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Dr. F. (Felicia) Loecherbach

Universitair Docent Politieke Communicatie en Journalistiek
Faculteit der Maatschappij- en Gedragswetenschappen
Programmagroep: Political Communication & Journalism
Expertisegebied: Nieuwsdiversiteit, computationele communicatiewetenschap, data donatie, aanbevelingssystemen
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  • Nieuwe Achtergracht 166
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  • Profiel

    Felicia Loecherbach is universitair docent bij de afdeling Communicatiewetenschap aan de Universiteit van Amsterdam. Ze is daarnaast Faculty Research Affiliate bij het Center for Social Media and Politics (CSMaP) aan New York University, waar ze van 2022 tot 2024 werkte als postdoctoraal onderzoeker. In 2023 promoveerde ze cum laude aan de Vrije Universiteit Amsterdam met haar proefschrift “Diversity of News Consumption in a Digital Information Environment.”
    Felicia was onder andere fellow aan het Weizenbaum Instituut in Berlijn en is actief binnen het Europese netwerk OPINION COST Action. Sinds 2024 is zij lid van het bestuur van het Digital Communication Methods Lab aan de UvA en vervult ze de rol van secretaris van de ICA Computational Methods Division (2025–2027). Ze geeft regelmatig onderwijs aan internationale trainingsprogramma’s, waaronder GESIS, en is medeorganisator van evenementen zoals de ICA-hackathon Opening up Communication Science.

    Onderwijs en onderzoek richten zich op

    • Nieuwsconsumptie, diversiteit en aanbevelingssystemen in digitale media
    • Data donatie en participantgerichte benaderingen van digitale sporen
    • Algorithmische en multimodale inhoudsanalyse, o.a. op TikTok en WhatsApp
    • Ethiek en duurzaamheid van (generatieve) AI-methoden in de communicatiewetenschap

    Onderzoeksexpertise

    • Computationele communicatiewetenschap
    • Politieke communicatie
    • Data donatie en digitale traceergegevens
    • Nieuwsdiversiteit en aanbevelingssystemen
    • Multimodale inhoudsanalyse
    • AI-ethiek en digitale methoden
    • Open science en onderzoeksinfrastructuur
    • TikTok, WhatsApp en visuele sociale media

    Mediaoptredens

  • Onderzoek

    Onderzoeksmethoden

    • (Geautomatiseerde) inhoudsanalyse (tekst, multimodaal)
    • Digitale dataverzameling (data donatie, tracking)
    • Audit van algoritmen
    • Ontwikkeling van onderzoekstools (bijv. experimenten)
    • Koppeling van enquêtes en digitale gegevens

    Lopende onderzoeksprojecten

    • RIGHTS (TDCC)

    Ontwikkeling van ethische, juridische en technische kaders voor het verantwoord verzamelen en delen van digitale sporen binnen FAIR en nationale infrastructuur.

    • TikTok-gebruik jongeren (AWESoMe)

    Analyse van via data donatie verzamelde TikTok-data van jongeren om invloed van traditionele waarden (zoals (Wo)Manosphere) op politieke attitudes te onderzoeken.

    • RESPOND (EU Horizon)

    Computational analyse van sociale-mediadiscours over corruptie in negen landen om veerkracht en risico’s in digitale democratieën in kaart te brengen.

    • NKO x YouTube Data Donatie

    Combinatie van YouTube-kijkdata via donatie-app en NKO-enquêtegegevens om politieke informatieblootstelling en personalisatie in Nederland te analyseren.

    • WhatsApp-nieuwsgebruik

    Onderzoek naar nieuwsconsumptie via WhatsApp aan de hand van participantgerichte data donaties, met focus op deelgedrag en informatiedynamiek.

    • Politiek op Wikipedia

    Analyse van politieke informatie op Wikipedia, met aandacht voor meertaligheid, editconflicten rond verkiezingen en implicaties voor representatie en publieke kennis.

    Onderzoek grants

    • KHMW Keetje Hodshon Prijs (2025) – Nationale dissertatieprijs in de geesteswetenschappen
    • VU Faculteitsprijs voor beste proefschrift (2024)
    • TDCC NWO Grant – RIGHTS (2025) – Co-aanvrager, €200.000, projectcoördinator
    • Teaching Innovation Grant – Responsible AI (2024), UvA, €2.500
    • Digital Communication Methods Lab Awards (2020, 2024) – Voor projecten over WhatsApp en mobiele nieuwsconsumptie
    • Winnaar – NPO Hackathon voor diversiteitsgerichte aanbevelingssystemen (2020)
       
  • Onderwijs
    • Big Data and Automated Content Analysis (Research Master)
    • Big Data II (Research Master)
    • Using R for Data Wrangling, Analysis, and Visualization (Research Master)
    • Applied Digital Citizen Science (Master)
    • Data Journalism (Master – Erasmus Mundus)
    • Digital Society Research Project (Bachelor – Minor)

