Ms S.A.M. (Susan) Vermeer MSc
- Nieuwe Achtergracht 166
- Room number: C8.00
- Postbus 15791
1001 NG Amsterdam
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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.
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Publications
2019
- Vermeer, S. A. M., Araujo, T. B., Bernritter, S. F., & van Noort, G. (2019). 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. https://doi.org/10.1016/j.ijresmar.2019.01.010
- Vermeer, S. A. M., & Araujo, T. B. (2019). Keep the ball rolling: Information diffusion within large sports-related networks through social mediators. Communication & Sport. https://doi.org/10.1177/2167479519841868
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
- Vermeer, S. (Author). (2018). A supervised machine learning method to classify Dutch-language news items. Software, Retrieved from https://figshare.com/articles/A_supervised_machine_learning_method_to_classify_Dutch-language_news_items/7314896/1
2019
- Vermeer, S. A. M. (Author). (2019). Voetbal op social media: Wie brengt de bal aan het rollen?. Web publication/site, Stichting Wetenschappelijk Onderzoek Commerciële Communicatie (SWOCC).
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.
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Ancillary activities
- No ancillary activities
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: