IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-05293490.html
   My bibliography  Save this paper

Retransmitting Messages on Social Media in Disasters: Effects of Communication Tool Capabilities

Author

Listed:
  • F. Fang Liu
  • A. Andrew Burton-Jones
  • W. Wang

    (Audencia Business School)

  • D. Dongming Xu

Abstract

Retransmitted messages online can have profound effects on disaster response; however, existing literature provides an incomplete account of why messages are retransmitted on social media in disasters. In particular, there is a need to theorize the capabilities of the communication tools used for sending messages, because nowadays people can send messages online via different tools. This paper aims to theorize and explain how the capabilities of communication tools affect message retransmission by affecting the generation of message characteristics. To test our account, we collected and coded Twitter data from three disasters, and employed five logistic regressions to test our hypotheses. Our results confirm our expectations that compared to messages sent from desktops, messages sent from mobile devices are less likely to be helpful and verifiable, but are more likely to have visual attachments and expressions of anxiety.

Suggested Citation

  • F. Fang Liu & A. Andrew Burton-Jones & W. Wang & D. Dongming Xu, 2025. "Retransmitting Messages on Social Media in Disasters: Effects of Communication Tool Capabilities," Post-Print hal-05293490, HAL.
  • Handle: RePEc:hal:journl:hal-05293490
    DOI: 10.4018/JGIM.367967
    Note: View the original document on HAL open archive server: https://hal.science/hal-05293490v1
    as

    Download full text from publisher

    File URL: https://hal.science/hal-05293490v1/document
    Download Restriction: no

