Problem Definition in the Digital Democracy

Informazioni relative al progetto

PRODIGI

ID dell’accordo di sovvenzione: 883121

DOI

10.3030/883121

Data della firma CE 24 Aprile 2020

Data di avvio 1 Gennaio 2021

Data di completamento 31 Dicembre 2025

Finanziato da

• EXCELLENT SCIENCE - European Research Council (ERC)

Costo totale

€ 2 483 765,00

Contributo UE

€ 2 483 765,00

Coordinato da

UNIVERSITAT ZURICH
Switzerland

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Pubblicazioni

Peer reviewed articles (16)

Open-source LLMs for text annotation: a practical guide for model setting and fine-tuning

Autori: Meysam Alizadeh, Maël Kubli, Zeynab Samei, Shirin Dehghani, Mohammadmasiha Zahedivafa, Juan D. Bermeo, Maria Korobeynikova, Fabrizio Gilardi
Pubblicato in: Journal of Computational Social Science, Numero 8, 2025, ISSN 2432-2717
Editore: Springer Science and Business Media LLC
DOI: 10.1007/s42001-024-00345-9

A survey of expert views on misinformation: Definitions, determinants, solutions, and future of the field

Autori: Sacha Altay, Manon Berriche, Hendrik Heuer, Johan Farkas, Steven Rathje
Pubblicato in: Harvard Kennedy School Misinformation Review, Numero 4(4), 2023, ISSN 2766-1652
Editore: Harvard Kennedy School
DOI: 10.37016/mr-2020-119

How Negative Media Coverage Impacts Platform Governance: Evidence from Facebook, Twitter, and YouTube

Autori: Nahema Marchal, Emma Hoes, K. Jonathan Klüser, Felix Hamborg, Meysam Alizadeh, Mael Kubli, Christian Katzenbach
Pubblicato in: Political Communication, Numero 42, 2025, Pagina/e 215-233, ISSN 1058-4609
Editore: Taylor & Francis
DOI: 10.1080/10584609.2024.2377992

Media literacy tips promoting reliable news improve discernment and enhance trust in traditional media

Autori: Sacha Altay, Andrea De Angelis, Emma Hoes
Pubblicato in: Communications Psychology, Numero 2, 2024, ISSN 2731-9121
Editore: Springer Science and Business Media LLC
DOI: 10.1038/s44271-024-00121-5

Existential risk narratives about AI do not distract from its immediate harms

Autori: Emma Hoes, Fabrizio Gilardi
Pubblicato in: Proceedings of the National Academy of Sciences, Numero 122, 2025, ISSN 0027-8424
Editore: National Academy of Sciences
DOI: 10.1073/pnas.2419055122

Content Moderation As a Political Issue: The Twitter Discourse Around Trump's Ban

Autori: Meysam Alizadeh, Fabrizio Gilardi, Emma Hoes, K. Jonathan Klüser, Maël Kubli, Nahema Marchal
Pubblicato in: Journal of Quantitative Description: Digital Media, Numero 26738813, 2022, Pagina/e 1-44, ISSN 2673-8813
Editore: HOPE - HBZ Open Publishing Environment
DOI: 10.51685/jqd.2022.023

Tokenization of social media engagements increases the sharing of false (and other) news but penalization moderates it

Autori: Meysam Alizadeh, Emma Hoes, Fabrizio Gilardi
Pubblicato in: Scientific Reports, Numero 13, 2023, Pagina/e 13703, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-023-40716-2

People are skeptical of headlines labeled as AI-generated, even if true or human-made, because they assume full AI automation

Autori: Sacha Altay, Fabrizio Gilardi
Pubblicato in: PNAS Nexus, Numero 3, 2024, ISSN 2752-6542
Editore: Oxford University Press (OUP)
DOI: 10.1093/pnasnexus/pgae403

Social Media and Policy Responses to the COVID‐19 Pandemic in Switzerland

Autori: Fabrizio Gilardi, Theresa Gessler, Maël Kubli, Stefan Müller
Pubblicato in: Swiss Political Science Review, 2021, ISSN 1424-7755
Editore: Wiley-Blackwell
DOI: 10.1111/spsr.12458

Misinformation reloaded? Fears about the impact of generative AI on misinformation are overblown

Autori: Simon, Felix; Altay, Sacha; Mercier, Hugo
Pubblicato in: Harvard Kennedy School Misinformation Review, 2023, ISSN 2766-1652
Editore: Harvard Kennedy School
DOI: 10.37016/mr-2020-127

Comparing methods for creating a national random sample of twitter users

Autori: Meysam Alizadeh, Darya Zare, Zeynab Samei, Mohammadamin Alizadeh, Mael Kubli, Mohammadhadi Aliahmadi, Sarvenaz Ebrahimi, Fabrizio Gilardi
Pubblicato in: Social Network Analysis and Mining, Numero 14, 2025, ISSN 1869-5469
Editore: Springer Science and Business Media LLC
DOI: 10.1007/s13278-024-01327-5

