paper-with-me

홈 › Papers

Just Asking Questions: Doing Our Own Research on Conspiratorial Ideation by Generative AI Chatbots

2025-11-18 · Katherine M. FitzGerald, Michelle Riedlinger, Axel Bruns, Stephen Harrington, Timothy Graham, Daniel Angus arxiv

Interactive chat systems that build on artificial intelligence frameworks are increasingly ubiquitous and embedded into search engines, Web browsers, and operating systems, or are available on websites and apps. Researcher efforts have sought to understand the limitations and potential for harm of generative AI, which we contribute to here. Conducting a systematic review of six AI-powered chat systems (ChatGPT 3.5; ChatGPT 4 Mini; Microsoft Copilot in Bing; Google Search AI; Perplexity; and Grok in Twitter/X), this study examines how these leading products respond to questions related to conspiracy theories. This follows the platform policy implementation audit approach established by Glazunova et al. (2023). We select five well-known and comprehensively debunked conspiracy theories and four emerging conspiracy theories that relate to breaking news events at the time of data collection. Our findings demonstrate that the extent of safety guardrails against conspiratorial ideation in generative AI chatbots differs markedly, depending on chatbot model and conspiracy theory. Our observations indicate that safety guardrails in AI chatbots are often very selectively designed: generative AI companies appear to focus especially on ensuring that their products are not seen to be racist; they also appear to pay particular attention to conspiracy theories that address topics of substantial national trauma such as 9/11 or relate to well-established political issues. Future work should include an ongoing effort extended to further platforms, multiple languages, and a range of conspiracy theories extending well beyond the United States.

📄 PDF Abstract BibTeX arXiv:2511.15732

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Asking More Informative Questions for Grounded Retrieval

2023-11-14 · Sedrick Keh, Justin T. Chiu, Daniel Fried

When a model is trying to gather information in an interactive setting, it benefits from asking informative questions. However, in the case of a grounded multi-turn image identification task, previous studies have been c…

Question AnsweringQuestion SelectionRetrievalVisual Question Answering+1

ConspirED: A Dataset for Cognitive Traits of Conspiracy Theories and Large Language Model Safety

2025-08-28 · Luke Bates, Max Glockner, Preslav Nakov, Iryna Gurevych arxiv

Conspiracy theories erode public trust in science and institutions while resisting debunking by evolving and absorbing counter-evidence. As AI-generated misinformation becomes increasingly sophisticated, understanding th…

Who's Behind It? Annotating and Extracting Conspiratorial Actors from German Telegram Posts

2026-07-06 · Helena Mihaljević, Jolanda Beer, Mareike Lisker, Katharina Soemer arxiv

Conspiracy theories commonly attribute important events to the actions of powerful and secretive actors. While computational research has largely focused on document-level analyses of conspiracy theories, less attention …

ACTI at EVALITA 2023: Overview of the Conspiracy Theory Identification Task

2023-07-12 · Giuseppe Russo, Niklas Stoehr, Manoel Horta Ribeiro

Conspiracy Theory Identication task is a new shared task proposed for the first time at the Evalita 2023. The ACTI challenge, based exclusively on comments published on conspiratorial channels of telegram, is divided int…

ClassificationMisinformation

Interactively Robot Action Planning with Uncertainty Analysis and Active Questioning by Large Language Model

2023-08-30 · Kazuki Hori, Kanata Suzuki, Tetsuya OGATA

The application of the Large Language Model (LLM) to robot action planning has been actively studied. The instructions given to the LLM by natural language may include ambiguity and lack of information depending on the t…

Language ModelingLanguage ModellingLarge Language Model