What News Is Shared Where and How: A Multi-Platform Analysis of News Shared During the 2022 U.S. Midterm Elections

IF 5.5 1区文学 Q1 COMMUNICATION Social Media + Society Pub Date : 2024-04-18 DOI:10.1177/20563051241245950

Christine Sowa Lepird, Lynnette Hui Xian Ng, Anna Wu, Kathleen M. Carley

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Abstract

News journalism has evolved from traditional print media to social media, with a large proportion of readers consuming their news via digital means. Through an analysis of over 1.3 million posts across three social media platforms (Facebook, Twitter, Reddit) pertaining to the 2022 U.S. Midterm Elections, this analysis examines the difference in sharing patterns for four types of news sites—Real News, Local News, Low Credibility News, and Pink Slime. Through Platform-Based Analysis, this study observes that users across all platforms share Real and Local News sequentially, and Real News and Low Credibility News sequentially. Through News Type-Based Analysis, this study establishes a Relative Engagement metric, demonstrating a widely varied engagement among the news types. Real News receive the least engagement (defined as the ratio of number of likes a post has vs. the number of followers of the page), while users engage with Pink Slime news the most. Furthermore, this study finds that the sharing of automated local news reporting sites (Pink Slime sites) are divided on political lines. Finally, through a User-Based Analysis, this study finds that automated bot users share a larger proportion of Pink Slime and Low Credibility News, while human users generally share content relating to local communities.

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在哪里以及如何分享哪些新闻？2022 年美国中期选举期间新闻共享的多平台分析

新闻报道已从传统的印刷媒体发展到社交媒体，很大一部分读者通过数字手段获取新闻。通过分析三个社交媒体平台（Facebook、Twitter、Reddit）上与 2022 年美国中期选举相关的 130 多万条帖子，本分析研究了四类新闻网站--真实新闻、本地新闻、低可信度新闻和粉红黏液--在分享模式上的差异。通过基于平台的分析，本研究观察到所有平台的用户依次分享真实新闻和本地新闻，依次分享真实新闻和低可信度新闻。通过基于新闻类型的分析，本研究建立了一个 "相对参与度 "指标，表明不同新闻类型的参与度差异很大。真实新闻的参与度最低（定义为帖子的点赞数与页面的粉丝数之比），而粉红史莱姆新闻的参与度最高。此外，本研究还发现，自动本地新闻报道网站（粉红史莱姆网站）的分享也存在政治分歧。最后，通过基于用户的分析，本研究发现自动机器人用户分享粉红史莱姆和低可信度新闻的比例较大，而人类用户一般分享与本地社区相关的内容。

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来源期刊

Social Media + Society COMMUNICATION-

CiteScore

9.20

自引率

3.80%

发文量

111

审稿时长

12 weeks

期刊介绍： Social Media + Society is an open access, peer-reviewed scholarly journal that focuses on the socio-cultural, political, psychological, historical, economic, legal and policy dimensions of social media in societies past, contemporary and future. We publish interdisciplinary work that draws from the social sciences, humanities and computational social sciences, reaches out to the arts and natural sciences, and we endorse mixed methods and methodologies. The journal is open to a diversity of theoretic paradigms and methodologies. The editorial vision of Social Media + Society draws inspiration from research on social media to outline a field of study poised to reflexively grow as social technologies evolve. We foster the open access of sharing of research on the social properties of media, as they manifest themselves through the uses people make of networked platforms past and present, digital and non. The journal presents a collaborative, open, and shared space, dedicated exclusively to the study of social media and their implications for societies. It facilitates state-of-the-art research on cutting-edge trends and allows scholars to focus and track trends specific to this field of study.