
IViR Summer Courses:

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IViR Summer Courses:

IViR Summer Courses:

IViR Summer Courses:
IViR Summer Courses:
In this TL;DR episode, João Quintais explains the interaction between the AI Act and EU copyright law, focusing on text and data mining (TDM). He unpacks key issues like lawful access, opt-out mechanisms, and transparency obligations for AI developers. João explores challenges such as extraterritoriality and trade secrets, offering insights into how voluntary codes of practice and contractual diligence could help align AI innovation with EU copyright rules.
IViR is pleased and proud to announce that Balázs Bodó has been appointed, per 1 January 2025, as a full professor at IViR, to the chair ‘Information Law and Policy, with special emphasis on Technology Governance’.
The University of Amsterdam is providing funding and support for new or early-stage creative media projects that unearth, explore, and critique the digital economy in India from the perspectives of the labour that supports and sustains it.
Article{nokey,
title = {Designing algorithms against corruption: a conjoint study on communicative features to encourage intentions for collective action},
author = {Starke, C. and Kieslich, K. and Reichert, M. and Köbis, N.},
url = {https://www.tandfonline.com/doi/full/10.1080/19331681.2025.2465326},
doi = {https://doi.org/10.1080/19331681.2025.2465326},
year = {2025},
date = {2025-02-26},
journal = {Journal of Information Technology & Politics},
abstract = {Algorithmic tools are increasingly used to automate corruption reporting on social media platforms. Based on the use case of an existing bot, this study investigates how to design the communication of a bot to effectively and responsibly mobilize people for collective action against corruption. In a pre-registered choice-based conjoint survey (n = 1,331), we test six message design features: type of injustice, degree of injustice, anger, political partisanship, gender, and efficacy cues. Our results show that calling out cases of severe corruption increased people’s intention to engage in collective action against corruption. We find no empirical support for in-group favoritism based on political affiliation and gender. Yet, some commonly used design features can have contrasting effects on different audiences. We call for more social science research accompanying the technical development of algorithmic tools to fight corruption.},
}
Online publication{nokey,
title = {The concept of “research organisation” and its implications for text and data mining and AI research},
author = {Quintais, J.},
url = {https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5155685},
doi = {https://doi.org/10.2139/ssrn.5155685},
year = {2025},
date = {2025-02-26},
abstract = {The concept of a “research organization” has significant implications across various domains of EU information law, including copyright, artificial intelligence (AI), and even platform regulation. Defined in the Copyright in the Digital Single Market Directive (CDSMD), this concept plays a crucial role in determining the legal obligations and rights of entities engaging in activities such as text and data mining (TDM) and AI research, or data access for research purposes. By examining how this definition interacts with legislative frameworks like the CDSMD and the AI Act, this short contribution examines its critical role in EU digital regulation of research and highlights areas of legal uncertainty.},
}
Article{nokey,
title = {Co-creating research at The AI, media, and democracy lab: Reflections on the role of academia in collaborations with media partners},
author = {Cools, H. and Helberger, N. and Vreese, C.H. de},
url = {https://journals.sagepub.com/doi/10.1177/14648849251318622},
doi = {https://doi.org/10.1177/14648849251318622},
year = {2025},
date = {2025-02-04},
journal = {Journalism},
abstract = {This commentary explores academia’s role in co-creating research with media partners, focusing on the distinct roles and challenges that each stakeholder brings to such partnerships. Starting from the perspective of the AI, Media, and Democracy Lab, and building on the Ethical, Legal, and Societal Aspects (ELSA) approach, we share key learnings from 3 years of collaborations with (media) partners. We conclude that navigating dual roles, expectations, output alignment, and a process of knowledge sharing are important requirements for academics and (media) partners to adequately co-create research and insights. We also argue that these key lessons do not always square with how academic research is organized and funded. We underscore that changes in funding structures and the way academic research is assessed can further facilitate the co-creation of research between academic research and projects in the media sector.},
}
Copyright, open science, research exceptions, right to research, technological protection measures, text and data mining, three-step test
Online publication{nokey,
title = {Towards a European Research Freedom Act: A Reform Agenda for Research Exceptions in the EU Copyright Acquis},
author = {Senftleben, M. and Szkalej, K. and Sganga, C. and Margoni, T.},
url = {https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5130069},
year = {2025},
date = {2025-02-11},
abstract = {This article explores the impact of EU copyright law on the use of protected knowledge resources in scientific research contexts. Surveying the current copyright/research interface, it becomes apparent that the existing legal framework fails to offer adequate balancing tools for the reconciliation of divergent interests of copyright holders and researchers. The analysis identifies structural deficiencies, such as fragmented and overly restrictive research exceptions, opaque lawful access provisions, outdated non-commercial use requirements, legal uncertainty arising from the three-step test in the EU copyright acquis, obstacles posed by the protection of paywalls and other technological measures, and exposure to contracts that override statutory research freedoms. Empirical data confirm that access barriers, use restrictions and the absence of harmonised rules for transnational research collaborations impede the work of researchers. Against this background, we advance proposals for legislative reform, in particular the introduction of a mandatory, open-ended research exemption that offers reliable breathing space for scientific research across EU Member States, the clarification of lawful access criteria, a more flexible approach to public-private partnerships, and additional rules that support modern research methods, such as text and data mining.},
keywords = {Copyright, open science, research exceptions, right to research, technological protection measures, text and data mining, three-step test},
}
Copyright, Generative AI
Online publication{nokey,
title = {European Copyright Society Opinion on Copyright and Generative AI},
author = {Dusollier, S. and Kretschmer, M. and Margoni, T. and Mezei, P. and Quintais, J. and Rognstad, O.A.},
url = {https://copyrightblog.kluweriplaw.com/2025/02/07/european-copyright-society-opinion-on-copyright-and-generative-ai/},
year = {2025},
date = {2025-02-07},
journal = {Kluwer Copyright Blog},
keywords = {Copyright, Generative AI},
}