[{"keyword":["Large Language Model Mediation","Explainable AI","Decision Co- Pilot Systems","Misinformation Detection"],"_id":"13730","publication_identifier":{"isbn":["979-8-4007-2492-3"]},"corporate_editor":["ACM Press"],"citation":{"ama":"Grimm V, Rubart J, Herder E, Röcker C. <i>LLM-Mediated XAI Explanations: An AI Advisor for Fast and Calibrated Judgments on Potential Misinformation</i>. (Balke WT, Plötzky F, Spaniol M, et al., eds.). ACM; 2026:110-116. doi:<a href=\"https://doi.org/10.1145/3795513.3810452\">https://doi.org/10.1145/3795513.3810452</a>","ufg":"<b>Grimm, Valentin u. a.</b>: LLM-Mediated XAI Explanations: An AI Advisor for Fast and Calibrated Judgments on Potential Misinformation, hg. von Balke, Wolf-Tilo u. a., New York, USA 2026.","ieee":"V. Grimm, J. Rubart, E. Herder, and C. Röcker, <i>LLM-Mediated XAI Explanations: An AI Advisor for Fast and Calibrated Judgments on Potential Misinformation</i>. New York, USA: ACM, 2026, pp. 110–116. doi: <a href=\"https://doi.org/10.1145/3795513.3810452\">https://doi.org/10.1145/3795513.3810452</a>.","bjps":"<b>Grimm V <i>et al.</i></b> (2026) <i>LLM-Mediated XAI Explanations: An AI Advisor for Fast and Calibrated Judgments on Potential Misinformation</i>, Balke W-T et al. (eds). New York, USA: ACM.","mla":"Grimm, Valentin, et al. “LLM-Mediated XAI Explanations: An AI Advisor for Fast and Calibrated Judgments on Potential Misinformation.” <i>WebSci Companion ’26: Companion Publication of the 2026 18th ACM Web Science Conference</i>, edited by Wolf-Tilo Balke et al., ACM, 2026, pp. 110–16, <a href=\"https://doi.org/10.1145/3795513.3810452\">https://doi.org/10.1145/3795513.3810452</a>.","van":"Grimm V, Rubart J, Herder E, Röcker C. LLM-Mediated XAI Explanations: An AI Advisor for Fast and Calibrated Judgments on Potential Misinformation. Balke WT, Plötzky F, Spaniol M, Herder E, Manikonda L, Liu H, et al., editors. WebSci Companion ’26: Companion Publication of the 2026 18th ACM Web Science Conference. New York, USA: ACM; 2026.","apa":"Grimm, V., Rubart, J., Herder, E., &#38; Röcker, C. (2026). LLM-Mediated XAI Explanations: An AI Advisor for Fast and Calibrated Judgments on Potential Misinformation. In W.-T. Balke, F. Plötzky, M. Spaniol, E. Herder, L. Manikonda, H. Liu, L.-D. Ibáñez, R. Rezapour, &#38; ACM Press (Eds.), <i>WebSci Companion ’26: Companion Publication of the 2026 18th ACM Web Science Conference</i> (pp. 110–116). ACM. <a href=\"https://doi.org/10.1145/3795513.3810452\">https://doi.org/10.1145/3795513.3810452</a>","chicago":"Grimm, Valentin, Jessica Rubart, Eelco Herder, and Carsten Röcker. <i>LLM-Mediated XAI Explanations: An AI Advisor for Fast and Calibrated Judgments on Potential Misinformation</i>. Edited by Wolf-Tilo Balke, Florian Plötzky, Marc Spaniol, Eelco Herder, Lydia Manikonda, Haiming Liu, Luis-Daniel Ibáñez, Rezvaneh Rezapour, and ACM Press. <i>WebSci Companion ’26: Companion Publication of the 2026 18th ACM Web Science Conference</i>. New York, USA: ACM, 2026. <a href=\"https://doi.org/10.1145/3795513.3810452\">https://doi.org/10.1145/3795513.3810452</a>.","short":"V. Grimm, J. Rubart, E. Herder, C. Röcker, LLM-Mediated XAI Explanations: An AI Advisor for Fast and Calibrated Judgments on Potential Misinformation, ACM, New York, USA, 2026.","chicago-de":"Grimm, Valentin, Jessica Rubart, Eelco Herder und Carsten Röcker. 2026. <i>LLM-Mediated XAI Explanations: An AI Advisor for Fast and Calibrated Judgments on Potential Misinformation</i>. Hg. von Wolf-Tilo Balke, Florian Plötzky, Marc Spaniol, Eelco Herder, Lydia Manikonda, Haiming Liu, Luis-Daniel Ibáñez, Rezvaneh Rezapour, und ACM Press. <i>WebSci Companion ’26: Companion Publication of the 2026 18th ACM Web Science Conference</i>. New York, USA: ACM. doi:<a href=\"https://doi.org/10.1145/3795513.3810452\">https://doi.org/10.1145/3795513.3810452</a>, .","havard":"V. Grimm, J. Rubart, E. Herder, C. Röcker, LLM-Mediated XAI Explanations: An AI Advisor for Fast and Calibrated Judgments on Potential Misinformation, ACM, New York, USA, 2026.