    PhD begeleiding

    • Youri Coudron – Financial Challenges Facing Journalism (with Mark Boukes, Anke Wonneberger)
    • Liv van Roozendaal – Generative AI in Our Daily Lives: Unraveling the Trust-and-Use Calibration Dynamics (with Theo Araujo, Anne Kroon, Floor Fiers)
    • Brian Douwenga – Democracy by Design: How App Characteristics Shape Youth Political Worldviews (with Tom Dobbers, Linda Bos, Bert Bakker)
       
  • Publicaties

    2025

    • van Hoof, M., Trilling, D., Meppelink, C., Möller, J., & Loecherbach, F. (2025). Googling politics? Comparing five computational methods to identify political and news-related searches from web browser histories. Communication Methods and Measures, 19(1), 63-89. https://doi.org/10.1080/19312458.2024.2363776 [details]
    • van der Velden, M. A. C. G., Loecherbach, F., van Atteveldt, W., Fokkens, A., Reuver, M., & Welbers, K. (2025). Whose truth is it anyway? An experiment on annotation bias in times of factual opinion polarization. Communication Methods and Measures. Advance online publication. https://doi.org/10.1080/19312458.2025.2562034

    2024

    • Hase, V., Ausloos, J., Boeschoten, L., Pfiffner, N., Janssen, H., Araujo, T., Carrière, T., de Vreese, C., Haßler, J., Loecherbach, F., Kmetty, Z., Möller, J., Ohme, J., Schmidbauer, E., Struminskaya, B., Trilling, D., Welbers, K., & Haim, M. (2024). Fulfilling data access obligations: How could (and should) platforms facilitate data donation studies? Internet Policy Review, 13(3). https://doi.org/10.14763/2024.3.1793 [details]
    • Loecherbach, F., & Otto, L. (2024). Introduction to the Special Issue on Participant-Centered Behavioral Traces. Computational Communication Research, 6(2), 1-10. https://doi.org/10.5117/CCR2024.2.1.LOEC
    • Loecherbach, F., Moeller, J., Trilling, D., & van Atteveldt, W. (2024). What is news? Mapping the diversity of news experiences in digital trace data. Journalism. Advance online publication. https://doi.org/10.1177/14648849241303115
    • Otto, L. P., Loecherbach, F., & Vliegenthart, R. (2024). Linkage analysis revised–linking digital traces and survey data. Communication Methods and Measures, 18, 186-204. https://doi.org/10.1080/19312458.2023.2257595
    • Welbers, K., Loecherbach, F., Lin, Z., & Trilling, D. (2024). Anything you would like to share: Evaluating a data donation application in a survey and field study. Computational Communication Research, 6(2). https://doi.org/10.5117/CCR2024.2.5.WELB [details]

    2023

    • Moeller, J., Loecherbach, F., Möller, J., & Helberger, N. (2023). Out of control? Using interactive testing to understand user agency in news recommendation systems. In R. G. Lawrence, & P. M. Napoli (Eds.), News Quality in the Digital Age (pp. 117-133). (Media and Power). Routledge. https://doi.org/10.4324/9781003257998-11 [details]

    2022

    2021

    2020

    2019

    • Sullivan, E., Bountouridis, D., Harambam, J., Najafian, S., Loecherbach, F., Makhortykh, M., Kelen, D., Wilkinson, D., Graus, D., & Tintarev, N. (2019). Reading news with a purpose: Explaining user profiles for self-actualization. In ACM UMAP '19 adjunct: adjunct publication of the 27th Conference on User Modeling, Adaptation and Personalization : June 9-12, 2019, Larnaca, Cyprus (pp. 241-245). The Association for Computing Machinery. https://doi.org/10.1145/3314183.3323456 [details]

    2018

    • Löcherbach, F., & Trilling, D. (2018). 3bij3: A framework for testing effects of recommender systems on news exposure. In IEEE 14th International Conference on eScience: proceedings : 29 October-1 November 2018, Amsterdam, the Netherlands (pp. 350-351). IEEE Computer Society. https://doi.org/10.1109/eScience.2018.00093 [details]
    • Trilling, D., van de Velde, B., Kroon, A. C., Löcherbach, F., Araujo, T., Strycharz, J., Raats, T., de Klerk, L., & Jonkman, J. G. F. (2018). INCA: Infrastructure for content analysis. In IEEE 14th International Conference on eScience: proceedings : 29 October-1 November 2018, Amsterdam, the Netherlands (pp. 329-330). IEEE Computer Society. https://doi.org/10.1109/eScience.2018.00078 [details]

    2023

    • van Hoof, M., Trilling, D. C., Meppelink, C. S., Möller, J. E., & Loecherbach, F. (2023). Googling politics? The computational identification of political and news-related searches from web browser histories. Paper presented at International Conference on Computational Social Science, Copenhagen, Denmark.

