Participation is by invitation only, following the Dagstuhl Seminar model. Participants are selected to ensure a diverse balance of expertise across academia, journalism, public policy, and industry.

Although attendance is limited, we welcome contributions from the broader community through future collaborations and the BARI platform (please see "How can I contribute if I am not invited").

Please also check https://media-bias-research.org/join-us/.

The seminar is only one step within a much larger initiative.

Researchers, journalists, policymakers, students, and industry partners are encouraged to contribute through the Bias Analysis Research Infrastructure (BARI), future workshops, collaborative projects, datasets, and community discussions.

We believe that developing shared standards for media bias requires contributions from many perspectives.

The BARI platform is under development and the link and more info will be added here once released. 

Yes.

Following the seminar, we plan to publish an official press release summarizing its objectives, discussions, and key outcomes. The press release will be made available on this website and through the Media Bias Group, together with links to publications, reports, and other resources. We also hope it will support broader media coverage and encourage further collaboration across academia, journalism, industry, and public policy.

The Bias Analysis Research Infrastructure (BARI) is an open research infrastructure developed by the Media Bias Group to support computational media bias research.

BARI aims to provide openly accessible taxonomies, annotation guidelines, datasets, benchmarks, educational resources, and software tools that make media bias research more transparent, reproducible, and accessible.

The taxonomy developed during this seminar will become one of BARI's central components.

Learn more about BARI on the Media Bias Group website.

BARI is currently under active development.

A dedicated website will be launched before the seminar, where researchers will be able to access the taxonomy, datasets, documentation, software, and future community resources free of charge. The link will be published here and on the MBG website.

Yes.

The Media Bias Group strongly believes that research infrastructure should be openly accessible. Our goal is to make BARI freely available for researchers, journalists, educators, policymakers, industry, and the general public.

Whenever possible, datasets, software, documentation, and taxonomies will be released under open licenses.

Yes.

The seminar is part of the Media Bias Group's long-term vision of building an international community around computational media bias research.

Beyond the seminar itself, we aim to develop shared infrastructure, strengthen interdisciplinary collaboration, organize future events, and establish sustainable community resources that continue to evolve over many years.

Absolutely.

We view this seminar as the beginning—not the end—of a broader community effort.

Future workshops, conference sessions, research meetings, tutorials, collaborative projects, and follow-up events are already being planned.

This website will continue to serve as the central hub for future activities.

The seminar aims to produce several long-term outcomes, including:

• a peer-reviewed publication summarizing the seminar results,
• a refined media bias taxonomy,
• recommendations for annotation and evaluation,
• priorities for future datasets and benchmarks,
• strengthened international collaborations,
• and openly available community resources through BARI.

Yes.

One of the central goals of the seminar is to develop an openly accessible framework for media bias concepts.

The resulting taxonomy will be integrated into BARI, where it can continue to evolve through future community contributions.

The organizers intend to publish the seminar's scientific outcomes as a peer-reviewed research paper.

In addition, we will publish a freely accessible preprint, the seminar report, presentation material where available, photographs, and other community resources on this website and through the Media Bias Group website.

No.

Media bias is a complex and interdisciplinary topic, and different perspectives often capture different aspects of the phenomenon.

Rather than forcing consensus, the seminar aims to make these perspectives more transparent, identify common ground, and improve interoperability between research communities.

The seminar itself is invitation-only to encourage open scientific discussion.

However, we welcome interest from journalists and science communicators. Depending on availability, interviews with the organizers and guests may be arranged. Please contact us through direct mail (see here).

We believe scientific communities benefit from clear communication, openness, and accessibility. Rather than existing only as a one-week event, the seminar is intended to become a lasting resource that connects researchers, documents outcomes, and supports collaboration long after the discussions at Schloss Dagstuhl have concluded.

Also, you can follow the seminar through this website and the Media Bias Group.

We will publish updates about participants, program developments, publications, future events, BARI, and other community initiatives.

We are always interested in collaborating with universities, research institutes, journalists, public organizations, companies, and funding agencies working on media bias, trustworthy AI, computational social science, and related fields.

If you are interested in collaborating, organizing future events, contributing datasets, or supporting community initiatives, we would be happy to hear from you.

Citation information for the seminar report, peer-reviewed publication, taxonomy, and BARI resources will be published here after the seminar. We encourage researchers to cite both the scientific publication and the corresponding community resources whenever appropriate.