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Observation on copying and pasting behavior during the Tohoku earthquake: Retweet pattern changes

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  • Kim, Taekyung

Abstract

Social media has become one of the primary sources for risk communication in a disaster. Especially, the behavior of copying and pasting messages generated by others is a primary method to redistribute information in this context. This paper examines the mediated messages that were generated after the outbreak of the Tohoku earthquake to investigate patterns of selecting received messages for redistribution. The results show that the frequency of mediated messages including external hyperlinks decreased after the disaster. In addition, the impact of a direct request to mediate a message was diminished. However, users became more sensitive to the fact whether the messages include the earthquake relevant keywords or not. This study contributes to the research stream on dynamic patterns of framing messages in that it supplies empirical evidences of pattern changes before and after the outbreak of a disaster.

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  • Kim, Taekyung, 2014. "Observation on copying and pasting behavior during the Tohoku earthquake: Retweet pattern changes," International Journal of Information Management, Elsevier, vol. 34(4), pages 546-555.
  • Handle: RePEc:eee:ininma:v:34:y:2014:i:4:p:546-555
    DOI: 10.1016/j.ijinfomgt.2014.03.001
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    References listed on IDEAS

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    Cited by:

    1. Li, Lifang & Zhang, Qingpeng & Tian, Jun & Wang, Haolin, 2018. "Characterizing information propagation patterns in emergencies: A case study with Yiliang Earthquake," International Journal of Information Management, Elsevier, vol. 38(1), pages 34-41.
    2. Son, Jaebong & Lee, Hyung Koo & Jin, Sung & Lee, Jintae, 2019. "Content features of tweets for effective communication during disasters: A media synchronicity theory perspective," International Journal of Information Management, Elsevier, vol. 45(C), pages 56-68.
    3. Aswani, Reema & Kar, Arpan Kumar & Ilavarasan, P. Vigneswara & Dwivedi, Yogesh K., 2018. "Search engine marketing is not all gold: Insights from Twitter and SEOClerks," International Journal of Information Management, Elsevier, vol. 38(1), pages 107-116.
    4. Martínez-Rojas, María & Pardo-Ferreira, María del Carmen & Rubio-Romero, Juan Carlos, 2018. "Twitter as a tool for the management and analysis of emergency situations: A systematic literature review," International Journal of Information Management, Elsevier, vol. 43(C), pages 196-208.

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