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Felicia Löcherbach is a PhD Candidate at the department of Communication Science. She is studying the diversity of issues and perspectives in (online) news and how it is affected by recommender algorithms and selective exposure. She is supervised by Wouter van Atteveldt (Vrije Universiteit Amsterdam), Damian Trilling and Judith Möller (University of Amsterdam). Her research is part of the project “Inside the filter bubble: A framework for deep semantic analysis of mobile news consumption traces” funded by a JEDS grant from NWO.
Felicia obtained a Research Master in Communication Science at the University of Amsterdam (2018), and a Bachelor in Communication Science and Philosophy from the University of Erfurt (2016).
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Research Output 2018 2018
- 1 Conference contribution
3bij3: A framework for testing effects of recommender systems on news exposure
Locherbach, F. & Trilling, D., 24 Dec 2018, Proceedings - IEEE 14th International Conference on eScience, e-Science 2018. Institute of Electrical and Electronics Engineers Inc., p. 350-351 2 p. 8588712Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review
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