    File URL: https://libkey.io/10.4018/JGIM.367967?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Zhu, Dong Hong & Deng, Zhong Zhun & Chang, Ya Ping, 2020. "Understanding the influence of submission devices on online consumer reviews:A comparison between smartphones and PCs," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    2. Barbara H. Wixom & Peter A. Todd, 2005. "A Theoretical Integration of User Satisfaction and Technology Acceptance," Information Systems Research, INFORMS, vol. 16(1), pages 85-102, March.
    3. Jonah Berger & Raghuram Iyengar, 2013. "Communication Channels and Word of Mouth: How the Medium Shapes the Message," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 40(3), pages 567-579.
    4. Alan R. Dennis & Susan T. Kinney, 1998. "Testing Media Richness Theory in the New Media: The Effects of Cues, Feedback, and Task Equivocality," Information Systems Research, INFORMS, vol. 9(3), pages 256-274, September.
    5. Bevaola Kusumasari & Nias Phydra Aji Prabowo, 2020. "Scraping social media data for disaster communication: how the pattern of Twitter users affects disasters in Asia and the Pacific," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(3), pages 3415-3435, September.
    6. 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.
    7. Anjana Susarla & Jeong-Ha Oh & Yong Tan, 2012. "Social Networks and the Diffusion of User-Generated Content: Evidence from YouTube," Information Systems Research, INFORMS, vol. 23(1), pages 23-41, March.
    8. Brown, Jacqueline Johnson & Reingen, Peter H, 1987. "Social Ties and Word-of-Mouth Referral Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 14(3), pages 350-362, December.
    9. Zoey Chen & Jonah Berger, 2016. "How Content Acquisition Method Affects Word of Mouth," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 43(1), pages 86-102.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bartschat, Maria & Cziehso, Gerrit & Hennig-Thurau, Thorsten, 2022. "Searching for word of mouth in the digital age: Determinants of consumers’ uses of face-to-face information, internet opinion sites, and social media," Journal of Business Research, Elsevier, vol. 141(C), pages 393-409.
    2. Roma, Paolo & Aloini, Davide, 2019. "How does brand-related user-generated content differ across social media? Evidence reloaded," Journal of Business Research, Elsevier, vol. 96(C), pages 322-339.
    3. Irina Heimbach & Oliver Hinz, 2018. "The Impact of Sharing Mechanism Design on Content Sharing in Online Social Networks," Information Systems Research, INFORMS, vol. 29(3), pages 592-611, September.
    4. Ofir Turel & Catherine E. Connelly, 2012. "Team Spirit: The Influence of Psychological Collectivism on the Usage of E-Collaboration Tools," Group Decision and Negotiation, Springer, vol. 21(5), pages 703-725, September.
    5. Hu, Miao & Chen, Jie & Chen, Qimei & He, Wei, 2020. "It pays off to be authentic: An examination of direct versus indirect brand mentions on social media," Journal of Business Research, Elsevier, vol. 117(C), pages 19-28.
    6. Luo, Anita & Baker, Andrew & Donthu, Naveen, 2019. "Capturing dynamics in the value for brand recommendations from word-of-mouth conversations," Journal of Business Research, Elsevier, vol. 104(C), pages 247-260.
    7. Tingting Song & Qian Tang & Jinghua Huang, 2019. "Triadic Closure, Homophily, and Reciprocation: An Empirical Investigation of Social Ties Between Content Providers," Information Systems Research, INFORMS, vol. 30(3), pages 912-926, September.
    8. Bastos, Wilson & Moore, Sarah G., 2021. "Making word-of-mouth impactful: Why consumers react more to WOM about experiential than material purchases," Journal of Business Research, Elsevier, vol. 130(C), pages 110-123.
    9. Yoon, Hyun Shik & Occeña, Luis G., 2015. "Influencing factors of trust in consumer-to-consumer electronic commerce with gender and age," International Journal of Information Management, Elsevier, vol. 35(3), pages 352-363.
    10. Yazdani, Elham & Gopinath, Shyam & Carson, Stephen J., 2024. "The role of reviewer badges in the dynamics of online reviews," International Journal of Research in Marketing, Elsevier, vol. 41(3), pages 547-566.
    11. Ketelaar, Paul E. & Janssen, Loes & Vergeer, Maurice & van Reijmersdal, Eva A. & Crutzen, Rik & van ‘t Riet, Jonathan, 2016. "The success of viral ads: Social and attitudinal predictors of consumer pass-on behavior on social network sites," Journal of Business Research, Elsevier, vol. 69(7), pages 2603-2613.
    12. Ana Babić Rosario & Kristine Valck & Francesca Sotgiu, 2020. "Conceptualizing the electronic word-of-mouth process: What we know and need to know about eWOM creation, exposure, and evaluation," Journal of the Academy of Marketing Science, Springer, vol. 48(3), pages 422-448, May.
    13. Marchand, André & Hennig-Thurau, Thorsten & Wiertz, Caroline, 2017. "Not all digital word of mouth is created equal: Understanding the respective impact of consumer reviews and microblogs on new product success," International Journal of Research in Marketing, Elsevier, vol. 34(2), pages 336-354.
    14. Florian Probst & Laura Grosswiele & Regina Pfleger, 2013. "Who will lead and who will follow: Identifying Influential Users in Online Social Networks," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(3), pages 179-193, June.
    15. Kyungmin Park & Stephanie Lee & Shahryar Doosti & Yong Tan, 2023. "Provision of helpful review videos: Effects of video characteristics on perceived helpfulness," Production and Operations Management, Production and Operations Management Society, vol. 32(7), pages 2031-2048, July.
    16. Lili Wang & Hanyu (Yuki) Chen & Xuan Zhang, 2024. "Make a good impression: Recommend different products for self-presentation," Australian Journal of Management, Australian School of Business, vol. 49(4), pages 581-604, November.
    17. Yan Leng & Xiaowen Dong & Esteban Moro & Alex Pentland, 2024. "Long-Range Social Influence in Phone Communication Networks on Offline Adoption Decisions," Information Systems Research, INFORMS, vol. 35(1), pages 318-338, March.
    18. Xingyu Chen & Xing Li & Dai Yao & Zhimin Zhou, 2019. "Seeking the support of the silent majority: are lurking users valuable to UGC platforms?," Journal of the Academy of Marketing Science, Springer, vol. 47(6), pages 986-1004, November.
    19. Rishika Rishika & Jui Ramaprasad, 2019. "The Effects of Asymmetric Social Ties, Structural Embeddedness, and Tie Strength on Online Content Contribution Behavior," Management Science, INFORMS, vol. 65(7), pages 3398-3422, July.
    20. Muller, Eitan & Peres, Renana, 2019. "The effect of social networks structure on innovation performance: A review and directions for research," International Journal of Research in Marketing, Elsevier, vol. 36(1), pages 3-19.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-05293490. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.