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Artificial Intelligence

Snurb — Friday 17 October 2025 23:15

Auditing Chatbots’ Responses to Conspiracist Questions

Politics | ‘Fake News’ | Artificial Intelligence | Dynamics of Partisanship and Polarisation in Online Public Debate (ARC Laureate Fellowship) | Evaluating the Challenge of ‘Fake News’ and Other Malinformation (ARC Discovery) | AoIR 2025 | Liveblog |

The final speaker in this session at the AoIR 2025 conference is my QUT colleague Dan Angus, presenting our work on AI chatbots’ responses to conspiracist ideation. Ai chatbots are now widely used by everyday users; this is leading to a range of problematic outcomes, as people are being drawn into deep emotional relationships with such chatbots, for instance. Chatbots are also increasingly manipulated to represent distinct ideological perspectives.

Here are our slides:

just-asking-questions-doing-our-own-research-on-conspiratorial-ideation-by-generative-ai-chatbotsfrom Axel Bruns

What happens, then, when chatbots are asked specifically about conspiracy theories? What guardrails and safety mechanisms, if any, are in place in leading …

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Snurb — Friday 17 October 2025 23:13

How Does Chatbot Use Affect Perceptions of Crisis Situations?

Artificial Intelligence | Crisis Communication | AoIR 2025 | Liveblog |

The third presenter in this session at the AoIR 2025 conference is Shupei Yuan, whose interest is in the way that AI chatbots influence risk perception and decision making during times of crisis. In some such crises, such as natural disasters, people might find out about the current situation via emergency alerts, but are perhaps unsure about the correct course of action to take. This requires a short-term decision-making process that deals with the immediate threat.

AI chatbots may be used in such contexts; the Red Cross had an AI chatbot called Clara during the COVID-19 pandemic, for instance, but …

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Snurb — Friday 17 October 2025 23:09

How Students Responded to an Unwanted Courseware Chatbot

Artificial Intelligence | AoIR 2025 | Liveblog |

The next speaker in this session at the AoIR 2025 conference is Muira McCammon, whose focus is on AI chatbots, and particularly a chatbot called Stella, and its use in higher education. Unusually, this is a rule-based chatbot rather than a completely generative AI system. This and other chatbots are now also increasingly used by undergraduate students in higher education, and even embedded in university Websites; the implications of this still need to be understood.

Stella was brought onto campus at Tulane University in October 2023, unbeknownst to teaching staff themselves, and asks students two simple questions: how are you …

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Snurb — Friday 17 October 2025 23:07

How Cyborg Imaginaries Are Affected by the Rise of Generative AI

Internet Technologies | Artificial Intelligence | Wearable Technology | AoIR 2025 | Liveblog |

The next day at the the AoIR 2025 conference starts for me with a panel on AI imaginaries that begins with a paper by Giuliana Frascaria, whose interest is in cyborg imaginaries of the form that have been promoted by people like Mark Zuckerberg for some time. She has previously reviewed the literature and studied public attitudes towards these technologies, but this is limited by the fact that so few of these technologies already exist in the wild; this means that four the most part they remain futuristic imaginaries.

There are only some transhumanist pioneer communities that are early adopters …

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Snurb — Thursday 16 October 2025 23:20

Using LLMs to Identify Changes in Brazilian Hyperpartisan Communities around Bolsonaro’s Election Loss and Coup Attempt

Politics | Elections | Polarisation | 'Big Data' | Artificial Intelligence | Social Media | Echo Chambers and Filter Bubbles | Facebook | AoIR 2025 | Liveblog |

The final speaker in this session at the AoIR 2025 conference is the brilliant Fabio Giglietto, presenting a study of pro-Bolsonaro narratives on Facebook in Brazil. The key question here is whether online hyperpartisan groups are as stable as they are thought to be; is that true, and how does such stability fare in times of intense political crisis?

