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UID:pretalx-2022-9UXLDA@conferences.acspri.org.au
DTSTART;TZID=AEST:20221123T174000
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DESCRIPTION:Social media have become an integral part of the public sphere.
  It is important to understand how social media are facilitating or impedi
 ng political deliberation\, a process whereby individuals with differing p
 erspectives and opinions engage in discussion\, potentially revising their
  opinions upon hearing the arguments of others. This presentation outlines
  new research into political deliberation on Twitter. We used a set of deb
 ate- and election-related hashtags to first undertake a large-scale collec
 tion of tweets authored during the first 2020 US presidential debate. We t
 hen used the v2 Twitter API (accessed via the voson.tcn R package) to coll
 ect the wider Twitter conversations that these tweets were part of\, so ou
 r final dataset also included debate-related tweets that did not feature t
 he target hashtags. The data collection resulted in a dataset of over 11K 
 conversations (with each conversation represented as a tree network with a
  “conversation starter” tweet as the root node and all the subsequent re
 plies and replies-to-replies). We then implemented an approach for constru
 cting random samples of root-to-leaf interaction sequences extracted from 
 these conversations\, with the samples being used for subsequent qualitati
 ve coding of discussion dynamics. This presentation provides an overview o
 f the conversation data collection and sampling approach and then outlines
  some preliminary findings regarding the deliberative nature of Twitter ac
 tivity during the first debate\, constructing a measure of deliberation in
 volving the depth and breadth of conversation tree networks.\n\nRecording 
 link: https://acspri-org-au.zoom.us/rec/share/jG2oPYAxGbCXdVm76fy6IhAi4brx
 wMoxOeP2QCK3nrPdeQ5j9wU0fMRuutuGsktE.GGS6vN76zGxbrfPv?startTime=1669184529
 000
DTSTAMP:20260912T194900Z
LOCATION:Zoom Breakout Room 3
SUMMARY:Characterising Political Discussion Networks on Twitter - Robert Ac
 kland
URL:https://conferences.acspri.org.au/2022/talk/9UXLDA/
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