Algorithmed Public Spheres

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Publications

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. https://doi.org/10.1177/0894439319828012

Puschmann, C. (2018). Beyond the bubble: Assessing the diversity of political search results. Digital Journalism. https://doi.org/10.1080/21670811.2018.1539626

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. https://doi.org/10.1016/j.tele.2018.07.004

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). https://doi.org/10.1177/2056305118797724 

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. https://doi.org/10.1007/s10791-018-9341-2

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. https://doi.org/10.1177/1354856518790203