{"title":"The Retransmission of Rumor-related Tweets: Characteristics of Source and Message","authors":"A. Chua, Cheng-Ying Tee, A. Pang, Ee-Peng Lim","doi":"10.1145/2930971.2930994","DOIUrl":null,"url":null,"abstract":"This paper investigates the characteristics of rumor-related tweets that would attract retransmission. Drawing on the uses and gratifications (U & G) and influential users' theories, it proposes a rumor retransmission model which comprises variables associated to the source and the message of the tweets. From a total of 5,885 rumor-related tweets about the death of the founding Prime Minister of Singapore Lee Kuan Yew collected, 800 original tweets without a \"RT\" prefix were selected for analysis. It was found that the experience and connectivity of the source are correlated to retransmission. The age of the account and number of followers have positive relationships with retransmission, while the number of tweets posted and number of friends have negative relationships. For characteristics of the message, attractiveness and expressions of sense of belonging are positively related to retransmission but the use of directed messages and medium-specific features, namely hashtags and URLs have negative relationships with retransmission. Messages with low level of emotions trigger more retweets than those without emotional expressions and those that are highly emotional. Results could suggest that in inauspicious contexts such as the rumored death of a political figure, Twitter users appear to favor less complex content and seem to be discerning and rational in making retransmission decisions.","PeriodicalId":227482,"journal":{"name":"Proceedings of the 7th 2016 International Conference on Social Media & Society","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 7th 2016 International Conference on Social Media & Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2930971.2930994","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15
Abstract
This paper investigates the characteristics of rumor-related tweets that would attract retransmission. Drawing on the uses and gratifications (U & G) and influential users' theories, it proposes a rumor retransmission model which comprises variables associated to the source and the message of the tweets. From a total of 5,885 rumor-related tweets about the death of the founding Prime Minister of Singapore Lee Kuan Yew collected, 800 original tweets without a "RT" prefix were selected for analysis. It was found that the experience and connectivity of the source are correlated to retransmission. The age of the account and number of followers have positive relationships with retransmission, while the number of tweets posted and number of friends have negative relationships. For characteristics of the message, attractiveness and expressions of sense of belonging are positively related to retransmission but the use of directed messages and medium-specific features, namely hashtags and URLs have negative relationships with retransmission. Messages with low level of emotions trigger more retweets than those without emotional expressions and those that are highly emotional. Results could suggest that in inauspicious contexts such as the rumored death of a political figure, Twitter users appear to favor less complex content and seem to be discerning and rational in making retransmission decisions.
本文研究了与谣言相关的推文吸引转发的特征。借鉴使用与满足理论(uses and gratifications, U & G)和有影响力的用户理论,提出了一个谣言转发模型,该模型包含与推文来源和消息相关的变量。从总共收集到的5885条关于新加坡开国总理李光耀去世的与谣言有关的推文中,选择了800条没有“RT”前缀的原创推文进行分析。研究发现,源的经验和连通性与重传有关。账号年龄和关注者数量与转发呈正相关关系,发文数和好友数与转发呈负相关关系。就信息的特征而言,吸引力和归属感的表达与转发呈正相关,而定向信息的使用和媒介特定特征,即标签和url与转发呈负相关。与没有情绪表达和高度情绪表达的信息相比,低情绪表达的信息会引发更多的转发。结果可能表明,在不吉利的情况下,比如一位政治人物去世的传闻,Twitter用户似乎更喜欢不那么复杂的内容,在做出转发决定时似乎更有洞察力和理性。