Karin van Es
@kfvanes.bsky.social
270 followers 190 following 10 posts
Associate professor Media and Culture | Utrecht University | Coordinator Streaming video network | Platforms, Data & AI http://www.karinvanes.net/ | http://www.vodmethods.net
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kfvanes.bsky.social
My open access article: "Exploring Netflix myths: Towards more media industry studies and empirical research in studying video-on-demand" in Critical Studies in Television journals.sagepub.com/doi/10.1177/...
kfvanes.bsky.social
Our paper studying Netflix #datadonations is out. We reflect on the method and use computational methods to analyze trace data from 126 #Netflix subscribers to consider bingeing, popularity and diversity. journals.publishing.umich.edu/mij/article/...
Reposted by Karin van Es
gimko.bsky.social
Join my team: Postdoc: VR and Immersive Technologies - Postcolonial and Creative Approaches. Utrecht Universities, Department of Media and Culture Studies
DEADLINE: 23 April 2025

Part of the NWO project “VR As Empathy Machine led by Prof Sandra Ponzanesi
vrmigration.sites.uu.nl
tinyurl.com/26ndfw2n
Postdoc: VR and Immersive Technologies - Postcolonial and Creative Approaches
Do you want to critically investigate the role of VR as an immersive technology and its relation to emotions and embodiment and knowledge production? Join us!
tinyurl.com
Reposted by Karin van Es
Reposted by Karin van Es
christinebauer.bsky.social
Excited to see our paper, "Where Are the Values? A Systematic Literature Review on News Recommender Systems" (doi.org/10.1145/3654...), selected as a #TORS EIC Featured Article for 2024!

Great collaboration with @kfvanes.bsky.social 🚀📚

#ACMTORS #RecSys #News #vales #EXDIGIT #PLUS #UniSbg
TORS EIC Selected 2024 Featured Articles
ACM Transactions on Recommender Systems
Co-Editors-in-Chief
Li Chen, Hong Kong Baptist University, China Dietmar Jannach, University of Klagenfurt, Austria

ACM Transactions on Recommender Systems (TORS) publishes high quality papers that address various aspects of recommender systems research, from algorithms to the user experience, to questions of the impact and value of such systems, on a quarterly basis. The journal takes a holistic view on the field and calls for contributions from different subfields of computer science and information systems, such as machine learning, data mining, information retrieval, web-based systems, data science and big data, and human-computer interaction. Moreover, interdisciplinary research works are welcome as well. Such works may either be based on insights from related fields, e.g., marketing or psychology, or apply recommendation technology in novel application areas.

Recommender Systems

TORS EICs are pleased to announce the following 2024 Featured Articles:
Values into Recommender Systems: An Interdisciplinary Synthesis
Where Are the Values? A Systematic Literature Review on News Recommender Systems
Revisiting Bundle Recommendation for Intent-aware Product Bundling
Towards a Causal Decision-Making Framework for Recommender Systems
Assessing the Impact of Music Recommendation Diversity on Listeners: A Longitudinal Study
kfvanes.bsky.social
This AUP open access book edited with José van Dijck, Anne Helmond, and Fernando van der Vlist is coming soon. Very fortunate to be part of such a wonderful community at Utrecth University. www.aup.nl/en/book/9789...
kfvanes.bsky.social
Hurray my new publication with Dennis Nguyen is out in open access: www.cogitatiopress.com/mediaandcomm...
kfvanes.bsky.social
Today at the Streaming Video Network in Utrecht I am presenting research on data donations and Netflix more specifically. Exploring binge watching, diversity and popularity with 126 data donations from users in NL.
kfvanes.bsky.social
First read of 2025. So far, so good ... #dontbelievethehype #AI
kfvanes.bsky.social
My open access article: "Exploring Netflix myths: Towards more media industry studies and empirical research in studying video-on-demand" in Critical Studies in Television journals.sagepub.com/doi/10.1177/...
kfvanes.bsky.social
@mtschaefer.bsky.social and I are launching the open-access edited volume Collaborative Research in a Datafied Society (2024, AUP) in Utrecht on 22 Jan. 2025 15.30. More info and registration: cdh.uu.nl/events/book-...
Reposted by Karin van Es