Partisan selective exposure in online news consumption: evidence from the 2016 presidential campaign

Abstract:
Where do partisans get their election news in the contemporary media environment? We track the online news consumption of a national sample during the 2016 presidential campaign. We find levels of partisan isolation in news exposure are two to three times greater than in prior studies, although the absolute level of isolation remains modest. The partisan divide for election-related news exceeds the divide for non-political news. This tendency of partisans to follow like-minded news providers occurs despite the relatively small differences in the partisan slant of the content offered by the majority of sources they visited. Finally, we find that partisans who gravitated to congenial news providers did not shift their evaluations of the presidential candidates during the campaign. ∗The authors thank the Bill Lane Center for the American West, the Hoover Institution, and the Knight Foundation for their generous financial support without which this study would not have been possible. They also thank Matthew Gentzkow, Jens Hainmueller, and Jesse Shapiro for their comments. Fifty years ago, partisanship did not intrude into encounters with the news in the United States. During this era of weak polarization, the evening newscasts of ABC, CBS, and NBC attracted a combined audience that exceeded eighty million daily viewers (see Iyengar, 2018). These networks provided a largely non-partisan, point-counterpoint perspective. Since these newscasts were nearly identical, exposure to the world of public affairs was a uniform—and unifying—experience for voters of all political stripes. Forty years later, 24-hour cable news channels emerged as competitors to network news and provided partisans an opportunity to obtain news from like-minded sources (Fox News for Republicans, MSNBC for Democrats). The development of the Internet unleashed a wider range of media choices, which facilitated partisans’ ability to obtain information and commentary consistent with their leanings and also enabled the apolitical strata to tune out politics (Prior, 2007). In a break with the paradigm of non-partisan journalism, a growing number of outlets offered reporting with varying degrees of partisan commentary. The political blogosphere developed as a partisan platform, with little crossparty exposure (Adamic and Glance, 2005; Lawrence, Sides, and Farrell, 2010). The creation of vast online social networks permitted extensive recirculation of news reports, even to those not motivated to seek out news (Bakshy, Messing, and Adamic, 2015). The result of these changes is that, in contrast to the captive audience of the 1970’s, Americans in 2016 enjoyed significant control over their news consumption. Here we show the existence of a partisan divide in news consumption in this enhanced media environment. Our evidence derives from a two-wave panel survey administered before and after the 2016 election and merged with survey respondents’ web browsing behavior during the campaign. Our results indicate that partisans gravitated to news sources read disproportionately by their co-partisans. This tendency was more pronounced for political than non-political content, and partisan isolation peaked when coverage conveyed a clear partisan slant. While absolute levels of partisan isolation remain modest, the partisan divide in news consumption observed here substantially exceeds measures from earlier studies of online news over the past decade. Since our evidence suggests partisans engage in selective exposure, we also study its
Author Listing: Erik Peterson;Sharad Goel;Shanto Iyengar
Volume: None
Pages: 1-17
DOI: 10.1017/psrm.2019.55
Language: English
Journal: Political Science Research and Methods

Political Science Research and Methods

POLIT SCI RES METH

影响因子:2.6 是否综述期刊:否 是否OA:否 是否预警:不在预警名单内 发行时间:- ISSN:2049-8470 发刊频率:- 收录数据库:Scopus收录 出版国家/地区:- 出版社:Cambridge University Press

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国人发稿量 5
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100.00% 43.95% 0.00% 0.00%

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期刊预警不是论文评价,更不是否定预警期刊发表的每项成果。《国际期刊预警名单(试行)》旨在提醒科研人员审慎选择成果发表平台、提示出版机构强化期刊质量管理。

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具体而言,就是通过综合评判期刊载文量、作者国际化程度、拒稿率、论文处理费(APC)、期刊超越指数、自引率、撤稿信息等,找出那些具备风险特征、具有潜在质量问题的学术期刊。最后,依据各刊数据差异,将预警级别分为高、中、低三档,风险指数依次减弱。

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分区表升级版(试行)旨在解决期刊学科体系划分与学科发展以及融合趋势的不相容问题。由于学科交叉在当代科研活动的趋势愈发显著,学科体系构建容易引发争议。为了打破学科体系给期刊评价带来的桎梏,“升级版方案”首先构建了论文层级的主题体系,然后分别计算每篇论文在所属主题的影响力,最后汇总各期刊每篇论文分值,得到“期刊超越指数”,作为分区依据。

分区表升级版(试行)的优势:一是论文层级的主题体系既能体现学科交叉特点,又可以精准揭示期刊载文的多学科性;二是采用“期刊超越指数”替代影响因子指标,解决了影响因子数学性质缺陷对评价结果的干扰。整体而言,分区表升级版(试行)突破了期刊评价中学科体系构建、评价指标选择等瓶颈问题,能够更为全面地揭示学术期刊的影响力,为科研评价“去四唯”提供解决思路。相关研究成果经过国际同行的认可,已经发表在科学计量学领域国际重要期刊。

《2019年中国科学院文献情报中心期刊分区表升级版(试行)》首次将社会科学引文数据库(SSCI)期刊纳入到分区评估中。升级版分区表(试行)设置了包括自然科学和社会科学在内的18个大类学科。基础版和升级版(试行)将过渡共存三年时间,推测在此期间各大高校和科研院所仍可能会以基础版为考核参考标准。 提示:中科院分区官方微信公众号“fenqubiao”仅提供基础版数据查询,暂无升级版数据,请注意区分。

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