Ronja Rönnback

Ronja Rönnback

PhD student researching how to study algorithms, with algorithms.

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portfolio

publications

Ethical Concerns About Personhood, Responsibility, and Privacy in Active and Passive Brain-Computer Interfaces

Published in Springer, 2024

Brain Computer Interfaces (BCIs) are intelligent systems that enable direct communication between the human brain and machines. While BCI systems are promising for future medical and non-medical applications, studies concerning their ethical considerations are growing. However, no previous study has examined how the public’s ethical perception of the BCI technology is affected by the particular BCI type in question.

Recommended citation: Rönnback, R., Blom, F., Alimardani, M. (2024). "Ethical Concerns About Personhood, Responsibility, and Privacy in Active and Passive Brain-Computer Interfaces." Intelligent Systems and Applications. IntelliSys 2023. Lecture Notes in Networks and Systems, Springer. 822.
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Automatic large-scale political bias detection of news outlets

Published in PLOS One, 2025

Political bias is an inescapable characteristic in news and media reporting, and understanding what political biases people are exposed to when interacting with online news is of crucial import. In this article, we introduce a data-driven approach that uses machine learning techniques to analyse multiple forms of bias, and that can estimate the political leaning of hundreds of thousands of Web domains with high accuracy.

Recommended citation: Rönnback, R., Emmery, C., Brighton, H. (2025). "Automatic large-scale political bias detection of news outlets ." PLOS One. 20(5).
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The Role of Search Engines in the Amplification and Suppression of LGBTIQ+ Polarization

Published in Pre-print, 2025

Search engines are used and trusted by hundreds of millions of people every day. However, the algorithms used by search engines to index, filter, and rank web content are inherently biased, and will necessarily prefer some views and opinions at the expense of others. In this article, we examine how these algorithmic biases amplify and suppress polarizing content.

Recommended citation: Rönnback, R., Emmery, C., Safáˇr-Postma, M., Milde, F., Charvát, J., Brighton, H. (2015). "The Role of Search Engines in the Amplification and Suppression of LGBTIQ+ Polarization ." Pre-Print.
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talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015

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