Browsing and analyzing the “web of claims”: characteristics, biases, and evolution of fact-checked statements

The Research Center conferences aim to raise awareness within the community about new topics and technological innovations. 

Aimed at a wide audience—students and researchers from all disciplines—they draw on the multidisciplinary expertise of the MIPS Cluster, partner clusters and structures, and national and international teams.

They are held on the first Friday of each month at 11:30 a.m. and are followed by a buffet lunch, providing an opportunity to continue discussions.

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Browsing and Analyzing the Web of Claims: Characteristics, Biases, and Evolution of Fact-Checked Claims

EXPLORE AND ANALYZE the "web of claims": CHARACTERISTICS, BIASES, AND EVOLUTION OF FACT-CHECKED STATEMENTS

Konstantin Todorov, LIRMM, Montpellier

How do falsehoods spread on the web? This question, tied to the spread of fake news and biased discourse, has gained interest across fields from social sciences to AI. Online discourse—claims and opinions shared online with their contexts (authors, entities, events)—offers valuable insights. However, knowledge graphs of today lack information about claims and related discourse, limiting their utility for accessing and reusing this data. In this talk, I will introduce ClaimsKG, a knowledge graph of fact-checked claims enriched with metadata like truth labels, authors, topics, and references. Built from fact-checking portals and structured using a purpose-built data model, ClaimsKG provides ground truth data for analyzing societal debates on the web. I will demonstrate tools developed for ClaimsKG that facilitate claim exploration and statistical analysis, exploring the biases and evolution of fact-checked claims on the web. Finally, I will place a specific emphasis on ongoing work in modeling and tracing science-related discourse, showcasing the importance of this topic and the need for novel models specifically tailored to scientific discourse in online platforms.