Focussing in detail on one key component of the infodemic surrounding COVID-19, this article traces the dissemination dynamics of rumours that the pandemic outbreak was somehow related to the rollout of 5G mobile telephony technology in Wuhan and around the world. Drawing on a mixture of quantitative and qualitative methods including time-series analysis, network analysis and in-depth close reading, our analysis shows the dissemination of the rumour on Facebook from its obscure origins in pre-existing conspiracist groups through greater uptake in more diverse communities to substantial amplification by celebrities, sports stars and media outlets. The in-depth tracing of COVID-related mis- and disinformation across social networks offers important new insights into the dynamics of online information dissemination and points to opportunities to slow and stop the spread of false information, or at least to combat it more directly with accurate counterinformation.

There is a growing concern around the dependency of news organisations on platforms like Facebook for audience traffic. However, scholars are still working out the extent of this dependency and how it manifests in practice. In this article, we draw on interviews with Australian news professionals and industry fieldwork to provide a nuanced account of this phenomenon. We find that news media organisations have recently started to diversify their distribution strategies and the business models associated with them in response to Facebook’s algorithm changes. While Facebook remains important, we suggest that greater attention needs to be paid to the complex relationships that news organisations have with platforms. This article ends by considering the implications of these findings for international policy discussions centred around the prospect of platform regulation.

Social media platforms and news organisations alike are struggling with identifying and combating visual mis/disinformation presented to their audiences. Such processes are complicated due to the enormous number of media items being produced, how quickly media items spread, and the often-subtle or sometimes invisible-to-the-naked-eye nature of deceptive edits. Despite knowing little about the provenance and veracity of the visual content they encounter, journalists have to quickly determine whether to re-publish or amplify this content, with few tools and little time available to assist them in such an evaluation. With the goal of equipping journalists with the mechanisms, skills, and knowledge to be effective gatekeepers and stewards of the public trust, this study reviews current journalistic image verification practices, examines a number of existing and emerging image verification technologies that could be deployed or adapted to aid in this endeavour, and identifies the strengths and limitations of the most promising extant technical approaches. While oriented towards practical and achievable steps in combating visual mis/disinformation, the study also contributes to discussions on fact-checking, sourcechecking, verification, debunking and journalism training and education.

In this article, we examine two interrelated hashtag campaigns that formed in response to the Victorian State Government’s handling of Australia’s most significant COVID-19 second wave of mid-to-late 2020. Through a mixed-methods approach that includes descriptive statistical analysis, qualitative content analysis, network analysis, computational sentiment analysis and social bot detection, we reveal how a small number of hyper-partisan pro- and anti-government campaigners were able to mobilise ad hoc communities on Twitter, and – in the case of the anti-government hashtag campaign – co-opt journalists and politicians through a multi-step flow process to amplify their message. Our comprehensive analysis of Twitter data from these campaigns offers insights into the evolution of political hashtag campaigns, how actors involved in these specific campaigns were able to exploit specific dynamics of Twitter and the broader media and political establishment to progress their hyper-partisan agendas, and the utility of mixed-method approaches in helping render the dynamics of such campaigns visible.

This article describes the emerging genre of ‘social news’ – characterised by a ‘born-digital’ form of journalism which is both symptomatic of and a pragmatic response to the logics of social media. The article outlines the genre’s key formal characteristics, illustrating them through discussions of three key Australia-based publications – BuzzFeed Oz News, Junkee, and Pedestrian.tv. The analysis of these examples indicates that social news departs from traditional journalistic norms around objectivity, instead exhibiting a strong and explicit positionality, and actively critiquing ideas like ‘balance’. The article argues that social news demonstrates the progressive potential of new forms of journalism that have emerged from the same technological and economic developments that have caused the crisis in the news business. It concludes with a more elaborated description of the social news genre, with suggestions for further research.