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Measuring Proximity Between Newspapers and Political Parties: The Sentiment Political Compass 衡量报纸与政党之间的接近度:情感政治指南针
IF 4.9 1区 文学 Q1 Social Sciences Pub Date : 2020-09-01 DOI: 10.1002/poi3.222
Fabian Falck, J. Marstaller, Niklas Stoehr, Sören Maucher, J. Ren, A. Thalhammer, Achim Rettinger, R. Studer
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引用次数: 18
Battle for Britain: Analyzing Events as Drivers of Political Tribalism in Twitter Discussions of Brexit 为英国而战:分析推特上关于英国退欧的讨论中政治部落主义的驱动因素
IF 4.9 1区 文学 Q1 Social Sciences Pub Date : 2020-08-12 DOI: 10.1002/poi3.247
Samantha North, L. Piwek, A. Joinson
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引用次数: 7
What Drives U.S. Congressional Members’ Policy Attention on Twitter? 是什么促使美国国会议员在推特上关注政策?
IF 4.9 1区 文学 Q1 Social Sciences Pub Date : 2020-06-28 DOI: 10.1002/poi3.245
Libby Hemphill, A. Russell, Angela M. Schöpke-Gonzalez
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引用次数: 25
Regulating the European Data‐Driven Economy: A Case Study on the General Data Protection Regulation 监管欧洲数据驱动型经济:通用数据保护条例的案例研究
IF 4.9 1区 文学 Q1 Social Sciences Pub Date : 2020-06-25 DOI: 10.1002/poi3.246
Moritz Laurer, Timo Seidl
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引用次数: 9
Taming the Internet Trolls With an Internet Ombudsperson: Ethical Social Media Regulation 用网络监察员驯服网络巨魔:道德的社交媒体监管
IF 4.9 1区 文学 Q1 Social Sciences Pub Date : 2020-06-01 DOI: 10.1002/poi3.227
E. Daskal, R. Wentrup, Dan Shefet
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引用次数: 8
Cleaning Up Social Media: The Effect of Warning Labels on Likelihood of Sharing False News on Facebook 清理社交媒体:警告标签对Facebook上分享虚假新闻可能性的影响
IF 4.9 1区 文学 Q1 Social Sciences Pub Date : 2020-06-01 DOI: 10.1002/POI3.214
P. Mena
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引用次数: 124
Issue Information 问题信息
IF 4.9 1区 文学 Q1 Social Sciences Pub Date : 2020-06-01 DOI: 10.1002/poi3.206
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引用次数: 0
How Online Content Providers Moderate User‐Generated Content to Prevent Harmful Online Communication: An Analysis of Policies and Their Implementation 在线内容提供商如何调节用户生成的内容以防止有害的在线传播:政策及其实施分析
IF 4.9 1区 文学 Q1 Social Sciences Pub Date : 2020-06-01 DOI: 10.1002/poi3.239
Sabine A. Einwiller, Sora Kim
© 2020 The Authors. Policy & Internet published by Wiley Periodicals, Inc. on behalf of Policy Studies Organization This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. How Online Content Providers Moderate User‐Generated Content to Prevent Harmful Online Communication: An Analysis of Policies and Their Implementation
©2020作者。股份有限公司代表政策研究组织出版的政策与互联网这是一篇根据知识共享署名-非商业许可条款的开放获取文章,该许可条款允许在任何媒体上使用、分发和复制,前提是原始作品被适当引用且未用于商业目的。在线内容提供商如何调节用户生成的内容以防止有害的在线通信:政策及其实施分析
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引用次数: 21
Social Media, Web, and Panel Surveys: Using Non‐Probability Samples in Social and Policy Research 社会媒体、网络和小组调查:在社会和政策研究中使用非概率样本
IF 4.9 1区 文学 Q1 Social Sciences Pub Date : 2020-04-29 DOI: 10.1002/poi3.238
V. Lehdonvirta, Atte Oksanen, P. Räsänen, Grant Blank
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引用次数: 141
The Social Network: How Friends’ Online Behavior and Belongingness Needs Influence Political Activity 社交网络:朋友的在线行为和归属需求如何影响政治活动
IF 4.9 1区 文学 Q1 Social Sciences Pub Date : 2020-04-29 DOI: 10.1002/poi3.240
H. Bäck, Emma A. Renström, David Sivén
Are people more likely to become more politically active through social media when they observe that their friends are active? Previous research has shown that an individual's likelihood of engaging politically is influenced by observations of how friends act through social media, but relatively little is known about how such social influence through social media interacts with personality features. We argue that individuals with high belongingness needs will engage in political activity if they believe that this is expected from the social groups they belong to. To evaluate this hypothesis, a survey experiment was designed (n = 289) in Qualtrics. We had two experimental conditions (friends or extended network) in which we informed participants that the most shared or “liked” online material among their friends or extended network on Facebook was a specific petition. In a control condition, they were informed that they were shown a random petition. To increase the credibility of the manipulation, we asked participants to log into a fictive app that supposedly downloaded their Facebook data. We show that individuals are more likely to engage politically if they observe that their friends have been politically active on Facebook, but only if they have high belongingness needs. (Less)
当人们观察到他们的朋友很活跃时,他们是否更有可能通过社交媒体变得更积极地参与政治?先前的研究表明,观察朋友在社交媒体上的行为会影响一个人参与政治的可能性,但对于社交媒体上的这种社会影响是如何与个性特征相互作用的,人们知之甚少。我们认为,如果具有高归属感需求的个人认为这是他们所属的社会群体所期望的,他们就会参与政治活动。为了评估这一假设,我们在《质量学》中设计了一个调查实验(n = 289)。我们有两种实验条件(朋友或扩展网络),我们告诉参与者,他们在Facebook上的朋友或扩展网络中分享最多或“喜欢”最多的在线材料是一份特定的请愿书。在对照条件下,他们被告知他们看到了一份随机的请愿书。为了增加操纵的可信度,我们要求参与者登录一个虚构的应用程序,据称该应用程序下载了他们的Facebook数据。我们表明,如果个人观察到他们的朋友在Facebook上政治活跃,他们更有可能参与政治,但前提是他们有高度的归属感需求。(少)
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引用次数: 7
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Policy and Internet
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