Algorithmed Public Spheres



Möller, J., van de Velde, R. N., Merten, L., & Puschmann, C. (2019). Explaining online news engagement based on browsing behavior: Creatures of habit? Social Science Computer Review.

Puschmann, C. (2018). Beyond the bubble: Assessing the diversity of political search results. Digital Journalism.

Möller, J., Trilling, D., Helberger, N., & van Es, B. (2018). Do not blame it on the algorithm: An empirical assessment of multiple recommender systems and their impact on content diversity. Information Communication and Society, 21(7), 959-977. https://10.1080/1369118X.2018.1444076

Courtois, C., Slechten, L., & Coenen, L. (2018). Challenging Google Search filter bubbles in social and political information: Disconforming evidence from a digital methods case study. Telematics and Informatics, 35(7), 2006–2015.

Puschmann, C., & Powell, A. (2018). Turning words into consumer preferences: How sentiment analysis is framed in research and the news media. Social Media + Society, 4(3). 

Kulshrestha, J., Eslami, M., Messias, J., Zafar, M. B., Ghosh, S., Gummadi, K. P., & Karahalios, K. (2018). Search bias quantification: investigating political bias in social media and web search. Information Retrieval Journal.

Sørensen, J. K., & den Bulck, H. V. (2018). Public service media online, advertising and the third-party user data business: A trade versus trust dilemma? Convergence.