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Comprehensive Viewpoint Representations for a Deeper Understanding of User Interactions With Debated Topics.

, , , , and . CHIIR, page 135-145. ACM, (2022)

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Understanding the Role of Explanation Modality in AI-assisted Decision-making., , and . UMAP, page 223-233. ACM, (2022)Framing is Mightier than the Sword: Detection of Episodic and Thematic Framing in News Media., , , , , , , , , and . Hum. Comput., 11 (1): 1-28 (2024)Studying Topical Relevance with Evidence-based Crowdsourcing., , , , , , , and . CIKM, page 1253-1262. ACM, (2018)Machine-Crowd Annotation Workflow for Event Understanding Across Collections and Domains.. ESWC, volume 9678 of Lecture Notes in Computer Science, page 813-823. Springer, (2016)Aligning Object Detector Bounding Boxes with Human Preference., , , , and . CoRR, (2024)Humans Disagree With the IoU for Measuring Object Detector Localization Error., , , , and . ICIP, page 1261-1265. IEEE, (2022)Optimizing Explorative Search for the Needs of Media Professionals: The DIVE+ Use Case., , , and . SEMANTiCS (Workshops), volume 2063 of CEUR Workshop Proceedings, CEUR-WS.org, (2017)Event Extraction From Radio News Bulletins., , , and . SEMANTiCS (Workshops), volume 2063 of CEUR Workshop Proceedings, CEUR-WS.org, (2017)Crowdsourcing Inclusivity: Dealing with Diversity of Opinions, Perspectives and Ambiguity in Annotated Data., , , , , and . WWW (Companion Volume), page 1294-1295. ACM, (2019)QUARE: 1st Workshop on Measuring the Quality of Explanations in Recommender Systems., , , , and . SIGIR, page 3478-3481. ACM, (2022)