Brazil is an obvious case for the study of such questions. The project tracked some 59 pro-Bolsonaro accounts between 2021 and 2023, a timeframe including Bolsonaro’s election loss against Lula and his subsequent coup attempt. The dataset contains some 12 million …

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Snurb — Thursday 16 October 2025 23:18

A New Literature Review of LLM Usage Patterns in Computational Communication Research

'Big Data' | Artificial Intelligence | AoIR 2025 | Liveblog |

The next speaker in this session at the AoIR 2025 conference is my QUT colleague Tariq Choucair, presenting a comprehensive review of the state of the art in the use of LLMs in content analysis research. This review focusses on the use of LLMs to analyse human-generated text, understood as a social phenomenon. This extends past reviews of computational text analysis methods that were published in previous years: the considerable growth in LLM use has made it necessary to return to the recent literature to examine how computational methodologies have evolved since then.

Past methods have enabled the analysis of …

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Snurb — Thursday 16 October 2025 23:16

Challenges in Using LLMs for Frame Analysis of News Coverage

Politics | Polarisation | Journalism | Industrial Journalism | Artificial Intelligence | Dynamics of Partisanship and Polarisation in Online Public Debate (ARC Laureate Fellowship) | AoIR 2025 | Liveblog |

The next speaker in this panel at the AoIR 2025 conference is my QUT colleague Laura Vodden, presenting her work on exploring LLM-assisted frame analysis of news coverage. This focusses here especially on Australian climate activism news coverage. The first challenge here, of course, is to understand framing, which usually includes a problem definition, suggested causes, proposed solutions, blame attribution, and and addressee for the solution. Such framing frequently occurs in news reporting.

Laura’s slides are here:

aoir2025_llm_assisted_frame_analysis-pptxfrom LauraVodden

Frame analysis is a difficult and labour-intensive task, however; it requires critical engagement with complex material, and human coding is …

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Snurb — Thursday 16 October 2025 23:15

Experiences in Using LLMs to Code Open-Ended Survey Responses

Politics | Polarisation | 'Big Data' | Artificial Intelligence | AoIR 2025 | Liveblog |

We start the first day of the AoIR 2025 conference proper with a panel on LLMs in research that involves several members of my QUT team. We start with a paper by Paul Pressmann, though, whose focus is on using LLMs in processing open-text responses from survey studies. The interest here is especially in questions of polarisation.

The data for this come from the POLTRACK project, which investigates the interrelations between individualised online information environments and polarisation. This combines Web tracking and surveys of some 2,000 participants. The survey component includes both closed- and open-ended questions that are used to …

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Snurb — Thursday 16 October 2025 08:45

Internet Research as a Form of Resistance

Politics | Government | Polarisation | Journalism | ‘Fake News’ | Internet Technologies | 'Big Data' | Artificial Intelligence | Social Media | AoIR 2025 | Liveblog |

It’s that time of the year, and I’ve made my annual pilgrimage to the annual conference of the Association of Internet Researchers (AoIR), the single most important highlight of the academic year. This year we’re in Niterói, Rio de Janeiro, and after the local welcomes we start the conference proper with a keynote by the great Marie Santini from NetLab at the Federal University of Rio de Janeiro, who is also a genuine Niterói local. She begins by revisiting the timeline of Internet studies: we have now reached a moment of great rupture (the theme of this year’s conference) …

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Snurb — Wednesday 1 October 2025 03:01

Assessing Recommendation Diversity in Search Results: Approaches Using Data Donations and Artificial Personas (SEASON 2025)

Politics | Artificial Intelligence | Search Engines | Echo Chambers and Filter Bubbles | ARC Centre of Excellence for Automated Decision-Making and Society | SEASON 2025 |

SEASON 2025

Assessing Recommendation Diversity in Search Results: Approaches Using Data Donations and Artificial Personas

Axel Bruns, Daniel Angus, Ashwin Nagappa, Kateryna Kasianenko, Abdul Obeid, Shir Weinbrand, and Brett Tweedie

  • 25 Sep. 2025 – Paper presented at the SEASON 2025 conference, Hamburg

Presentation Slides

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