Level Playing Field or Politics as Usual? Equalization–Normalization in Direct Democratic Online Campaigns

Autori: Manuela Fischer, Fabrizio Gilardi
Pubblicato in: Media and Communication, Numero 11(1), 2023, Pagina/e 43-55, ISSN 2183-2439
Editore: Cogitatio Press
DOI: 10.17645/mac.v11i1.6004

Building Research Infrastructures to Study Digital Technology and Politics: Lessons from Switzerland

Autori: Fabrizio Gilardi, Lucien Baumgartner, Clau Dermont, Karsten Donnay, Theresa Gessler, Maël Kubli, Lucas Leemann, Stefan Müller
Pubblicato in: PS: Political Science & Politics, Numero 55(2), 2022, Pagina/e 354-359, ISSN 1049-0965
Editore: Cambridge University Press
DOI: 10.1017/s1049096521000895

Exposure to Higher Rates of False News Erodes Media Trust and Fuels Overconfidence

Autori: Sacha Altay, Benjamin A. Lyons, Ariana Modirrousta-Galian
Pubblicato in: Mass Communication and Society, Numero 28, 2025, Pagina/e 301-325, ISSN 1520-5436
Editore: Lawrence Erlbaum Associates, Inc.
DOI: 10.1080/15205436.2024.2382776

ChatGPT outperforms crowd workers for text-annotation tasks

Autori: Fabrizio Gilardi, Meysam Alizadeh, Maël Kubli
Pubblicato in: Proceedings of the National Academy of Sciences, Numero 120(30), 2023, Pagina/e e2305016120, ISSN 0027-8424
Editore: National Academy of Sciences
DOI: 10.1073/pnas.2305016120

Social Media and Political Agenda Setting

Autori: Gilardi, Fabrizio; Gessler, Theresa; Kubli, Mael; Müller, Stefan
Pubblicato in: Political Communication, Numero 39(1), 2022, Pagina/e 39-60, ISSN 1058-4609
Editore: Taylor & Francis
DOI: 10.1080/10584609.2021.1910390

Non-peer reviewed articles (2)

We need to understand the effect of narratives about generative AI

Autori: Fabrizio Gilardi, Atoosa Kasirzadeh, Abraham Bernstein, Steffen Staab, Anita Gohdes
Pubblicato in: Nature Human Behaviour, Numero 8, 2024, Pagina/e 2251-2252, ISSN 2397-3374
Editore: Springer Science and Business Media LLC
DOI: 10.1038/s41562-024-02026-z

Open-Source Large Language Models Outperform Crowd Workers and Approach ChatGPT in Text-Annotation Tasks

Autori: Alizadeh, Meysam; Kubli, Maël; Samei, Zeynab; Dehghani, Shirin; Bermeo, Juan Diego; Korobeynikova, Maria; Gilardi, Fabrizio
Pubblicato in: arXiv, Numero 1, 2023, ISSN 2331-8422
Editore: Cornell University
DOI: 10.48550/arxiv.2307.02179

Book chapters (2)

Digital Democracy

Autori: Gilardi, Fabrizio; Trechsel, Alexander
Pubblicato in: The Oxford Handbook of Swiss Politics, 2023
Editore: Oxford University Press
DOI: 10.1093/oxfordhb/9780192871787.013.22

Exploring Relationships Between Cryptocurrency News Outlets and Influencers’ Twitter Activity and Market Prices

Autori: Meysam Alizadeh, Yasaman Asgari, Zeynab Samei, Sara Yari, Shirin Dehghani, Mael Kubli, Darya Zare, Juan Diego Bermeo, Veronika Batzdorfer, Fabrizio Gilardi
Pubblicato in: Lecture Notes in Computer Science, Social Networks Analysis and Mining, 2025, Pagina/e 455-471
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-78541-2_28

Other (1)

Comparing Methods for Creating a National Random Sample of Twitter Users

Autori: Meysam Alizadeh, Darya Zare, Zeynab Samei, Mohammadamin Alizadeh, Maël Kubli, Mohammadhadi Aliahmadi, Sarvenaz Ebrahimi, Fabrizio Gilardi
Pubblicato in: arXiv, 2024
Editore: Cornell University
DOI: 10.48550/arxiv.2402.04879

Monographic books (1)

Digital Technology, Politics, and Policy-Making

Autori: Fabrizio Gilardi
Pubblicato in: Cambridge Elements in Public Policy, 2022, ISBN 9781108887304
Editore: Cambridge University Press
DOI: 10.1017/9781108887304