Fake News

Kalsnes, Bente

doi:10.1093/acrefore/9780190228613.013.809

Cited by 68 publications

(43 citation statements)

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“…'Attention hacking' and media manipulation. On the one hand, digital platforms permit highly energized and sustained groups to sculpt public sentiment by maximizing the visibility of 'information pollution' and 'fake news' -arresting, sensational and morally tinged content designed to distort and agitate (Kalsnes, 2018). Whether by steering communications, creating fake accounts, or exploiting digital interactions, techniques of 'attention hacking' can strategically influence engagement patterns and produce wildly disproportionate effects (Marwick and Lewis, 2017).…”

Section: Architectures Of Amplificationmentioning

confidence: 99%

Social media and moral panics: Assessing the effects of technological change on societal reaction

Walsh

2020

International Journal of Cultural Studies

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Answering calls for deeper consideration of the relationship between moral panics and emergent media systems, this exploratory article assesses the effects of social media – web-based venues that enable and encourage the production and exchange of user-generated content. Contra claims of their empowering and deflationary consequences, it finds that, on balance, recent technological transformations unleash and intensify collective alarm. Whether generating fear about social change, sharpening social distance, or offering new opportunities for vilifying outsiders, distorting communications, manipulating public opinion, and mobilizing embittered individuals, digital platforms and communications constitute significant targets, facilitators, and instruments of panic production. The conceptual implications of these findings are considered.

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Section: Architectures Of Amplificationmentioning

confidence: 99%

Social media and moral panics: Assessing the effects of technological change on societal reaction

Walsh

2020

International Journal of Cultural Studies

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“…Scientists must not remain bystanders in the battle against fakery in news generally as well as in their own domains of expertise. They can contribute to understanding the phenomenon of fake news, which has typically been studied along four lines: characterization, creation, circulation and countering [36]. Multidisciplinary effort is needed to understand better how the Internet spreads content and how readers process the news and information they consume, as well as how social media platforms are manipulated to amplify particular stories through the use of fake accounts and ‘bots’ [37–40].…”

Section: Ways Forwardmentioning

confidence: 99%

Fake science and the knowledge crisis: ignorance can be fatal

et al. 2019

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Computers, the Internet and social media enable every individual to be a publisher, communicating true or false information instantly and globally. In the ‘post-truth’ era, deception is commonplace at all levels of contemporary life. Fakery affects science and social information and the two have become highly interactive globally, undermining trust in science and the capacity of individuals and society to make evidence-informed choices, including on life-or-death issues. Ironically, drivers of fake science are embedded in the current science publishing system intended to disseminate evidenced knowledge, in which the intersection of science advancement and reputational and financial rewards for scientists and publishers incentivize gaming and, in the extreme, creation and promotion of falsified results. In the battle for truth, individual scientists, professional associations, academic institutions and funding bodies must act to put their own house in order by promoting ethics and integrity and de-incentivizing the production and publishing of false data and results. They must speak out against false information and fake science in circulation and forcefully contradict public figures who promote it. They must contribute to research that helps understand and counter false information, to education that builds knowledge and skills in assessing information and to strengthening science literacy in society.

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“…In literature, researchers focused on four topics regarding fake news: characterization (i.e., types of fake news), motivation, circulation, and countermeasures [21,52]. A large body of work has been done on fake news identification [3,36,40,49] by exploiting multiple content-related and social-related components.…”

Section: Introductionmentioning

confidence: 99%

Attributed Multi-Relational Attention Network for Fact-checking URL Recommendation

You

Lee

et al. 2019

Proceedings of the 28th ACM International Conference on Information and Knowledge Management

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To combat fake news, researchers mostly focused on detecting fake news and journalists built and maintained fact-checking sites (e.g., Snopes.com and Politifact.com). However, fake news dissemination has been greatly promoted via social media sites, and these fact-checking sites have not been fully utilized. To overcome these problems and complement existing methods against fake news, in this paper we propose a deep-learning based fact-checking URL recommender system to mitigate impact of fake news in social media sites such as Twitter and Facebook. In particular, our proposed framework consists of a multi-relational attentive module and a heterogeneous graph attention network to learn complex/semantic relationship between user-URL pairs, user-user pairs, and URL-URL pairs. Extensive experiments on a real-world dataset show that our proposed framework outperforms eight state-of-the-art recommendation models, achieving at least 3∼5.3% improvement.

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Fake News

Cited by 68 publications

References 0 publications

Social media and moral panics: Assessing the effects of technological change on societal reaction

Social media and moral panics: Assessing the effects of technological change on societal reaction

Fake science and the knowledge crisis: ignorance can be fatal

Attributed Multi-Relational Attention Network for Fact-checking URL Recommendation

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