Tackling Media Bias
THROUGH RESEARCH
We develop and scale research to understand and address media bias.
The Media Bias Group is an interdisciplinary network of researchers focused on studying how media bias is perceived, identified, and addressed. Our team combines expertise from Psychology, Linguistics, Computer Science, Economics, and Political Science to explore the effects of media bias on individuals and societies, and to develop tools for its detection.
About UsMedia Bias:
A COMPLEX ISSUE
Media bias is a widespread challenge that influences public perception and decision-making. It shapes political views, social opinions, and voting behaviors. The Media Bias Group aims to deepen our understanding of media bias and its consequences, as well as create reliable methods to detect and visualize bias in media content.
Our researchOur vision:
INCREASE WORLDWIDE
BIAS AWARENESS
We are committed to advancing research that helps identify media bias and enhances public awareness. By building datasets and tools for bias detection, we aim to support both users and researchers in better understanding the biases present in news content.
Tackling Media Bias
through Research
We develop and scale research to understand and address media bias.
The Media Bias Group is an interdisciplinary network of researchers focused on studying how media bias is perceived, identified, and addressed. Our team combines expertise from Psychology, Linguistics, Computer Science, Economics, and Political Science to explore the effects of media bias on individuals and societies, and to develop tools for its detection.
Media Bias:
A Complex Issue
Media bias is a widespread challenge that influences public perception and decision-making. It shapes political views, social opinions, and voting behaviors. The Media Bias Group aims to deepen our understanding of media bias and its consequences, as well as create reliable methods to detect and visualize bias in media content.
Our vision:
Increase worldwide bias awareness
We are committed to advancing research that helps identify media bias and enhances public awareness. By building datasets and tools for bias detection, we aim to support both users and researchers in better understanding the biases present in news content.
We are a young project
Interdisciplinary
JOIN US
To pursue an ambitious social project, we seek dedicated, focused and inventive minds to join our team and/or network.
- Become a research or industry partner
- Join us as a Ph.D. student
- Join as a thesis student
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Adrian Smith
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Jane Farmer
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Mary Farrell