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Grimm, Valentin</span> ; <span style=\"font-variant:small-caps;\">Rubart, Jessica</span> ; <span style=\"font-variant:small-caps;\">Herder, Eelco</span> ; <span style=\"font-variant:small-caps;\">Röcker, Carsten</span> ; <span style=\"font-variant:small-caps;\"><span style=\"font-variant:small-caps;\">Balke, W.-T.</span> ; <span style=\"font-variant:small-caps;\">Plötzky, F.</span> ; <span style=\"font-variant:small-caps;\">Spaniol, M.</span> ; <span style=\"font-variant:small-caps;\">Herder, E.</span> ; <span style=\"font-variant:small-caps;\">Manikonda, L.</span> ; <span style=\"font-variant:small-caps;\">Liu, H.</span> ; <span style=\"font-variant:small-caps;\">Ibáñez, L.-D.</span> ; <span style=\"font-variant:small-caps;\">Rezapour, R.</span> ; u. a.</span> (Hrsg.): <i>LLM-Mediated XAI Explanations: An AI Advisor for Fast and Calibrated Judgments on Potential Misinformation</i>. New York, USA : ACM, 2026"},"page":"110-116","status":"public","place":"New York, USA","publication_status":"published","doi":"https://doi.org/10.1145/3795513.3810452","user_id":"83781","type":"conference_editor_article","quality_controlled":"1","date_updated":"2026-05-27T11:08:52Z","conference":{"end_date":"2026-05-26","start_date":"2026-05-26","name":"18th ACM Web Science Conference ; WebSci Companion '26","location":"Braunschweig"},"date_created":"2026-05-05T16:16:34Z","publisher":"ACM","abstract":[{"text":"This paper introduces an LLM-mediated AI Advisor that contextualizes and synthesizes heterogeneous explainable AI (XAI) outputs to support fast and calibrated misinformation judgments in time-sensitive social media settings. We define LLM-mediated XAI as a process in which a large language model aggregates, prioritizes, and translates heterogeneous XAI outputs into a context-sensitive explanation tailored to the user’s decision situation. Semantic features, XAI modules and LLM-based summarization and synthesis enable the generation of explanations that are adapted in three ways: compressed for time-efficient decisions, translated into non-technical language, and progressively expandable for deeper inspection. Through a mixed-methods user study, including a quantitative study and a qualitative study, we analyze how users interpret, challenge and strategically rely on LLM-mediated explanations during real-world misinformation assessment tasks. The findings indicate that the approach reduces time-to-decision and supports critical inspection without inducing over-reliance. Progressive disclosure and different techniques to present information favored different user needs while conversational functionality was rarely used due to unclear benefits and fear of confusion.","lang":"eng"}],"author":[{"first_name":"Valentin","id":"74000","last_name":"Grimm","full_name":"Grimm, Valentin"},{"full_name":"Rubart, Jessica","first_name":"Jessica","id":"45672","last_name":"Rubart","orcid":"0000-0003-0937-3551"},{"full_name":"Herder, Eelco","first_name":"Eelco","last_name":"Herder"},{"full_name":"Röcker, Carsten","last_name":"Röcker","id":"61525","first_name":"Carsten"}],"editor":[{"first_name":"Wolf-Tilo","last_name":"Balke","full_name":"Balke, Wolf-Tilo"},{"full_name":"Plötzky, Florian","first_name":"Florian","last_name":"Plötzky"},{"full_name":"Spaniol, Marc","last_name":"Spaniol","first_name":"Marc"},{"last_name":"Herder","first_name":"Eelco","full_name":"Herder, Eelco"},{"full_name":"Manikonda, Lydia","last_name":"Manikonda","first_name":"Lydia"},{"first_name":"Haiming","last_name":"Liu","full_name":"Liu, Haiming"},{"full_name":"Ibáñez, Luis-Daniel","first_name":"Luis-Daniel","last_name":"Ibáñez"},{"first_name":"Rezvaneh","last_name":"Rezapour","full_name":"Rezapour, Rezvaneh"}],"title":"LLM-Mediated XAI Explanations: An AI Advisor for Fast and Calibrated Judgments on Potential Misinformation","department":[{"_id":"DEP5023"}],"language":[{"iso":"eng"}],"publication":"WebSci Companion '26: Companion Publication of the 2026 18th ACM Web Science Conference","year":"2026"}]