Funding and partners
Funding
The ELTE CSS poltextLAB Artificial Intelligence Laboratory is grateful for the financial support of:
ELTE Centre for Social Sciences (CSS)
Hungarian Artificial Intelligence National Laboratory (MILAB)
HORIZON 2020 (European Union founding for Research & Innovation): Observatory for Political Texts in European Democracies: A European research infrastructure (grant agreement: 951832).
CLARIN – European Research Infrastructure for Language Resources and Technology
National Research, Development and Innovation Office (NKFIH) 2017-2019: /FK-123907/, 2018-2019: /FK-129018/
János Bolyai Research Scholarship (Miklós Sebők, 2019-2020)
CSS HAS Incubator program
Research Development Grant
Partnerships
Big Data Value Association Bronze i-Space label
BME Kommunikációs és Média Tanszék
Mesterséges Intelligencia Koalíció
Quantitative Analysis of Textual Data
MTA SZTAKI LPDS
BME Távközlési és Médiainformatikai Tanszék- SmartLab
Pécsi Tudományegyetem Microsoft AI Tudásközpont
Szegedi Tudományegyetem
Z-inspection® initiative
poltextLAB is affiliated with the Z-inspection® initiative.
Z-Inspection® is a holistic process for evaluating the trustworthiness of AI-based technologies at different stages of the AI lifecycle. In particular, it focuses on identifying and discussing ethical issues and tensions through the development of socio-technical scenarios.
The process has been published in the IEEE Transactions on Technology and Society.
Z-Inspection® is distributed under the terms of the Creative Commons License (Attribution-NonCommercial-ShareAlike CC BY-NC-SA).
Z-Inspection® is listed in the new OECD Catalogue of AI Tools & Metrics.
For more information contact poltextlab@poltextlab.com.
As malicious campaigns multiply, the PROMPT (Predictive Research On Misinformation & Propagation Trajectories) pilot project advances the work of the European Narratives Observatory. We analyze vast amounts of textual data to detect malevolent narratives, focussing on three case-studies: the war in Ukraine, LGBTQI+ rights, and the 2024 European elections.
PROMPT uses the power of LLMs combined with dynamic network analysis for the in-depth recognition of formal patterns across media outlets, social networks and Wikipedia, in 8 languages, based on the rhetorical similarities observed qualitatively. With leading AI-scientists, academics and journalists, we’re developing a refined language model, a narrative monitoring dashboard and MOOCs/trainings for civil society activities.
Coordinator contact details:
opsci: martin[at]opsci[dot]ai / jordan[at]opsci[dot]ai
List of participants (organisations):
- opsci
- Universita degli Studi di Urbino Carlo Bo
- HUN-REN Center for Social Sciences
- Re:Baltica
- Les Surligneurs
- Erich Brost Institute for International Journalism
- Rīga Stradiņš University
- Wikimedia France
- Asociația Digital Bridge
- Orizzonti Politici APS (OriPo or Orizzonti Politici)
Project results can be found here.
PROMPT is a pilot project co-financed by the European Union under Grant Agreement ID LC-0262930
