In the last 10 years, many canonical findings in the social sciences appear unreliable. This so-called “replication crisis” has spurred calls for open science practices, which aim to increase the reproducibility, replicability, and generalizability of findings. Communication research is subject to many of the same challenges that have caused low replicability in other fields. As a result, we propose an agenda for adopting open science practices in Communication, which includes the following seven suggestions: (1) publish materials, data, and code; (2) preregister studies and submit registered reports; (3) conduct replications; (4) collaborate; (5) foster open science skills; (6) implement Transparency and Openness Promotion Guidelines; and (7) incentivize open science practices. Although in our agenda we focus mostly on quantitative research, we also reflect on open science practices relevant to qualitative research. We conclude by discussing potential objections and concerns associated with open science practices.

Information systems such as social media strongly influence public opinion formation. Additionally, communication on the internet is shaped by individuals and organisations with various aims. This environment has given rise to phenomena such as manipulated content, fake news, and social bots. To examine the influence of manipulated opinions, we draw on the spiral of silence theory and complex adaptive systems. We translate empirical evidence of individual behaviour into an agent-based model and show that the model results in the emergence of a consensus on the collective level. In contrast to most previous approaches, this model explicitly represents interactions as a network. The most central actor in the network determines the final consensus 60-70% of the time. We then use the model to examine the influence of manipulative actors such as social bots on public opinion formation. The results indicate that, in a highly polarised setting, depending on their network position and the overall network density, bot participation by as little as 2-4% of a communication network can be sufficient to tip over the opinion climate in two out of three cases. These findings demonstrate a mechanism by which bots could shape the norms adopted by social media users.

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Social media's capacity for users to generate, comment on, and forward content (including mass media messages) to other users has created new forms of mass interpersonal communication. These systems render observable processes underlying the formation of opinion climates. Five attributes of contemporary electronic opinion environments can alter the way users gauge, form, and express opinions on topics of public interest: the juxtaposition of mass media and user‐generated content, ideological homogeneity and heterogeneity of online networks, technical ease with which to express opinions, the reach of messages, and networked audiences. These attributes facilitate analysis of theoretical and empirical works from different scholarly traditions, suggesting lines of inquiry that can enrich the analysis of (public) opinion formation via current communication technologies.

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This work proposes the expectation of sanctions as a promising construct to advance spiral of silence research in face-to-face and computer-mediated contexts. We argue that situational factors influence people's expectations about how their social environment would punish them should they express their viewpoint in a hostile opinion climate. These expected sanctions are suggested to explain the variance in people's willingness to express a minority opinion across different social situations. An experiment showed that the expectation of being personally attacked can explain why people are more willing to voice a deviant opinion in offline rather than online environments. Findings also revealed that in contemporary social networking websites, wherein users commonly face a personally relevant audience, people are prone to hold back their opinion as they expect losing control over the reactions of their audience. This research extends previous knowledge by presenting a more differentiated theoretical view of the fear of isolation and specifying its role in different situations of public deliberation.

Theoretical approaches as well as empirical results in the area of social capital accumulation on social networking sites suggest that weak ties/bridging versus strong ties/bonding social capital should be distinguished and that while bonding social capital is connected to emotional support, bridging social capital entails the provision of information. Additionally, recent studies imply the notion that weak ties/bridging social capital are gaining increasing importance in today's social media environments. By means of a survey (N = 317) we challenged these presuppositions by assessing the social support functions that are ascribed to three different types of contacts from participants' network (weak, medium, or strong tie). In contrast to theoretical assumptions, we do not find that weak ties are experienced to supply informational support whereas strong ties first and foremost provide emotional support. Instead we find that within social networking sites, strong ties are perceived to provide both emotional and informational support and weak ties are perceived as less important than recent literature assumes. OPEN ACCESSSocieties 2014, 4 786

Social networking sites offer various opportunities to express opinions on politics and public affairs and to disseminate information to a large circle of acquaintances. The present research aims to identify the characteristics of people who consider themselves as opinion leaders on these new channels, the features they use in order to influence others, and the psychological motives they pursue. A survey ( N = 527) among Facebook users identified political interest and personality strength as significant predictors of perceived Facebook opinion leadership, while the influence of extraversion was not significant. Those who write private messages on political debates do this in order to raise awareness of specific topics, while opinion expression in public status updates is also strongly connected to self-presentational goals (impression motivation). Moreover, the motives of presenting oneself positively and convincing others are particularly important for people with high personality strength. The present findings extend previous knowledge by redefining the concept of opinion leadership in new media environments and describing motivational links between individuals’ predispositions and their activities to influence others’ opinions. On a practical level, the pronounced role of self-presentational motives is likely to have important implications for the dynamics of public debates in social media.