54,714 research outputs found

    What is fake news?

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    Talk of fake news is rife in contemporary politics, but what is fake news, and how, if anything, does it differ from news which is fake? I argue that in order to make sense of the phenomenon of fake news, it is necessary to first define it and then show what does and does not fall under the rubric of ‘fake news’. I then go on to argue that fake news is not a new problem. Rather, if there is problem with fake news it is its centrality in contemporary public debate

    What is fake news?

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    Recently, the term «fake news» has become ubiquitous in political and public discourse and the media. Despite its omnipresence, however, it is anything but clear what fake news is. An adequate and comprehensive definition of fake news is called for. We take steps towards this goal by providing a systematic account of fake news that makes the phenomenon tangible, rehabilitates the use of the term, and helps us to set fake news apart from related phenomena. (You can email us for a penultimate draft of this paper.

    Reactive Public Relations Strategies for Managing Fake News in the Online Environment

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    The aim of this conceptual paper is to discuss the issue of managing fake news in the online environment, from an organizational perspective, by using reactive PR strategies. First, we critically discuss the most important definitions of the umbrella term fake news, in the so-called post-truth era, in order to emphasize different challenges in conceptualizing this elusive social phenomenon. Second, employing some valuable contribution from literature, we present and illustrate with vivid examples 10 categories of fake news. Each type of fake news is discussed in the context of organizational communication. Based on existent literature, we propose a 3D conceptual model of fake news, in an organizational context. Furthermore, we consider that PR managers can use either reactive PR strategies to counteract online fake news regarding an organization, or communication stratagems to temporarily transform the organization served into a potential source of fake news. The existing typology of reactive public relations strategies from the literature allow us to discuss the challenge of using them in counteracting online fake news. Each reactive PR strategy can be a potential solution to respond to different types of online fake news. Although these possibilities seem to be extensive, in some cases, PR managers can find them ineffective. In our view, this cluster of reactive PR strategies is not a panacea for managing fake news in the online environment and different strategic approaches may be need, such as communication stratagems. In this context, communication stratagems consist in using organization as a source or as a vector for strategic creation and dissemination of online fake news, for the benefit of the organization. We conclude that within online environment PR managers can employ a variety of reactive PR strategies to counteract fake news, or different communication stratagems to achieve organizational goals

    Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation

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    Consuming news from social media is becoming increasingly popular. However, social media also enables the widespread of fake news. Because of its detrimental effects brought by social media, fake news detection has attracted increasing attention. However, the performance of detecting fake news only from news content is generally limited as fake news pieces are written to mimic true news. In the real world, news pieces spread through propagation networks on social media. The news propagation networks usually involve multi-levels. In this paper, we study the challenging problem of investigating and exploiting news hierarchical propagation network on social media for fake news detection. In an attempt to understand the correlations between news propagation networks and fake news, first, we build a hierarchical propagation network from macro-level and micro-level of fake news and true news; second, we perform a comparative analysis of the propagation network features of linguistic, structural and temporal perspectives between fake and real news, which demonstrates the potential of utilizing these features to detect fake news; third, we show the effectiveness of these propagation network features for fake news detection. We further validate the effectiveness of these features from feature important analysis. Altogether, this work presents a data-driven view of hierarchical propagation network and fake news and paves the way towards a healthier online news ecosystem.Comment: 10 page
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