| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP17358 |
| DP17358 Social Media Influence Mainstream Media: Evidence from Two Billion Tweets | |
| Julia Cagé; Nicolas Hervé; Béatrice Mazoyer | |
| 发表日期 | 2022-06-05 |
| 出版年 | 2022 |
| 语种 | 英语 |
| 摘要 | Social media are increasingly influencing society and politics, despite the fact that legacy media remain the most consumed source of news. In this paper, we study the propagation of information from social media to mainstream media, and investigate whether news editors’ editorial decisions are influenced by the popularity of news stories on social media. To do so, we build a novel dataset including around 70% of all the tweets produced in French between August 2018 and July 2019 and the content published online by 200 mainstream media outlets. We then develop novel algorithms to identify and link events on social and mainstream media. To isolate the causal impact of popularity, we rely on the structure of the Twitter network and propose a new instrument based on the interaction between measures of user centrality and “social media news pressure” at the time of the event. We show that the social media popularity of a story increases the coverage of the same story by mainstream media. This effect varies depending on the media outlets’ characteristics, in particular on whether they use a paywall. Finally, we investigate consumers’ reaction to a surge in social media popularity. Our findings shed new light on news production decisions in the digital age and the welfare effects of social media. |
| 主题 | Organizational Economics ; Political Economy |
| 关键词 | Internet Information spreading News editors Network analysis Social media Twitter Text analysis |
| URL | https://cepr.org/publications/dp17358-0 |
| 来源智库 | Centre for Economic Policy Research (United Kingdom) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/546407 |
| 推荐引用方式 GB/T 7714 | Julia Cagé,Nicolas Hervé,Béatrice Mazoyer. DP17358 Social Media Influence Mainstream Media: Evidence from Two Billion Tweets. 2022. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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