Wording Matters: the Effect of Linguistic Characteristics and Political Ideology on Resharing of COVID-19 Vaccine Tweets

IF 4.8 2区 计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS ACM Transactions on Computer-Human Interaction Pub Date : 2024-01-30 DOI:10.1145/3637876
Judith Borghouts, Yicong Huang, Suellen Hopfer, Chen Li, Gloria Mark
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Abstract

Social media platforms are frequently used to share information and opinions around vaccinations. The more often a message is reshared, the wider the reach of the message and potential influence it may have on shaping people’s opinions to get vaccinated or not. We used a negative binomial regression to investigate whether a message’s linguistic characteristics (degree of concreteness, emotional arousal, and sentiment) and user characteristics (political ideology and number of followers) may influence users’ decisions to reshare tweets related to the COVID-19 vaccine. We analyzed US English-language tweets related to the COVID-19 vaccine between May 2020 and October 2021 (N = 236,054).

Tweets with positive and high-arousal words were more often retweeted than negative, low-arousal tweets. Tweets with abstract words were more often retweeted than tweets with concrete words. In addition, while Liberal users were more likely to have tweets with a positive sentiment reshared, Conservative users were more likely to have tweets with a negative sentiment reshared. Our results can inform public health messaging on how to best phrase vaccine information to impact engagement and information resharing, and potentially persuade a wider set of people to get vaccinated.

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措辞很重要:语言特点和政治意识形态对转发 COVID-19 疫苗推文的影响
社交媒体平台经常被用来分享有关疫苗接种的信息和观点。一条信息被转发的次数越多,信息的传播范围就越广,对人们是否接种疫苗的意见形成的潜在影响也就越大。我们使用负二项回归法来研究信息的语言特点(具体程度、情绪唤醒和情感)和用户特征(政治意识形态和粉丝数量)是否会影响用户转发 COVID-19 疫苗相关推文的决定。我们分析了 2020 年 5 月至 2021 年 10 月期间与 COVID-19 疫苗相关的美国英语推文(N = 236,054 条)。与负面、低关注度的推文相比,正面、高关注度的推文更常被转发。使用抽象词语的推文比使用具体词语的推文更常被转发。此外,自由派用户更有可能转发带有积极情绪的推文,而保守派用户则更有可能转发带有消极情绪的推文。我们的研究结果可以为公共卫生信息提供参考,帮助人们了解如何以最佳方式措辞疫苗信息,从而影响参与度和信息转发,并有可能说服更多的人接种疫苗。
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来源期刊
ACM Transactions on Computer-Human Interaction
ACM Transactions on Computer-Human Interaction 工程技术-计算机:控制论
CiteScore
8.50
自引率
5.40%
发文量
94
审稿时长
>12 weeks
期刊介绍: This ACM Transaction seeks to be the premier archival journal in the multidisciplinary field of human-computer interaction. Since its first issue in March 1994, it has presented work of the highest scientific quality that contributes to the practice in the present and future. The primary emphasis is on results of broad application, but the journal considers original work focused on specific domains, on special requirements, on ethical issues -- the full range of design, development, and use of interactive systems.
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