If you made any changes in Pure these will be visible here soon.

Personal profile

Ancillary activities

No ancillary activities

Ancillary activities are updated daily

Personal information

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). 

Fingerprint Dive into the research topics where Felicia Loecherbach is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Recommender systems Engineering & Materials Science
Field Experiment Mathematics
Recommender Systems Mathematics
Application programs Engineering & Materials Science
Recommendations Mathematics
Logic Mathematics
Testing Mathematics
Transparency Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2018 2019

  • 2 Conference contribution

Reading news with a purpose: Explaining user profiles for self-actualization

Sullivan, E., Bountouridis, D., Harambam, J. J., Najafian, S., Loecherbach, F., Makhortykh, M., Kelen, D., Wilkinson, D., Graus, D. & Tintarev, N., 6 Jun 2019, ACM UMAP 2019 Adjunct: Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery, Inc, p. 241-245 5 p. (ACM UMAP 2019 Adjunct - Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization).

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Recommender systems
Transparency
Processing

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. 8588712

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Field Experiment
Recommender Systems
Recommender systems
Application programs
Recommendations