HeyJaredRead Them Sideways
Read Them Sideways is the podcast produced by the Digital Media Research Centre at the Queensland University of Technology.
- Indexed episodes, last 90 days
- 3
- Latest publication
- Aug 19, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 23, 2026
Latest episodes
Teaching Deliberative Democracy to Young People; The Compartilha Project (#48) (opens the original)
Read excerpt
In this episode, your host Sam Vilkins speaks with two visiting scholars to the Digital Media Research Centre - Julia Ester de Paula and Thales Antonelli. They speak about the Comphartilha project, which has been introduced in Brazilian schools to develop skills in deliberative democracy. Julia and Thales explain what deliberative democracy is, the benefit of supporting this in schools, and how a creative game can build confidence and deliberative democratic skills in school students.
Are generative AI chatbots encouraging conspiracy theories? (#47) (opens the original)
Read excerpt
In this episode, host Dr Sebastian Svegaard speaks with PhD researcher Kate FitzGerald about her recently published paper considering the safety guardrails in place when prompting chatbots with conspiratorial prompts. That is, do chatbots like ChatGPT have safety features to keep users safe from being exposed to harmful conspiracy theories? Kate explains the methodology and findings of this paper, that she published with DMRC colleagues Michelle Riedlinger, Axel Bruns, Stephen Harrington, Timoth
Social media and politics: 2016 versus today (#46) (opens the original)
Read excerpt
In this episode, your host Dr Sam Vilkins speaks with DMRC scholars Professor Axel Bruns and Dr Kateryna Kasianenko on the newly released second edition of the Routledge Companion to Social Media and Politics. Axel and Kateryna reflect on the changes in the field over the last ten years, the chapters they contributed, and the challenges of keeping a companion book such as this both timely and timeless. You can peruse the book by clicking here.
Publishing over time
Last 90 days. Choose a month to open its work.
Recurring subjects
Named in the text we hold. One piece can cover several.
Audience
No verified audience measurement yet.
About this data
Counts cover the work we have indexed. Tone needs enough text and a confident classification. Excerpts and episode notes are not full articles or transcripts.
Identity or attribution wrong? Suggest a correction.