[{"page":"110-116","department":[{"_id":"DEP5023"},{"_id":"DEP8008"},{"_id":"DEP5027"}],"title":"LLM-Mediated XAI Explanations: An AI Advisor for Fast and Calibrated Judgments on Potential Misinformation","quality_controlled":"1","year":"2026","citation":{"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>","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","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.","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>, .","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.","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>","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>.","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.","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.","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>.","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.","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>."},"publisher":"ACM","corporate_editor":["ACM Press"],"publication_status":"published","publication":"WebSci Companion '26: Companion Publication of the 2026 18th ACM Web Science Conference","date_created":"2026-05-05T16:16:34Z","_id":"13730","author":[{"id":"74000","last_name":"Grimm","first_name":"Valentin","full_name":"Grimm, Valentin"},{"orcid":"0000-0003-0937-3551","full_name":"Rubart, Jessica","first_name":"Jessica","id":"45672","last_name":"Rubart"},{"first_name":"Eelco","full_name":"Herder, Eelco","last_name":"Herder"},{"full_name":"Röcker, Carsten","first_name":"Carsten","last_name":"Röcker","id":"61525"}],"abstract":[{"lang":"eng","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."}],"keyword":["Large Language Model Mediation","Explainable AI","Decision Co- Pilot Systems","Misinformation Detection"],"type":"conference_editor_article","date_updated":"2026-07-02T10:16:02Z","place":"New York, USA","status":"public","publication_identifier":{"isbn":["979-8-4007-2492-3"]},"user_id":"89807","language":[{"iso":"eng"}],"editor":[{"last_name":"Balke","full_name":"Balke, Wolf-Tilo","first_name":"Wolf-Tilo"},{"last_name":"Plötzky","full_name":"Plötzky, Florian","first_name":"Florian"},{"full_name":"Spaniol, Marc","first_name":"Marc","last_name":"Spaniol"},{"last_name":"Herder","first_name":"Eelco","full_name":"Herder, Eelco"},{"last_name":"Manikonda","first_name":"Lydia","full_name":"Manikonda, Lydia"},{"full_name":"Liu, Haiming","first_name":"Haiming","last_name":"Liu"},{"first_name":"Luis-Daniel","full_name":"Ibáñez, Luis-Daniel","last_name":"Ibáñez"},{"full_name":"Rezapour, Rezvaneh","first_name":"Rezvaneh","last_name":"Rezapour"}],"doi":"https://doi.org/10.1145/3795513.3810452","conference":{"start_date":"2026-05-26","location":"Braunschweig","name":"18th ACM Web Science Conference ; WebSci Companion '26","end_date":"2026-05-26"}},{"type":"conference_editor_article","keyword":["misinformation","fake news","large language models","online social networks"],"main_file_link":[{"url":"https://dl.acm.org/doi/full/10.1145/3748699.3749798","open_access":"1"}],"place":"New York, NY, USA","date_updated":"2026-03-24T10:01:35Z","user_id":"83781","publication_identifier":{"isbn":["979-8-4007-2089-5"]},"status":"public","doi":"10.1145/3748699.3749798","conference":{"location":"Antwerp, Belgium","start_date":"2025-09-03","end_date":"2025-09-05","name":"GoodIT '25"},"language":[{"iso":"eng"}],"editor":[{"full_name":"Marquez-Barja, Johann","first_name":"Johann","last_name":"Marquez-Barja"},{"last_name":"Bujari","full_name":"Bujari, Armir","first_name":"Armir"},{"full_name":"Slamnik-Kriještorac, Nina","first_name":"Nina","last_name":"Slamnik-Kriještorac"},{"first_name":"Andrea","full_name":"Sabbioni, Andrea","last_name":"Sabbioni"}],"oa":"1","title":"Preventing Accidental Sharing of Misinformation Using Large Language Models","department":[{"_id":"DEP8008"}],"page":"244 - 252","publication_status":"published","publisher":"ACM","corporate_editor":["Association for Computing Machinery"],"citation":{"ufg":"<b>Franco, Mirko/Grimm, Valentin/Herder, Eelco</b>: Preventing Accidental Sharing of Misinformation Using Large Language Models, hg. von Marquez-Barja, Johann u. a., New York, NY, USA 2025.","chicago":"Franco, Mirko, Valentin Grimm, and Eelco Herder. <i>Preventing Accidental Sharing of Misinformation Using Large Language Models</i>. Edited by Johann Marquez-Barja, Armir Bujari, Nina Slamnik-Kriještorac, Andrea Sabbioni, and Association for Computing Machinery. <i>Proceedings of the 2025 International Conference on Information Technology for Social Good</i>. New York, NY, USA: ACM, 2025. <a href=\"https://doi.org/10.1145/3748699.3749798\">https://doi.org/10.1145/3748699.3749798</a>.","mla":"Franco, Mirko, et al. “Preventing Accidental