Provision of services related to research on how Generative AI shapes public opinion, and the effects on Polarisation and the Market for News.
The aim of this contract is to generate policy-relevant evidence on how generative Artificial Intelligence (gen-AI) shapes both the supply of, and demand for, argumentative information in the European Union. The listed estimated value is €100,000.
What the buyer needs
- The aim of this contract is to generate policy-relevant evidence on how generative Artificial Intelligence (gen-AI) shapes both the supply of, and demand for, argumentative information in the European Union.
- To this end, the Contractor will: (1) run a large-scale experimental online survey to measure how real-time interactions with AI chatbots influence individual beliefs, reasoning and attitudes on EU policy issues; and (2)…
Procurement signals
- Procedure: EC-JRC/2025/MVP/4809-EXA
- Procedure type: Source procedure code 47396214
- Contract type: Services contract (31095498)
- Submission method: Electronic submission
- Published: 23 Sep 2025
Procurement categories
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Programme and geography
Derived from official EU Funding & Tenders portal source fields. Use this as a shortlisting aid; the official tender record remains authoritative.
Source-backed details
Original identifiers and classification fields from the EU tender source.
- EC-JRC/2025/MVP/4809-EXA
- 728ce0b8-2f49-434b-8972-debd3f7fba1c-EXA
- Source procedure code 47396214
- Services contract (31095498)
- 47352548
- Europe/Brussels
- 17 Jun 2026, 21:04 UTC
Full official description
The aim of this contract is to generate policy-relevant evidence on how generative Artificial Intelligence (gen-AI) shapes both the supply of, and demand for, argumentative information in the European Union. To this end, the Contractor will: (1) run a large-scale experimental online survey to measure how real-time interactions with AI chatbots influence individual beliefs, reasoning and attitudes on EU policy issues; and (2) create a multilingual Human-AI Argumentation Corpus of texts written by professional writers, with and without AI support, and run an evaluation survey to quantify how AI-use transparency disclosures affect persuasion, confirmation bias, and information selection.