4 citations · 4 across the 2 of their papers we have counts for
4 papers
SWARM: A Multilingual Human-Annotated Dataset for Russian Propaganda Detection in Search Engine Results
Manuel Tonneau, Abhinav Dubey, Farhan Shaikh +8
Russian state propaganda spreads across many languages and online spaces. Yet, most computational work examines only one such space, usually social media, in one or two languages,…
Fact-checking with Generative AI: A Systematic Cross-Topic Examination of LLMs Capacity to Detect Veracity of Political Information
Elizaveta Kuznetsova, Ilaria Vitulano, Mykola Makhortykh +3
The purpose of this study is to assess how large language models (LLMs) can be used for fact-checking and contribute to the broader debate on the use of automated means for veracit…
Algorithmically Curated Lies: How Search Engines Handle Misinformation about US Biolabs in Ukraine
Elizaveta Kuznetsova, Mykola Makhortykh, Maryna Sydorova +3
The growing volume of online content prompts the need for adopting algorithmic systems of information curation. These systems range from web search engines to recommender systems a…
In Generative AI we Trust: Can Chatbots Effectively Verify Political Information?
Elizaveta Kuznetsova, Mykola Makhortykh, Victoria Vziatysheva +3
This article presents a comparative analysis of the ability of two large language model (LLM)-based chatbots, ChatGPT and Bing Chat, recently rebranded to Microsoft Copilot, to det…