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This paper presents an overview of several research initiatives in the ARC Centre of Excellence for Automated Decision-Making and Society and QUT Digital Media Research Centre that examine the spread of information, misinformation, and disinformation across social media platforms especially in the context of the COVID-19 pandemic. Drawing on a variety of methods from large-scale analytics to detailed forensic analysis, we examine the differences in the dissemination dynamics of mainstream and fringe news content; trace the spread of conspiracy theories and other coronavirus misinformation to identify the key points of inflection and amplification; explore methods for the detection of coordinated inauthentic behaviour; and examine the impact of automated content moderation.
Axel Bruns. “Social Media and the News: Approaches to the Spread of (Mis)information. [16]” Paper presented as part of the workshop Integrity 2021: Integrity in Social Networks and Media, at the 14th ACM Conference on Web Search and Data Mining (WSDM) in Jerusalem, Israel, 12 Mar. 2021.
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[6] http://snurb.info/taxonomy/term/170
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[10] http://snurb.info/taxonomy/term/182
[11] http://snurb.info/taxonomy/term/184
[12] http://snurb.info/taxonomy/term/189
[13] https://sites.google.com/view/integrity-workshop-2021
[14] https://www.slideshare.net/Snurb/social-media-and-the-news-approaches-to-the-spread-of-misinformation
[15] https://www.slideshare.net/Snurb
[16] http://snurb.info/files/2021/Integrity2021.pdf