Panem et circenses:删除政治新闻以获得选举支持,来自贝卢斯科尼意大利的证据

Andrea De Angelis, Alessandro Vecchiato
{"title":"Panem et circenses:删除政治新闻以获得选举支持,来自贝卢斯科尼意大利的证据","authors":"Andrea De Angelis, Alessandro Vecchiato","doi":"10.1017/ipo.2023.32","DOIUrl":null,"url":null,"abstract":"\n This paper examines the strategic use of public news media – specifically television (TV) – as an instrument of political influence, focusing on Italy's 2011 financial crisis under Berlusconi's premiership. Using an original large corpus of over 20,000 hours of televised news transcripts and a quasi-experimental design, we investigate how political influence altered media coverage and, subsequently, public opinion and electoral outcomes. Our difference-in-differences analysis, complemented by unsupervised text scaling of news content, reveals a significant shift from “hard” political news to “soft” news on public TV during Berlusconi's tenure. Findings suggest a deliberate reduction in hard news coverage by an average of 107 seconds daily, which significantly increased voter support for Berlusconi's party. In the conclusions, we discuss the broader implications of our findings for media independence in Western democracies amid the emergence of artificial intelligence-generated news contents and the prevalence of algorithmically tailored news feeds.","PeriodicalId":507659,"journal":{"name":"Italian Political Science Review/Rivista Italiana di Scienza Politica","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Panem et circenses: removing political news to generate electoral support, evidence from Berlusconi's Italy\",\"authors\":\"Andrea De Angelis, Alessandro Vecchiato\",\"doi\":\"10.1017/ipo.2023.32\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n This paper examines the strategic use of public news media – specifically television (TV) – as an instrument of political influence, focusing on Italy's 2011 financial crisis under Berlusconi's premiership. Using an original large corpus of over 20,000 hours of televised news transcripts and a quasi-experimental design, we investigate how political influence altered media coverage and, subsequently, public opinion and electoral outcomes. Our difference-in-differences analysis, complemented by unsupervised text scaling of news content, reveals a significant shift from “hard” political news to “soft” news on public TV during Berlusconi's tenure. Findings suggest a deliberate reduction in hard news coverage by an average of 107 seconds daily, which significantly increased voter support for Berlusconi's party. In the conclusions, we discuss the broader implications of our findings for media independence in Western democracies amid the emergence of artificial intelligence-generated news contents and the prevalence of algorithmically tailored news feeds.\",\"PeriodicalId\":507659,\"journal\":{\"name\":\"Italian Political Science Review/Rivista Italiana di Scienza Politica\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Italian Political Science Review/Rivista Italiana di Scienza Politica\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1017/ipo.2023.32\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Italian Political Science Review/Rivista Italiana di Scienza Politica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1017/ipo.2023.32","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文以贝卢斯科尼担任总理期间的意大利 2011 年金融危机为研究对象,探讨了公共新闻媒体(尤其是电视)作为政治影响力工具的战略用途。我们利用由超过 20,000 小时的电视新闻记录组成的大型原始语料库和准实验设计,研究了政治影响如何改变媒体报道,进而改变公众舆论和选举结果。我们的差异分析辅以对新闻内容的无监督文本缩放,揭示了在贝卢斯科尼任期内,公共电视台的 "硬 "政治新闻向 "软 "新闻的显著转变。研究结果表明,硬新闻报道平均每天减少 107 秒,这大大增加了贝卢斯科尼政党的选民支持率。在结论中,我们讨论了在人工智能生成新闻内容和算法定制新闻源盛行的背景下,我们的发现对西方民主国家媒体独立性的广泛影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Panem et circenses: removing political news to generate electoral support, evidence from Berlusconi's Italy
This paper examines the strategic use of public news media – specifically television (TV) – as an instrument of political influence, focusing on Italy's 2011 financial crisis under Berlusconi's premiership. Using an original large corpus of over 20,000 hours of televised news transcripts and a quasi-experimental design, we investigate how political influence altered media coverage and, subsequently, public opinion and electoral outcomes. Our difference-in-differences analysis, complemented by unsupervised text scaling of news content, reveals a significant shift from “hard” political news to “soft” news on public TV during Berlusconi's tenure. Findings suggest a deliberate reduction in hard news coverage by an average of 107 seconds daily, which significantly increased voter support for Berlusconi's party. In the conclusions, we discuss the broader implications of our findings for media independence in Western democracies amid the emergence of artificial intelligence-generated news contents and the prevalence of algorithmically tailored news feeds.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信