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Controversial information spreads faster and further than non-controversial information in Reddit

Jasser Jasser (), Ivan Garibay, Steve Scheinert and Alexander V. Mantzaris
Additional contact information
Jasser Jasser: University of Central Florida
Steve Scheinert: LLC
Alexander V. Mantzaris: University of Central Florida

Journal of Computational Social Science, 2022, vol. 5, issue 1, No 6, 122 pages

Abstract: Abstract Online users discuss and converse about all sorts of topics on social networks. Facebook, Twitter, Reddit are among many other networks where users can have this freedom of information sharing. The abundance of information shared over these networks makes them an attractive area for investigating all aspects of human behavior on information dissemination. Among the many interesting behaviors, controversiality within social cascades is of high interest to us. It is known that controversiality is bound to happen within online discussions. The online social network platform Reddit has the feature to tag comments as controversial if the users have mixed opinions about that comment. The difference between this study and previous attempts at understanding controversiality on social networks is that we do not investigate topics that are known to be controversial. On the contrary, we examine typical cascades with comments that the readers deemed to be controversial concerning the matter discussed. This work asks whether controversially initiated information cascades have distinctive characteristics than those not controversial in Reddit. We used data collected from Reddit consisting of around 17 million posts and their corresponding comments related to cybersecurity issues to answer these emerging questions. From the comparative analyses conducted, controversial content travels faster and further from its origin. Understanding this phenomenon would shed light on how users or organization might use it to their help in controlling and spreading a specific beneficiary message.

Keywords: Controversiality; Information; Diffusion; Reddit; Polarization (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s42001-021-00121-z

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