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In public debates, climate change communication tends to polarize into communities for and against the scientific basis of global warming. We analyze mention networks on Twitter around the publication of the Fifth Assessment Report (AR5) of the Inter-governmental Panel on Climate Change (IPCC) Working Group 2 and 3 reports that were published in March–April 2014. Building upon earlier research into climate skepticism and polarization of climate change debate, we focus on the relative prominence of different types of Twitter user accounts, in terms of engagement with other users and their alignments towards the scientific basis of climate change. We distinguish a "heart" actively discussing IPCC from a "shadow", which more anecdotally mentions IPCC and is likely to correspond to the remainder of a public space minimally interested in IPCC-related reports. We develop an original network analysis framework that enables us to analyze and deconstruct the inner structure of this heart's strongly intertwined engagement dynamics. Interesting observations relate to the position of critical users, who are in the minority, but are in relative terms most engaged with and most engaging with other users in this arena, while the media, casual users and governmental agencies occupy relatively less prominent positions. We further qualify the various structural positions by demonstrating that they correspond to different types of vocabulary specific to user types and positions. This socio-semantic approach may be generally helpful to disentangle semantic and structural polarization in online conversation spaces where opposing poles precisely appear to be mixing. • Users critical of anthropogenic climate change hold a prominent position on Twitter. • They dominate a heart of users discussing IPCC reports despite being in minority. • Their vocabulary distinctly relies on scientific rather than political terms. • Media, individuals and governmental organizations are less prominent in the debate. • The heart exhibits a socio-semantic hierarchy intertwining terms and positions. [ABSTRACT FROM AUTHOR]

Social media are increasingly important in the news menu of media users. Differences in news production processes between traditional and social media may lead to differences in how political and social issues are depicted, and this may, eventually, have consequences for the information that reaches citizens about an issue. Against this background, this study compares content across the two media types to examine whether and how the framing of a sociopolitical issue differs between newspaper articles and posts on social media. The empirical analyses are based on a content analysis of newspaper articles (n = 414) and social media messages (n = 2,771) conducted in the context of the socially contested issue of raising the retirement age in the Netherlands. Findings suggest that different content production processes can still lead to similar outcomes as both media types emphasize problems with (instead of solutions to) the retirement age issue. Our findings also confirm differences across traditional and social media, although these differences are substantially relatively small. While traditional news media emphasize conflict-related frames more often than social media, social media present more frame diversity in solutions. [ABSTRACT FROM AUTHOR]

Diversity of represented viewpoints in media content is a vital aspect of democratic societies. Building on insights about content diversity between topics, this study assesses frame and actor diversity within an issue and across media platforms. We conducted a manual quantitative content analysis of frames and actors in Dutch Twitter posts (N = 2,224) and newspaper articles (N = 318) about the banned pesticide fipronil, and we compared categorical and relative diversity of frames and actors between platforms. The results revealed an overall higher diversity for newspaper articles compared with tweets. Most strikingly, the diversity dynamics were quite similar in newspaper content and Twitter messages, but this similarity vanished once we distinguished between diagnostic and prognostic actor and frame diversity, with news articles showing a greater focus on solutions. The proposed diversity measures help discern temporal stages within issues and contribute to our understanding of intraissue dynamics across media platforms. [ABSTRACT FROM AUTHOR]

Social media platforms provide major opportunities for online activism and the emergence of digital counterpublics. Research on counterpublics has focused on actors and their narrative strategies aiming at deconstructing dominant discourses. Less attention has been paid to how the interplay between actors and platform-specific functions affects the configurations and therewith also the success of digital counterpublics. Existing studies mainly rely on determining up front which topics, actor characteristics, or arguments constitute hashtag activism and digital counterpublics. In contrast, our approach allows for an empirical identification based on how actors position themselves in an online debate toward other actors and their shared hashtags. We argue that online activism is co-constituted by actors and their usage of hashtags, actor mentions, and retweets. Applying a communicative network perspective allows for the integration of semantic and relational research traditions. We combine a recently developed automated network analysis method and content analysis to analyze two Twitter debates about animal welfare issues. Our results show that among Twitter users, citizens and environmental organizations formed a common cluster whereas media actors formed their own sub-clusters in both debates. The findings emphasize the central role of citizens for the configuration of digital counterpublics. The proposed approach can be further adapted and applied more widely for the analysis of online activism and debates. [ABSTRACT FROM AUTHOR]

Social media data provide increasing opportunities for the automated analysis of large sets of textual documents. So far, automated tools have been developed either to account for the social networks among participants in the debates, or to analyze the content of these debates. Less attention has been paid to mapping co‐occurrences of actors (participants) and topics (content) in online debates that can be considered as socio‐semantic networks. We propose a new, automated approach that uses the whole matrix of co‐addressed topics and actors for understanding and visualizing online debates. We show the advantages of the new approach with the analysis of two data sets: first, a large set of English‐language Twitter messages at the Rio + 20 meeting, in June 2012 (72,077 tweets), and second, a smaller data set of Dutch‐language Twitter messages on bird flu related to poultry farming in 2015–2017 (2,139 tweets). We discuss the theoretical, methodological, and substantive implications of our approach, also for the analysis of other social media data. [ABSTRACT FROM AUTHOR]

Recently, the field of strategic communication has been criticized for lacking a coherent theoretical synthesis. Recognizing that strategic communication is a sub-discipline of communication science, we study how the field is anchored in the corpus of established communication theories – including social science, interpretative, and critical approaches. To describe the use, development, and context of communication theories in strategic communication publications, we analyzed all articles published in ten public relations/ corporate communication/ organizational communication/ strategic communication journals over twenty years (N = 4,027). While the vast majority of articles did not refer to one of the 91 communication theories, the share of references to these theories has been increasing. Overall, we found a high diversity of approaches – with considerable differences among journals – indicating a broad discourse. However, we also found a growing relevance of the social science paradigm. We argue that a stronger focus on communication theories may facilitate a consilient synthesis and increase the relevance of the field, academically and practically. We therefore propose to strengthen the communication science perspective in strategic communication. [ABSTRACT FROM AUTHOR]

This study investigates intermedia agenda-setting dynamics between traditional news media and social media in a policy reform debate. Whereas the role of traditional news media in public debates is generally acknowledged, the growth of social media raises questions about its potential power to set the agenda. This study contributes to the intermedia agenda-setting literature by extending the theory to the social media context, aiming to unravel causal relationships between traditional and social media. We use an automated content analysis to examine traditional and social media coverage between 2009 and 2016 of the Dutch policy reform to raise the retirement age. Results of pooled fixed effects time series models show support for a mutual influence between the traditional and social media agendas. By looking at the effects per subissue, monthly level vector autoregression models provide more empirical support for the influence of traditional news media on social media than for the reverse. [ABSTRACT FROM AUTHOR]