Ms S.A.M. (Susan) Vermeer MSc
Faculty of Social and Behavioural Sciences
CW : Political Communication & Journalism
Nieuwe Achtergracht 166 Room number: C8.00
1001 NG Amsterdam
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.
- Vermeer, S., Araujo, T., Van Noort, G. & Bernritter, S. (2017, June). Getting a handle on webcare: Comparing automated content analysis techniques to detect eWOM messages. Paper presented at ICORIA, Ghent, Belgium.
- Vermeer, S., Araujo, T., Van Noort, G. & Bernritter, S. (2017, January). Webcare as a well-oiled machine: A machine learning approach to identify eWOM messages that require a webcare response. Paper presented at the Etmaal van de Communicatiewetenschap, Tilburg, The Netherlands.
- No ancillary activities