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UID:pretalx-2026-PTVEKB@conferences.acspri.org.au
DTSTART;TZID=AEST:20261126T113000
DTEND;TZID=AEST:20261126T114500
DESCRIPTION:Social media is now pervasive in modern society\, and is used n
 ot only for entertainment purposes\, but has become a central environment 
 for political and social discourse. Understanding\, and being able to meas
 ure and identify\, when online conversations are productive and contribute
  positively to public discourse\, is increasingly important in order to li
 mit toxic and hostile behaviour in a partisan society.    \n\nWe propose a
  novel multi-layer network model to study deliberation in online discussio
 n platforms. The model comprises two layers: a discussion layer\, which re
 presents as a hierarchical tree the comment-to-comment replies within a gi
 ven post\, and an actor layer\, which represents the actor-to-actor reply 
 interactions. The interlayer links represent user-comment ownership. We us
 e this network model to extend Gonzalez-Bailon et al. (2010)’s foundatio
 nal work on using network analysis to measure argumentation and representa
 tion in discussion\, by proposing two network metrics to measure the poten
 tial for deliberation in discussion threads. We also propose a new approac
 h for identifying the boundaries that determine whether a given post is id
 entified as deliberative\, and for comparing the level of deliberation of 
 collections of posts. \n\nWe apply our new approach to a large Reddit data
 set containing over 200\,000 posts from 72 subreddits focused on different
  topics and demonstrate that our new metrics have construct validity in th
 at observed differences in measured deliberation across categories of subr
 eddits can be explained by the topics and purpose of the subreddits. While
  we find that some political subreddits exhibit high levels of deliberatio
 n thus indicating that online political talk can meet the prerequisites fo
 r deliberation\, the level of deliberation in regional and sports subreddi
 ts was even higher. Analysis of the actor layer shows correlations between
  the deliberation measured on the discussion layer\, and classical network
  metrics of the actor layer including degree distribution\, assortativity\
 , and the global clustering coefficient. These correlations reveal importa
 nt insights into how the aggregate behaviour of users is related to delibe
 ration.\n\nFinally\, we discuss planned future work\, including refinement
  of the metrics by incorporating comment engagement data (such as upvotes)
  and use of Natural Language Processing methods to identify linguistic mar
 kers for deliberative conversations. Ultimately\, we hope to identify meth
 ods that can be implemented to help promote deliberative conversations in 
 online platforms.
DTSTAMP:20261013T070032Z
LOCATION:MacCallum Room
SUMMARY:Multi-layer network analysis of deliberation in an online discussio
 n platform: the case of Reddit - Ben Ye
URL:https://conferences.acspri.org.au/2026/talk/PTVEKB/
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