Abstract
Topics of disadvantage are often discussed in the media. The discourse
of disadvantage is multidimensional and has many intersecting
elements, with some issues more common than others (e.g. violence,
addiction), and some tending to co-occur, like human rights,
criminal justice, and health to name just a few common themes.
Here, we introduce and describe “Discourse Lines”, an online interactive
visualisation to discover which co-occurring disadvantage
issues are being discussed in the media, and which ones are left out and obscured. The visualisation presents an AI-assisted analysis of
news articles on topics of discourse. Our multi-scale architecture
metro map visualisation invites users to drill down from a topics
overview landing map to topic-specific metro maps until individual
news articles. This dynamic platform allows users to see how discourse
on topics of disadvantage unfolds and how news conflates or
separates various issues over time.
of disadvantage is multidimensional and has many intersecting
elements, with some issues more common than others (e.g. violence,
addiction), and some tending to co-occur, like human rights,
criminal justice, and health to name just a few common themes.
Here, we introduce and describe “Discourse Lines”, an online interactive
visualisation to discover which co-occurring disadvantage
issues are being discussed in the media, and which ones are left out and obscured. The visualisation presents an AI-assisted analysis of
news articles on topics of discourse. Our multi-scale architecture
metro map visualisation invites users to drill down from a topics
overview landing map to topic-specific metro maps until individual
news articles. This dynamic platform allows users to see how discourse
on topics of disadvantage unfolds and how news conflates or
separates various issues over time.
Original language | English |
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Title of host publication | 2023 IEEE VIS Workshop on Exploring Research Opportunities for Natural Language, Text, and Data Visualization (NLVIZ) |
Editors | Vidya Setlur, Arjun Srinivasan |
Place of Publication | Piscataway NJ USA |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Number of pages | 7 |
Publication status | Published - 2023 |
Event | NLVIZ 2024: Exploring Research Opportunities for Natural Language, Text, and Data Visualization - Melbourne, Australia Duration: 22 Oct 2023 → 27 Oct 2023 https://www.nl-vizworkshop.com/2023-workshop |
Conference
Conference | NLVIZ 2024 |
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Abbreviated title | NLVIZ 2024 |
Country/Territory | Australia |
City | Melbourne |
Period | 22/10/23 → 27/10/23 |
Internet address |
Keywords
- Human-centered computing
- Visualization
- Visualization design and evaluation methods