Schweizerischer Verein für ausgewogene Berichterstattung
SVFAB analyses public broadcasting systematically, AI-assisted and primary-source-based — for balance, omission bias and compliance with the legal mandate. Not as opinion. As measurement.
“We do not judge journalists. We measure the balance of public broadcasting.”
“Public broadcasters have a legal mandate. Those who receive 1.3 billion francs from the public bear a special responsibility. That responsibility is measurable.”
“The system is skewed — not the people. The solution belongs to everyone.”
“SRF’s sports department proves that balanced reporting is possible (0.69) — the news department of the same broadcaster scores 5.14.”
No research institute worldwide has ever analysed public broadcasting with this level of systematisation, methodology and scope for legal balance. This is a key finding from exchanges with media scientists worldwide.
SVFAB is the first and only organisation in the world to have built this.
The Swiss Association for Balanced Reporting (SVFAB) is a non-profit organisation committed to fairness and plurality of opinion in the Swiss media.
David Schläpfer – President, with expertise in IT, psychology, law and socio-political engagement.
Jürg Rückmar – Active contributor in organisation and public outreach.
We work with members, supporters and volunteers from all walks of life who share our vision of a balanced, fact-based public discourse.
Our methodology is based on the GDI quality standard.
In 2016, SRG SSR commissioned the Gottlieb Duttweiler Institute (GDI) to produce a foundational study on its future. The GDI defined „integration performance“ as the most important quality criterion for a public broadcaster — and explicitly recommended verifying it with measurable criteria.
SVFAB implements this recommendation: independently, systematically, AI-assisted — with close to 120,000 analysed broadcasts dating back to 1968.
“No research institute worldwide has so far built a comparable system for the systematic AI-assisted analysis of public service broadcasts.”
‚No research institute in the world has ever built a comparable system for the systematic AI-assisted analysis of public broadcasting.‘