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UID:pretalx-2024-AYTRWR@conferences.acspri.org.au
DTSTART;TZID=AEST:20241127T133000
DTEND;TZID=AEST:20241127T170000
DESCRIPTION:This workshop will introduce participants to open source R pack
 ages for online network collection and analysis\, developed by the Virtual
  Observatory for the Study of Online Networks (VOSON) Lab (http://vosonlab
 .net) at the Australian National University. The workshop will include an 
 introduction to (depending on workshop participant interest and available 
 API access):\n\n- vosonSML (https://github.com/vosonlab/vosonSML) - an R p
 ackage providing a suite of tools for collecting and constructing networks
  from social media data. It provides easy-to-use functions for collecting 
 data across popular platforms (Twitter\, Reddit\, YouTube\, WWW hyperlinks
 \, Mastodon) and generating different types of networks for analysis.\n- V
 OSON Dashboard (https://github.com/vosonlab/VOSONDash) - an R/Shiny applic
 ation providing a graphical user interface for collecting and analysing on
 line networks and associated text data. It builds on a number of R package
 s\, in particular igraph (for network analysis) and vosonSML.\n\nParticipa
 nts will be shown how to install these packages and their basic operation.
  Workshop materials will include R scripts\, package documentation\, notes
  on analysis of online networks\, and examples of research.
DTSTAMP:20260912T210709Z
LOCATION:Drawing Room
SUMMARY:Collecting and Analysing Online Networks with VOSON R tools - Rober
 t Ackland
URL:https://conferences.acspri.org.au/2024/talk/AYTRWR/
END:VEVENT
BEGIN:VEVENT
UID:pretalx-2024-D7BSGH@conferences.acspri.org.au
DTSTART;TZID=AEST:20241129T090000
DTEND;TZID=AEST:20241129T091500
DESCRIPTION:Social media platforms such as Twitter/X and Reddit are increas
 ingly important for political communication: opinion leaders and influence
 rs use social media for one-to-many communication\, but these spaces also 
 enable ordinary citizens to form opinions by engaging in one-to-one discus
 sion about social and political issues. It is important to understand how 
 social media are facilitating or impeding political deliberation\, a proce
 ss whereby individuals with differing perspectives and opinions engage in 
 discussion\, potentially revising their opinions upon hearing the argument
 s of others. \n\nIn this presentation\, I outline research into political 
 deliberation on Twitter\, conducted as part of the Volkswagen Foundation-f
 unded “Bots Building Bridges (3B)” project. We first used a set of debat
 e- and election-related hashtags to undertake a collection of tweets autho
 red during the first 2020 US presidential debate. We then used the v2 Twit
 ter API to collect the wider Twitter conversations that these tweets were 
 part of\, so our final dataset also included debate-related tweets that di
 d not feature the target hashtags. The resulting dataset consists of over 
 13K reply tree network with a “conversation starter” tweet as the root n
 ode and all the subsequent replies and replies-to-replies. \n\nI then pres
 ent some preliminary findings regarding the deliberative nature of Twitter
  activity during the first debate\, focusing on two types of analysis. Fir
 st we construct a measure of deliberation involving the depth (proxy for a
 rgumentation) and breadth (proxy for representation) of reply tree network
 s. Second\, we construct a random sample of root-to-leaf reply chains extr
 acted from the reply trees\, with the chains then manually coded for agree
 ment\, conflict\, and incivility. An overall aim is to understand how deli
 beration trajectories vary with topics of discussion and the partisanship 
 of the discussion partners.
DTSTAMP:20260912T210709Z
LOCATION:Cullen Room
SUMMARY:Reciprocal Communication and Political Deliberation on Twitter - Ro
 bert Ackland
URL:https://conferences.acspri.org.au/2024/talk/D7BSGH/
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