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

Two weeks after the Great Tohoku earthquake followed by the devastating tsunami, we have sent open-ended questionnaires to a randomly selected sample of Twitter users and also analysed the tweets sent from the disaster-hit areas. We found that people in directly affected areas tend to tweet about their unsafe and uncertain situation while people in remote areas post messages to let their followers know that they are safe. Our analysis of the open-ended answers has revealed that unreliable retweets (RTs) on Twitter was the biggest problem the users have faced during the disaster. Some of the solutions offered by the respondents included introducing official hash tags, limiting the number of RTs for each hash tag and adding features that allow users to trace information by maintaining anonymity.

[1]  B. Berg Qualitative Research Methods for the Social Sciences , 1989 .

[2]  Kate Ehrlich,et al.  Microblogging Inside and Outside the Workplace , 2010, ICWSM.

[3]  Suku Sinnappan,et al.  Priceless Tweets! A Study on Twitter Messages Posted During Crisis: Black Saturday , 2010, ICIS 2010.

[4]  Haewoon Kwak,et al.  Finding influentials based on the temporal order of information adoption in twitter , 2010, WWW '10.

[5]  Timothy W. Finin,et al.  Why we twitter: understanding microblogging usage and communities , 2007, WebKDD/SNA-KDD '07.

[6]  Yutaka Matsuo,et al.  Earthquake shakes Twitter users: real-time event detection by social sensors , 2010, WWW '10.

[7]  Leysia Palen,et al.  Microblogging during two natural hazards events: what twitter may contribute to situational awareness , 2010, CHI.

[8]  Martha Palmer,et al.  Twitter in mass emergency: what NLP techniques can contribute , 2010, HLT-NAACL 2010.

[9]  J. Morse Qualitative data analysis (2nd ed): Mathew B. Miles and A. Michael Huberman. Thousand Oaks, CA: Sage Publications, 1994. Price: $65.00 hardback, $32.00 paperback. 238 pp , 1996 .

[10]  Bernard J. Jansen,et al.  Twitter power: Tweets as electronic word of mouth , 2009, J. Assoc. Inf. Sci. Technol..

[11]  Bernard J. Jansen,et al.  Twitter power: Tweets as electronic word of mouth , 2009 .

[12]  Alexander Richter,et al.  Tweet Inside: Microblogging in a Corporate Context , 2010, Bled eConference.

[13]  Michel Avital,et al.  Generative Collectives , 2010, ICIS.

[14]  Mor Naaman,et al.  Is it really about me?: message content in social awareness streams , 2010, CSCW '10.

[15]  Chen Huang,et al.  Microblogging after a major disaster in China: a case study of the 2010 Yushu earthquake , 2011, CSCW.

[16]  Ruimin Shen,et al.  Microblogging for Language Learning: Using Twitter to Train Communicative and Cultural Competence , 2009, ICWL.

[17]  Barbara Poblete,et al.  Twitter under crisis: can we trust what we RT? , 2010, SOMA '10.

[18]  Fang Wu,et al.  Social Networks that Matter: Twitter Under the Microscope , 2008, First Monday.

[19]  Raleigh North Haewoon, Kwak, Changhyun, Lee, Park, Hosung, and Moon, Sue. . What is Twitter, a Social Network or a News Media?. 19th International World Wide Web (WWW) Conference.April. , 2010 .

[20]  Lisl Zach,et al.  Microblogging for crisis communication: Examination of twitter use in response to a 2009 violent crisis in the Seattle-Tacoma, Washington area , 2010, ISCRAM.

[21]  Isabell M. Welpe,et al.  Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment , 2010, ICWSM.

[22]  Mario Cataldi,et al.  Emerging topic detection on Twitter based on temporal and social terms evaluation , 2010, MDMKDD '10.

[23]  Bernardo A. Huberman,et al.  Predicting the Future with Social Media , 2010, Web Intelligence.