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NL

Ms S.A.M. (Susan) Vermeer MSc

Faculty of Social and Behavioural Sciences
CW : Political Communication & Journalism

Visiting address
  • Nieuwe Achtergracht 166
  • Room number: C8.00
Postal address
  • Postbus 15791
    1001 NG Amsterdam
Contact details
Social media
  • PhD Project

    News for you! News consumption in a world of news sites, algorithms, and social media.

    Who is exposed to what kind of news? Citizens, especially younger adults, are increasingly and predominantly using online and social media to get informed about the world around them. They are often directed to news via their social networks (e.g., Facebook) and via algorithmic news recommender systems. By analysing citizens in an online media ecosystem, this project tackles the question how content features, consumer features and context features interact in shaping news exposure and, ultimately, political interest and political participation. By doing so, we aim to better understand news use, the existence of echo chambers and filter bubbles, and their effect in the evolving media landscape.

     

  • Publications

    2019

    • Vermeer, S. A. M., Araujo, T. B., Bernritter, S. F., & van Noort, G. (Accepted/In press). Seeing the wood for the trees: How machine learning can help firms in identifying relevant electronic word-of-mouth in social media. International Journal of Research in Marketing. DOI: 10.1016/j.ijresmar.2019.01.010 

    2017

    • Vermeer, S., Remmelswaal, P., & Jacobs, S. (2017). Heineken in the House: Improving Online Media Reputation through Featuring a Sponsored Brand Community. Communication Management Review, 2(1), 76-103. DOI: 10.22522/cmr20170117  [details] 

    2018

    2019

    • Vermeer, S. A. M., Trilling, D. C., Kruikemeier, S., & de Vreese, C. H. (2019). Pathways through the online maze: Exploring patterns of online news consumption in the Netherlands by tracking Web behavior. Abstract from Etmaal van de Communicatiewetenschap, Nijmegen, Netherlands.

    2017

    • Vermeer, S., Araujo, T. B., van Noort, G., & Bernritter, S. F. (2017). Getting a handle on webcare: Comparing automated content analysis techniques to detect eWOM messages. Abstract from ICORIA, Ghent, Belgium.
    • Vermeer, S., Araujo, T. B., van Noort, G., & Bernritter, S. F. (2017). Webcare as a well-oiled machine: A machine learning approach to identify eWOM messages that require a webcare response. Abstract from Etmaal 2017: , Tilburg , Netherlands.
    This list of publications is extracted from the UvA-Current Research Information System. Questions? Ask the library  or the Pure staff  of your faculty / institute. Log in to Pure  to edit your publications. Log in to Personal Page Publication Selection tool  to manage the visibility of your publications on this list.
  • Ancillary activities
    • No ancillary activities