Damian Trilling

Orcid: 0000-0002-2586-0352

According to our database1, Damian Trilling authored at least 23 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
LLM Agents Predict Social Media Reactions but Do Not Outperform Text Classifiers: Benchmarking Simulation Accuracy Using 120K+ Personas of 1511 Humans.
CoRR, April, 2026

2025
Are generative AI text annotations systematically biased?
CoRR, December, 2025

Incorporation of journalistic approaches into algorithm design.
CoRR, November, 2025

Surprise me! A Longitudinal User Study on Serendipitous Interface Design in News Recommender Systems.
Proceedings of the 12th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2025) co-located with 19th ACM Conference on Recommender Systems (RecSys 2025), 2025

Preface for the 1st Workshop on Semantic Generative Agents on the Web at ESWC 2025 (SemGenAge2025).
Proceedings of the Joint Proceedings of the ESWC 2025 Workshops and Tutorials co-located with 22nd Extended Semantic Web Conference (ESWC 2025), 2025

2024
Network toxicity analysis: an information-theoretic approach to studying the social dynamics of online toxicity.
J. Comput. Soc. Sci., April, 2024

Searching differently? How political attitudes impact search queries about political issues.
New Media Soc., 2024

It matters how you google it? Using agent-based testing to assess the impact of user choices in search queries and algorithmic personalization on political Google Search results.
J. Comput. Mediat. Commun., 2024

Fulfilling data access obligations: How could (and should) platforms facilitate data donation studies?
Internet Policy Rev., 2024

Contextualized Word Embeddings Expose Ethnic Biases in News.
Proceedings of the 16th ACM Web Science Conference, 2024

Perception versus Reality: Evaluating User Awareness of Political Selective Exposure in News Recommender Systems.
Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 2024

2023
Effects of an issue-based microtargeting campaign: A small-scale field experiment in a multi-party setting.
Inf. Soc., 2023

Refining Deliberative Standards for Online Political Communication: Introducing a Summative Approach to Designing Deliberative Recommender Systems.
Proceedings of the First Workshop on the Normative Design and Evaluation of Recommender Systems (NORMalize 2023) co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

Enabling Serendipitous News Discovery Experiences by Designing for Navigable Surprise.
Proceedings of the First Workshop on the Normative Design and Evaluation of Recommender Systems (NORMalize 2023) co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

Beyond Discrete Genres: Mapping News Items onto a Multidimensional Framework of Genre Cues.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

Understanding How News Recommender Systems Influence Selective Exposure.
Proceedings of the International Workshop on Behavior Change and Persuasive Recommender Systems co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

2021
Understanding the link between audience engagement metrics and the perceived quality of online news using machine learning.
Web Intell., 2021

Is this a click towards diversity? Explaining when and why news users make diverse choices.
Proceedings of the WebSci '21: 13th ACM Web Science Conference 2021, 2021

2019
Spiraling downward: The reciprocal relation between attitude toward political behavioral targeting and privacy concerns.
New Media Soc., 2019

Opening the black box of perceived quality: Predicting endorsement on a blog site.
Proceedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence, 2019

2018
INCA: Infrastructure for Content Analysis.
Proceedings of the 14th IEEE International Conference on e-Science, 2018

3bij3: A Framework for Testing Effects of Recommender Systems on News Exposure.
Proceedings of the 14th IEEE International Conference on e-Science, 2018

2017
Political relevance in the eye of the beholder: Determining the substantiveness of TV shows and political debates with Twitter data.
First Monday, 2017


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