2021
DOI: 10.1177/1461444820978640
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Junk news bubbles modelling the rise and fall of attention in online arenas

Abstract: In this article, we present a type of media disorder which we call ‘junk news bubbles’ and which derives from the effort invested by online platforms and their users to identify and circulate contents with rising popularity. Such emphasis on trending matters, we claim, can have two detrimental effects on public debates: first, it shortens the amount of time available to discuss each matter and second, it increases the ephemeral concentration of media attention. We provide a formal description of the dynamic of… Show more

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Cited by 8 publications
(2 citation statements)
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“…News cycles may last only a few days, viral stories may crop up and quickly recede, and online ‘outrage mobs’ may move from target to target to shame companies for their social and environmental failings (Lyon and Montgomery, 2013). As such, although public attention may come on intensely, it may nonetheless be unpredictable, myopic, or short‐lived (Castaldo et al, 2021). Against this backdrop, it is not surprising that a recent study found evidence that greater media coverage leads companies to prioritize short‐term results over investments in long‐term innovations (Dai et al, 2021).…”
Section: Discussionmentioning
confidence: 99%
“…News cycles may last only a few days, viral stories may crop up and quickly recede, and online ‘outrage mobs’ may move from target to target to shame companies for their social and environmental failings (Lyon and Montgomery, 2013). As such, although public attention may come on intensely, it may nonetheless be unpredictable, myopic, or short‐lived (Castaldo et al, 2021). Against this backdrop, it is not surprising that a recent study found evidence that greater media coverage leads companies to prioritize short‐term results over investments in long‐term innovations (Dai et al, 2021).…”
Section: Discussionmentioning
confidence: 99%
“…The question of how quickly information in media ecosystems rises and falls is the subject of much prior work (e.g., Wien and Elmelund-Praestekaer, 2009;Aldoory and Grunig, 2012;Castaldo et al, 2022). Time series analyses of political rumors, misinformation, memes, and search keywords have found that attention around a given construct displays distinct patterns, typically rising to a peak and falling very quickly thereafter (Leskovec et al, 2009;Shin et al, 2018).…”
Section: The Timeline Of Storm Developmentmentioning
confidence: 99%