47 citations · 134 across the 27 of their papers we have counts for
5 papers · 1 filter
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…
Finding frames with BERT: A transformer-based approach to generic news frame detection
Vihang Jumle, Mykola Makhortykh, Maryna Sydorova +1
Framing is among the most extensively used concepts in the field of communication science. The availability of digital data offers new possibilities for studying how specific aspec…
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…
Panning for gold: Lessons learned from the platform-agnostic automated detection of political content in textual data
Mykola Makhortykh, Ernesto de León, Aleksandra Urman +5
The growing availability of data about online information behaviour enables new possibilities for political communication research. However, the volume and variety of these data ma…