    2022

    • Araujo, T., Ausloos, J., van Atteveldt, W., Loecherbach, F., Moeller, J., Ohme, J., Trilling, D., van de Velde, B., de Vreese, C., & Welbers, K. (2022). OSD2F: An Open-Source Data Donation Framework. Paper presented at the 72nd annual conference of the International Communication Association (ICA), 26-30 May 2022, Paris, France. https://doi.org/10.31235/osf.io/xjk6t
    • Loecherbach, F., Moeller, J., Trilling, D., & van Atteveldt, W. (2022). Don't miss the long tail: Website classification to identify local and niche news. Paper presented at the 72nd annual conference of the International Communication Association (ICA), 26-30 May 2022, Paris, France.
    • Loecherbach, F., Trilling, D., Moeller, J., & van Atteveldt, W. (2022). What is news? Applying institutionalized and audience-centered perspectives to the study of news diversity in digital trace data. Paper presented at Etmaal van de Communicatiewetenschap.

    2020

    • Loecherbach, F., Moeller, J., Trilling, D., & van Atteveldt, W. (2020). Unified framework of media diversity: A systematic literature review. Paper presented at International Communication Association (ICA), Gold Coast, Australia.
    • Loecherbach, F., Moeller, J., Trilling, D., van Atteveldt, W., & Helberger, N. (2020). Perceived control and satisfaction in news recommender systems. Paper presented at Etmaal van de Communicatiewetenschap 2020.
    • Loecherbach, F., Moeller, J., Trilling, D., van Atteveldt, W., & Helberger, N. (2020). Perceived control and satisfaction in news recommender systems. Poster session presented at International Communication Association (ICA), Gold Coast, Australia.
    • van Atteveldt, W., Kroon, A., Loecherbach, F., Steijaert, M., Strycharz, J., Trilling, D., van der Velden, M., & Welbers, K. (2020). Standardized research compendiums: Making open and transparent science fun and easy. Paper presented at International Communication Association (ICA), Gold Coast, Australia.

    2019

    • Kroon, A. C., Trilling, D., Fokkens, A., Loecherbach, F., Moeller, J., van der Velden, M. A. C. G., & van Atteveldt, W. (2019). Improving automated content analysis with news-specific word embeddings for medium-resourced languages. Paper presented at International Conference on Computational Social Science (IC2S2), Amsterdam, Netherlands.
    • Kroon, A., Trilling, D., Fokkens, A., Loecherbach, F., Moeller, J., van Atteveldt, W., & van der Velden, M. (2019). Deriving semantics from Dutch media corpora: The Amsterdam word embedding model. Abstract from Etmaal van de Communicatiewetenschap, Nijmegen.
    • Loecherbach, F., & Trilling, D. (2019). 3bij3 - a framework for testing effects of recommender systems on news exposure. Paper presented at International Communication Association (ICA), Washington, United States.
    • Loecherbach, F., & Trilling, D. (2019). 3bij3 -- A framework for testing effects of recommender systems on news exposure. Abstract from Etmaal van de Communicatiewetenschap, Nijmegen.
    • Loecherbach, F., & Trilling, D. (2019). It takes three to tango: The interplay of political press releases, Social media and newspapers. Paper presented at International Communication Association (ICA), Washington, United States.
    • Trilling, D., van Atteveldt, W., Loecherbach, F., & Möller, J. E. (2019). New ways to gather trace data: From tracking to takeout. Paper presented at European Political Science Association (EPSA), Belfast, United Kingdom.
    • van Atteveldt, W., Bogaardt, L., van Hees, V., Loecherbach, F., Moeller, J., & Trilling, D. (2019). Gathering mobile news consumption traces: An overview of possibilities and a prototype tool based on Google takeout. Abstract from Etmaal van de Communicatiewetenschap, Nijmegen.
    • van Atteveldt, W., Bogaardt, L., van Hees, V., Loecherbach, F., Möller, J. E., Trilling, D. C., & Welbers, K. (2019). Gathering mobile news consumption traces: An overview of possibilities and a prototype tool based on Google takeout. Abstract from International Communication Association (ICA), Washington, United States.

    2018

    • Loecherbach, F., & Trilling, D. C. (2018). It takes three to tango: The interplay of political press releases, Facebook, and press coverage in the Netherland. Abstract from Etmaal van de Communicatiewetenschap, Ghent, Belgium.

    2017

    • Schuck, A. R. T., Wonneberger, A., Meijers, M. H. C., & Loecherbach, F. (2017). Hoping for the best or fearing the worst? How emotions mediate effects of news coverage of the COP21 Paris Climate Summit. Paper presented at Etmaal van de Communicatiewetenschap.
    • Schuck, A. R. T., Wonneberger, A., Meijers, M. H. C., & Loecherbach, F. (2017). Who’s afraid of climate change? News coverage of the COP21 Paris climate summit and its effects on pro-environmental behavior. Paper presented at International Communication Association (ICA), San Diego, United States.
    • Wonneberger, A., Schuck, A. R. T., Meijers, M. H. C., & Loecherbach, F. (2017). Threat or efficacy? Effects of competitive media frames on climate change mitigation support. Abstract from COCE, Leicester, United Kingdom.

    2016

    • Schuck, A. R. T., Wonneberger, A., Meijers, M. H. C., & Loecherbach, F. (2016). Hoping for the best or fearing the worst? How emotions mediate effects of news coverage of the COP21 Paris Climate Summit. Paper presented at ECREA Conference 2016, Prague.

    Prijs / subsidie

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