Dr. Alisa Rieger

GESIS – Leibniz Institute for the Social Sciences, Cologne


Publications

2025^

  • Alisa Rieger, Stefan Dietze, and Ran Yu. 2025. A Research Vision for Web Search on Emerging Topics. In RobustIR@SIGIR25: The First Workshop on Robust Information Retrieval, July, 2025. preprint

2024^

  • Alisa Rieger. 2024. Striving for Responsible Opinion Formation in Web Search on Debated Topics. Ph.D. Dissertation. TU Delft, Delft, Netherlands. doi
  • Alisa Rieger, Suleiman Kulane, Ujwal Gadiraju, and Maria Soledad Pera. 2024. Disentangling Web Search on Debated Topics: A User-Centered Exploration. In 32nd ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2024), July, 2024. ACM, 24–35. doi
  • Francesco Barile, Tim Draws, Oana Inel, Alisa Rieger, Shabnam Najafian, Amir Ebrahimi Fard, Rishav Hada, and Nava Tintarev. 2024. Evaluating Explainable Social Choice-Based Aggregation Strategies for Group Recommendation. User Modeling and User-Adapted Interaction 34, 1 (June 2024), 1–58. doi
  • Alisa Rieger, Frank Bredius, Mariët Theune, and Maria Soledad Pera. 2024. From Potential to Practice: Intellectual Humility During Search on Debated Topics. In 9th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2024), March, 2024. ACM, 130–141. doi
  • Alisa Rieger, Tim Draws, Nicolas Mattis, David Maxwell, David Elsweiler, Ujwal Gadiraju, Dana McKay, Alessandro Bozzon, and Maria Soledad Pera. 2024. Responsible Opinion Formation on Debated Topics in Web Search. In Advances in Information Retrieval - 46th European Conference on Information Retrieval (ECIR 2024), March, 2024. Springer, 437–465. doi
  • Alisa Rieger, Tim Draws, Mariët Theune, and Nava Tintarev. 2024. Nudges to Mitigate Confirmation Bias during Web Search on Debated Topics: Support vs. Manipulation. ACM Transactions on the Web 18, 2 (March 2024), 1–27. doi

2023^

  • Zhangyi Wu, Tim Draws, Federico Cau, Francesco Barile, Alisa Rieger, and Nava Tintarev. 2023. Explaining Search Result Stances to Opinionated People. In Explainable Artificial Intelligence - First World Conference (xAI 2023), October, 2023. Springer, 573–596. doi
  • Alisa Rieger, Frank Bredius, Nava Tintarev, and Maria Soledad Pera. 2023. Searching for the Whole Truth: Harnessing the Power of Intellectual Humility to Boost Better Search on Debated Topics. In 2023 CHI Conference on Human Factors in Computing Systems (CHI 2023), April, 2023. ACM, 1–8. doi
  • Tim Draws, Nirmal Roy, Oana Inel, Alisa Rieger, Rishav Hada, Mehmet Orcun Yalcin, Benjamin Timmermans, and Nava Tintarev. 2023. Viewpoint Diversity in Search Results. In Advances in Information Retrieval - 45th European Conference on Information Retrieval (ECIR 2023), April, 2023. Springer, 279–297. doi

2022^

  • Alisa Rieger, Qurat-ul-ain Shaheen, Carles Sierra, Mariët Theune, and Nava Tintarev. 2022. Towards Healthy Engagement with Online Debates: An Investigation of Debate Summaries and Personalized Persuasive Suggestions. In 30th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2022), July, 2022. ACM, 192–199. doi
  • Alisa Rieger. 2022. Interactive Interventions to Mitigate Cognitive Bias. In 30th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2022), July, 2022. ACM, 316–320. doi
  • Alejandra Bringas Colmenarejo, Luca Nannini, Alisa Rieger, Kristen M. Scott, Xuan Zhao, Gourab K. Patro, Gjergji Kasneci, and Katharina Kinder-Kurlanda. 2022. Fairness in Agreement With European Values: An Interdisciplinary Perspective on AI Regulation. In AAAI/ACM Conference on AI, Ethics, and Society (AIES 2022), May, 2022. ACM, 107–118. doi

2021^

  • Tim Draws, Alisa Rieger, Oana Inel, Ujwal Gadiraju, and Nava Tintarev. 2021. A Checklist to Combat Cognitive Biases in Crowdsourcing. In 9th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2021), October, 2021. AAAI Press, 48–59. doi
  • Francesco Barile, Shabnam Najafian, Tim Draws, Oana Inel, Alisa Rieger, Rishav Hada, and Nava Tintarev. 2021. Toward Benchmarking Group Explanations: Evaluating the Effect of Aggregation Strategies versus Explanation. In Perspectives on the Evaluation of Recommender Systems Workshop 2021 co-located with the 15th ACM Conference on Recommender Systems (RecSys 2021), September, 2021. CEUR-WS.org.
  • Alisa Rieger, Tim Draws, Mariët Theune, and Nava Tintarev. 2021. This Item Might Reinforce Your Opinion: Obfuscation and Labeling of Search Results to Mitigate Confirmation Bias. In 32nd ACM Conference on Hypertext and Social Media (HT 2021), August, 2021. ACM, 189–199. doi

2020^

  • Alisa Rieger, Mariët Theune, and Nava Tintarev. 2020. Toward Natural Language Mitigation Strategies for Cognitive Biases in Recommender Systems. In 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence (NL4XAI@INGL 2020), December, 2020. Association for Computational Linguistics, 50–54.

2019^

  • Laurianne Charrier, Alisa Rieger, Alexandre Galdeano, Amélie Cordier, Mathieu Lefort, and Salima Hassas. 2019. The RoPE Scale: a Measure of How Empathic a Robot is Perceived. In 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2019), March, 2019. IEEE, 656–657. doi

Events

2026^

  • INFUSE @ ECIR2026
    Workshop. First Workshop on INFormation access in Uncertainty ScEnarios (INFUSE 2026), held in conjunction with the 48th European Conference on Information Retrieval (ECIR 2026), co-organized by Alisa Rieger, Amir Ebrahimi Fard, Johanne Trippas, Nicolas Mattis, and Ran Yu. Delft, Netherlands.