Lee Hyegyu, Oh Hyun Jung
1 School of Management and Economics, Handong University , Pohang, South Korea .
2 Department of Health & Strategic Communication, CHA University, Pocheon, South Korea .
Cyberpsychol Behav Soc Netw. 2017 Mar;20(3):164-171. doi: 10.1089/cyber.2016.0447. Epub 2017 Feb 21.
This study aims to understand the impact of descriptive social norms on message believability and transmission and its underlying mechanism on Twitter. Using two types of information (i.e., news and rumor) presented as a tweet message, the influence of the number of retweets as a normative cue was tested. A result of an online experiment with 639 Twitter users suggests that regardless of the label of the information, message believability and intention to share were stronger for a tweet with a high number of retweets. The mediation test showed that the presumption that a message is believable to others mediates the relationship between a high number of retweets and message believability.
本研究旨在了解描述性社会规范对信息可信度和传播的影响及其在推特上的潜在机制。使用作为推文消息呈现的两种类型的信息（即新闻和谣言），测试了转发次数作为规范线索的影响。一项针对639名推特用户的在线实验结果表明，无论信息的标签如何，转发次数多的推文的信息可信度和分享意愿都更强。中介测试表明，认为一条信息对其他人可信的假设在大量转发和信息可信度之间起中介作用。
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