An important body of research in information and computational sciences has explored this area (e.g. Acar & Muraki, 2011; Beneito-Montagut et al., 2013; De Choudhury & Counts, 2012; Kongthon, Haruechaiyasak, Pailai, & Kongyoung, 2012; Liu, Palen, Sutton, Hughes, & Vieweg, 2008; Miyabe, Miura, &…”
Applications of artificial intelligence for disaster management (2020, background): “However, there are concerns of using social media data as information sources due to issues of credibility, reliability, and difficulties in verifying information and processing big data into actionable knowledge (Acar and Muraki 2011; MacEachren et al.”