Information sharing on Twitter during the 2011 catastrophic earthquake

Toriumi, Fujio; Sakaki, Takeshi; Shinoda, Kosuke; Kazama, Kazuhiro; Kurihara, Satoshi; Noda, Itsuki

doi:10.1145/2487788.2488110

Cited by 63 publications

(26 citation statements)

References 7 publications

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“…Moreover, citizens actively participated in blogs and on Facebook, Twitter, and YouTube, exchanging views and directing others to important news articles or videos. Based on network analysis of over 300 million tweets after the 2011 Japan earthquake, Toriumi et al [60] found an abrupt increase in degree distribution of information by Twitter directly after the earthquake. Moreover, based on media system dependency theory, Jung [61] surveyed Japanese university students after the Fukushima accident.…”

Section: Resultsmentioning

confidence: 99%

Impact of the Fukushima Nuclear Accident on Belief in Rumors: The Role of Risk Perception and Communication

Kim

2017

Sustainability

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Rumors about nuclear power energy and its risks in terms of technology are common. However, these rumors are sometimes exaggerated and not true. Our research question is what factors and variables have influence the rumors related to the Fukushima nuclear accident. We analyzed data collected through social survey (n = 1572). To measure the dependent variable, we asked respondents whether rumors related to the Fukushima nuclear accident were true or false, and the degree to which they trusted such rumors. We measured three factors in determining belief in rumors: psychometric paradigm, communication, and risk perception. We then analyzed the direct impact of these three factors on belief in rumors and the indirect moderating effect of perceived risk of the Fukushima nuclear accident on the relationship between psychometric factors and belief in rumors. Results show that in the communication factors, source credibility decreases belief in rumors whereas usefulness of information and receiver's ability increase it. All the psychometric variables have significant impacts on belief in rumors. Perceived benefit, trust, and knowledge decrease belief in rumors, and perceived risk and stigma increase it. Finally, the perceived risk of Fukushima accident plays a role of moderators between psychometric paradigm and belief in rumors.

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Section: Resultsmentioning

confidence: 99%

Impact of the Fukushima Nuclear Accident on Belief in Rumors: The Role of Risk Perception and Communication

Kim

2017

Sustainability

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“…The practice of re-tweeting means that one specific topic can quickly propagate and become more relevant in the Twittersphere, as the more one tweet is shared, the more the importance of the tweet grows inside the user-community. Re-tweeting is also a key method by which mass media information is relayed [33]. Therefore the amount of re-tweets was of interest in gauging the strength of perceptions as being beyond a single user.…”

Section: Materials and Analysismentioning

confidence: 99%

Public perceptions of building seismic safety following the Canterbury earthquakes: A qualitative analysis using Twitter and focus groups

Mora

Chang

Beatson

et al. 2015

International Journal of Disaster Risk Reduction

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“…Twitter as a means for sharing information has been widely studied from a diverge point of view; for example, for sharing health-related information [1,2], its use in catastrophic disasters [3], and its roles in social unrest [4], among others. Its use as a probe of activities in an urban context has been discussed, e.g.…”

Section: Related Workmentioning

confidence: 99%

Topic Identification and Categorization of Public Information in Community-Based Social Media

Kusumawardani

Basri

2017

J. Phys.: Conf. Ser.

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Abstract. This paper presents a work on a semi-supervised method for topic identification and classification of short texts in the social media, and its application on tweets containing dialogues in a large community of dwellers in a city, written mostly in Indonesian. These dialogues comprise a wealth of information about the city, shared in real-time. We found that despite the high irregularity of the language used, and the scarcity of suitable linguistic resources, a meaningful identification of topics could be performed by clustering the tweets using the K-Means algorithm. The resulting clusters are found to be robust enough to be the basis of a classification. On three grouping schemes derived from the clusters, we get accuracy of 95.52%, 95.51%, and 96.7 using linear SVMs, reflecting the applicability of applying this method for generating topic identification and classification on such data.

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Information sharing on Twitter during the 2011 catastrophic earthquake

Cited by 63 publications

References 7 publications

Impact of the Fukushima Nuclear Accident on Belief in Rumors: The Role of Risk Perception and Communication

Impact of the Fukushima Nuclear Accident on Belief in Rumors: The Role of Risk Perception and Communication

Public perceptions of building seismic safety following the Canterbury earthquakes: A qualitative analysis using Twitter and focus groups

Topic Identification and Categorization of Public Information in Community-Based Social Media

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