Demos and trainings

Project partner ONTOTEXT is working on a variety of multilingual matters, using AI in this context. In this article, the Bulgaria-based company outlines how state-of-the-art AI models for multilingual entity linking enable working with concepts in 100+ languages, and how this helps to connect and analyze linguistically diverse content.

Would you like to meet some of the VERA.AI team members? If so: don’t miss the chance and look for us in Nuremberg from 4-7 December 2023  at the IEEE Workshop in Information Forensics and Security.

Our innovation manager Denis Teyssou (AFP) conducted a 50 minutes dedicated breakout session named AI vs disinformation: the vera.ai project: enhancing the InVID-WeVerify plugin. Around 40 participants, including well-known fact-checkers like Craig Silverman (ProPublica), attended the session in-person. The talk was recorded for online participants on the Global Fact 10 website.

Here's a video recording of a talk by Fabio Giglietto of the University of Urbino, given in June 2023 at the Queensland University of Technology (QUT). Topic: using OpenAI models to identify the most salient topics circulated via Facebook links in the run-up to the Italian general elections.

Eneya Georgieva, product owner of Ontotext's disinformation-related products, showcased the Searchable Graph of Enriched Debunks, DBKF (also known as Database of Known Fakes), at the EBU’s Data Technology Seminar 2023 onsite in Geneva.

Project coordinator Olga Papadopoulou, CERTH, presented vera.ai and the MeVer toolset at this year's EBU data technology seminar held in Geneva and online. Here's a summary of what Olga presented and insights she shared with the audience.

Participatory Design actively involves relevant stakeholders in the design process. This is exactly what we are planning to do in the vera.ai project: Within six sessions, starting in March 2023, we will elaborate and bring together user needs and design prototypes.

At the “Digital Methods Winter School and Data Sprint 2023” vera.ai project partner Ontotext coordinated a project that aimed to engage participants in providing an analysis on how to identify different elements in the spread of disinformation, and come up with ideas of how to reduce disinformation dissemination through insights and tools. A key question: How to model the spread of disinformation by identifying its components and the connection between various instances?

In this piece we present findings from a study on current fact-checking archiving practices and Facebook post removals using the “War in Ukraine” dataset of the European Digital Media Observatory (EDMO). Insights presented here come from a project that was carried out as part of the Digital Methods Initiative Winter School and Data Sprint 2023.

Here's another project that was carried out during the 2023 Winter School organised by the University of Amsterdam’s Digital Methods Initiative (DMI). The work of this team, coordinated by the hosts themselves, among other tested a "detection method” that is to allow fact-checkers for faster detection of “post-truth spaces” and verification of actors that spread (in this case pro-Kremlin) propaganda on social networks.