IS Atlas
isr·2022년 1월 31일

Seems Legit: An Investigation of the Assessing and Sharing of Unverifiable Messages on Online Social Networks

Jackie London, Siyuan Li, Heshan Sun

Information Systems Research

23
피인용
7.5
FWCI
3
IS/마케팅/OM 탑저널 피인용
109
IS/마케팅/OM 탑저널 참고문헌
01Abstract

Unverifiable messages abound on the Internet. As policymakers and social media platforms grapple with the spread of misleading, false, or otherwise harmful messages, it is important they better understand why users share messages they cannot verify. This article reports on two studies that shed light on such issues. In the first study, the authors leverage secondary data collected from Twitter to show that true and false unverifiable messages have different characteristics and that those characteristics are predictive of retweeting. In the second study, they conduct a controlled experiment to explain why such characteristics influence resharing. Jointly, these studies show that leaks (i.e., true-but-unverifiable) tend to be more plausible, more vivid, and are sent by more credible senders than rumors (i.e., false-but-unverifiable). Further, the relationships among these variables is multiplicative such that the effects of vividness and sender credibility are strengthened for plausible and weakened for implausible messages. Finally, message recipients use these characteristics to determine whether an unverifiable message is novel and/or helpful. In sum, the authors find that social media users are likely to reshare unverifiable messages when they exhibit characteristics of plausibility, vividness, and sender credibility, which signal the novelty of helpfulness of the message.

02연구 흐름

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03비슷한 논문

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04이후 연구

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05선행 연구

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06서지 정보