Soft power in its current, widely understood form has become a straitjacket for those trying to understand power and communication in international affairs. Analyses of soft power overwhelmingly focus on soft power 'assets' or capabilities and how to wield them, not how influence does or does not take place. It has become a catch-all term that has lost explanatory power, just as hard power once did. The authors argue that the concept of strategic narrative gives us intellectual purchase on the complexities of international politics today, especially in regard to how influence works in a new media environment. They believe that the study of media and war would benefit from more attention being paid to strategic narratives.
Dual screening—the complex bundle of practices that involve integrating, and switching across and between, live broadcast media and social media—is now routine for many citizens during important political media events. But do these practices shape political engagement, and if so, why? We devised a unique research design combining a large‐scale Twitter dataset and a custom‐built panel survey focusing on the broadcast party leaders' debates held during the 2014 European Parliament elections in the United Kingdom. We find that relatively active, “lean‐forward” practices, such as commenting live on social media as the debate unfolded, and engaging with conversations via Twitter hashtags, have the strongest and most consistent positive associations with political engagement.
The use of social media for sharing political information and the status of news as an essential raw material for good citizenship are both generating increasing public concern. We add to the debates about misinformation, disinformation, and “fake news” using a new theoretical framework and a unique research design integrating survey data and analysis of observed news sharing behaviors on social media. Using a media-as-resources perspective, we theorize that there are elective affinities between tabloid news and misinformation and disinformation behaviors on social media. Integrating four data sets we constructed during the 2017 UK election campaign—individual-level data on news sharing (N = 1,525,748 tweets), website data (N = 17,989 web domains), news article data (N = 641 articles), and data from a custom survey of Twitter users (N = 1313 respondents)—we find that sharing tabloid news on social media is a significant predictor of democratically dysfunctional misinformation and disinformation behaviors. We explain the consequences of this finding for the civic culture of social media and the direction of future scholarship on fake news.
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