Sharing of Misinformation Using Large Language Models.” <i>Proceedings of the 2025 International Conference on Information Technology for Social Good</i>, edited by Johann Marquez-Barja et al., ACM, 2025, pp. 244–52, <a href=\"https://doi.org/10.1145/3748699.3749798\">https://doi.org/10.1145/3748699.3749798</a>.","ieee":"M. Franco, V. Grimm, and E. Herder, <i>Preventing Accidental Sharing of Misinformation Using Large Language Models</i>. New York, NY, USA: ACM, 2025, pp. 244–252. doi: <a href=\"https://doi.org/10.1145/3748699.3749798\">10.1145/3748699.3749798</a>.","ama":"Franco M, Grimm V, Herder E. <i>Preventing Accidental Sharing of Misinformation Using Large Language Models</i>. (Marquez-Barja J, Bujari A, Slamnik-Kriještorac N, Sabbioni A, Association for Computing Machinery, eds.). ACM; 2025:244-252. doi:<a href=\"https://doi.org/10.1145/3748699.3749798\">10.1145/3748699.3749798</a>","short":"M. Franco, V. Grimm, E. Herder, Preventing Accidental Sharing of Misinformation Using Large Language Models, ACM, New York, NY, USA, 2025.","bjps":"<b>Franco M, Grimm V and Herder E</b> (2025) <i>Preventing Accidental Sharing of Misinformation Using Large Language Models</i>, Marquez-Barja J et al. (eds). New York, NY, USA: ACM.","chicago-de":"Franco, Mirko, Valentin Grimm und Eelco Herder. 2025. <i>Preventing Accidental Sharing of Misinformation Using Large Language Models</i>. Hg. von Johann Marquez-Barja, Armir Bujari, Nina Slamnik-Kriještorac, Andrea Sabbioni, und Association for Computing Machinery. <i>Proceedings of the 2025 International Conference on Information Technology for Social Good</i>. New York, NY, USA: ACM. doi:<a href=\"https://doi.org/10.1145/3748699.3749798\">10.1145/3748699.3749798</a>, .","van":"Franco M, Grimm V, Herder E. Preventing Accidental Sharing of Misinformation Using Large Language Models. Marquez-Barja J, Bujari A, Slamnik-Kriještorac N, Sabbioni A, Association for Computing Machinery, editors. Proceedings of the 2025 International Conference on Information Technology for Social Good. New York, NY, USA: ACM; 2025.","apa":"Franco, M., Grimm, V., &#38; Herder, E. (2025). Preventing Accidental Sharing of Misinformation Using Large Language Models. In J. Marquez-Barja, A. Bujari, N. Slamnik-Kriještorac, A. Sabbioni, &#38; Association for Computing Machinery (Eds.), <i>Proceedings of the 2025 International Conference on Information Technology for Social Good</i> (pp. 244–252). ACM. <a href=\"https://doi.org/10.1145/3748699.3749798\">https://doi.org/10.1145/3748699.3749798</a>","havard":"M. Franco, V. Grimm, E. Herder, Preventing Accidental Sharing of Misinformation Using Large Language Models, ACM, New York, NY, USA, 2025.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Franco, Mirko</span> ; <span style=\"font-variant:small-caps;\">Grimm, Valentin</span> ; <span style=\"font-variant:small-caps;\">Herder, Eelco</span> ; <span style=\"font-variant:small-caps;\">Marquez-Barja, J.</span> ; <span style=\"font-variant:small-caps;\">Bujari, A.</span> ; <span style=\"font-variant:small-caps;\">Slamnik-Kriještorac, N.</span> ; <span style=\"font-variant:small-caps;\">Sabbioni, A.</span> ; <span style=\"font-variant:small-caps;\">Association for Computing Machinery</span> (Hrsg.): <i>Preventing Accidental Sharing of Misinformation Using Large Language Models</i>. New York, NY, USA : ACM, 2025"},"year":"2025","quality_controlled":"1","publication":"Proceedings of the 2025 International Conference on Information Technology for Social Good","author":[{"first_name":"Mirko","full_name":"Franco, Mirko","last_name":"Franco"},{"last_name":"Grimm","id":"74000","first_name":"Valentin","full_name":"Grimm, Valentin"},{"last_name":"Herder","full_name":"Herder, Eelco","first_name":"Eelco"}],"abstract":[{"lang":"eng","text":"The proliferation of misinformation is one of the most pressing challenges in today’s digital landscape, due to its far-reaching implications for public health, economic stability, trust in governmental institutions, and societal cohesion. Despite efforts to regulate online platforms and limit the spread of misinformation, many individuals are left behind because of their low digital literacy, level of education, and other contributing factors. In this context, we explore the use of Large Language Models (LLMs) to identify misinformation and we evaluate the capabilities of GPT-4.1-mini, as a representative example of these models. We then discuss how LLMs can help empower users to critically create and share information, thereby fostering more resilient online communities. We also present a set of possible interaction patterns for content creation and moderation."}],"date_created":"2026-03-20T12:55:35Z","_id":"13529"}]