Comments in online news could be the contemporary enactment of the eighteenth-century cafés that founded public sphere. This article assesses to what extent do these forms of digital discussion fit in Habermas’ principles for democratic debate, using his discursive ethics as a demanding normative benchmark. The sample of more than 15,000 comments was selected from the online versions of five national newspapers of record from different political and journalistic contexts: The Guardian (United Kingdom), Le Monde (France), The New York Times (United States), El País (Spain), and La Repubblica (Italy). The ethical guidelines and legal frameworks set up by the newspapers as well as their moderation strategies were considered to understand the different settings of the conversations. Two models of audience participation emerge from the analysis, one where communities of debate are formed based on mostly respectful discussions between diverse points of view and another of homogenous communities, in which expressing feelings about current events dominates the contributions and there is less of an argumentative debate.

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Research into current developments in newsrooms has paid a great deal of attention to convergence projects, focusing on emerging models of newswork and the attitudes of journalists towards change. This study proposes a longitudinal approach to the research of convergence, defined as a process where the outcomes are shaped by aspirations, power relationships and internal communications within a media corporation. The case of a European public broadcaster is evaluated through interviews performed over the span of five years. For the analysis of the discourses of journalists and managers, the article tries to build bridges between two traditions of innovation research: diffusion of innovations theory and actor-network theory. The proposed theoretical framework unveils the intricate and unpredictable nature of innovation processes in journalism. Results suggest that journalists’ evaluation of the relative advantage of convergence depends on their position in the network. In the case analysed, the complexity of groups within the media company, the historical distance between newsrooms, and power relationships complicated the compatibility of convergence with the organizational structure.

Social media has instituted new parameters for the political conversation in the digital public sphere. Previous research had identified several of these new phenomena: political polarisation, hate speech discourses, and fake news, among others. However, little attention has been paid to the users’ geographical location, specifically to the role location plays in political discussion on social media, and to its further implications in the digital public sphere. A priori, we might think that on the digital landscape geographical restrictions no longer condition political debate, allowing increasingly diverse users to participate in, and influence, the discussion. To analyse this, machine learning techniques were used to study Twitter’s political conversation about the negotiation process for the formation of the government in Spain that took place between 2015 and 2016. A big data sample of 127,3 million tweets associated with three Spanish cities (Madrid, Barcelona, and Valencia) was used. The results show that the geographical location of the users directly affects the political conversation on Twitter, despite the dissolution of the physical restrictions that the online environment favours. Demographics, cultural factors, and proximity to the centres of political power are factors conditioning the structure of digital political debate. These findings are a novel contribution to the design of more effective political campaigns and strategies, and provide a better understanding of the dynamics of the digital public sphere provided by Twitter.