[{"publication":"Proceedings of the 2025 International Conference on Information Technology for Social Good","_id":"13529","oa":"1","language":[{"iso":"eng"}],"date_created":"2026-03-20T12:55:35Z","publication_status":"published","place":"New York, NY, USA","citation":{"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>.","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.","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>","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.","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","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>.","havard":"M. Franco, V. Grimm, E. Herder, Preventing Accidental Sharing of Misinformation Using Large Language Models, ACM, New York, NY, USA, 2025.","short":"M. Franco, V. Grimm, E. Herder, Preventing Accidental Sharing of Misinformation Using Large Language Models, ACM, New York, NY, USA, 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>","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>.","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-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>, ."},"publication_identifier":{"isbn":["979-8-4007-2089-5"]},"author":[{"full_name":"Franco, Mirko","last_name":"Franco","first_name":"Mirko"},{"id":"74000","last_name":"Grimm","full_name":"Grimm, Valentin","first_name":"Valentin"},{"last_name":"Herder","full_name":"Herder, Eelco","first_name":"Eelco"}],"title":"Preventing Accidental Sharing of Misinformation Using Large Language Models","main_file_link":[{"url":"https://dl.acm.org/doi/full/10.1145/3748699.3749798","open_access":"1"}],"status":"public","department":[{"_id":"DEP8008"}],"corporate_editor":["Association for Computing Machinery"],"year":"2025","user_id":"83781","page":"244 - 252","conference":{"start_date":"2025-09-03","end_date":"2025-09-05","name":"GoodIT '25","location":"Antwerp, Belgium"},"abstract":[{"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.","lang":"eng"}],"keyword":["misinformation","fake news","large language models","online social networks"],"publisher":"ACM","editor":[{"first_name":"Johann","last_name":"Marquez-Barja","full_name":"Marquez-Barja, Johann"},{"first_name":"Armir","full_name":"Bujari, Armir","last_name":"Bujari"},{"full_name":"Slamnik-Kriještorac, Nina","last_name":"Slamnik-Kriještorac","first_name":"Nina"},{"first_name":"Andrea","last_name":"Sabbioni","full_name":"Sabbioni, Andrea"}],"type":"conference_editor_article","quality_controlled":"1","date_updated":"2026-03-24T10:01:35Z","doi":"10.1145/3748699.3749798"},{"page":"3177","abstract":[{"text":"This paper introduces an approach that leverages large language models (LLMs) to convert detailed descriptions of an Operational Design Domain (ODD) into realistic, executable simulation scenarios for testing autonomous vehicles. The method combines model-based and data-driven techniques to decompose ODDs into three key components: environmental, scenery, and dynamic elements. It then applies prompt engineering to generate ScenarioRunner scripts compatible with CARLA. The model-based component guides the LLM using structured prompts and a “Tree of Thoughts” strategy to outline the scenario, while a data-driven refinement process, drawing inspiration from red teaming, enhances the accuracy and robustness of the generated scripts over time. Experimental results show that while static components, such as weather and road layouts, are well captured, dynamic elements like vehicle and pedestrian behavior require further refinement. Overall, this approach not only reduces the manual effort involved in creating simulation scenarios but also identifies key challenges and opportunities for advancing safer and more adaptive autonomous driving systems.","lang":"eng"}],"keyword":["large language models","generation","Operational Design Domain","autonomous vehicles","simulation","CARLA","ScenarioRunner","prompt-engineering","fine-tuning"],"status":"public","department":[{"_id":"DEP5023"},{"_id":"DEP5000"}],"user_id":"83781","year":"2025","quality_controlled":"1","doi":"10.3390/electronics14163177","date_updated":"2025-08-12T07:38:15Z","issue":"16","publisher":"MDPI","type":"scientific_journal_article","_id":"13120","publication":"Electronics","title":"Automated Generation of Test Scenarios for Autonomous Driving Using LLMs","publication_status":"published","volume":14,"language":[{"iso":"eng"}],"date_created":"2025-08-11T15:38:12Z","citation":{"mla":"Danso, Aaron Agyapong, and Ulrich Büker. “Automated Generation of Test Scenarios for Autonomous Driving Using LLMs.” <i>Electronics</i>, vol. 14, no. 16, 2025, p. 3177, <a href=\"https://doi.org/10.3390/electronics14163177\">https://doi.org/10.3390/electronics14163177</a>.","apa":"Danso, A. A., &#38; Büker, U. (2025). Automated Generation of Test Scenarios for Autonomous Driving Using LLMs. <i>Electronics</i>, <i>14</i>(16), 3177. <a href=\"https://doi.org/10.3390/electronics14163177\">https://doi.org/10.3390/electronics14163177</a>","short":"A.A. Danso, U. Büker, Electronics 14 (2025) 3177.","chicago-de":"Danso, Aaron Agyapong und Ulrich Büker. 2025. Automated Generation of Test Scenarios for Autonomous Driving Using LLMs. <i>Electronics</i> 14, Nr. 16: 3177. doi:<a href=\"https://doi.org/10.3390/electronics14163177\">10.3390/electronics14163177</a>, .","ufg":"<b>Danso, Aaron Agyapong/Büker, Ulrich</b>: Automated Generation of Test Scenarios for Autonomous Driving Using LLMs, in: <i>Electronics</i> 14 (2025), H. 16,  S. 3177.","havard":"A.A. Danso, U. Büker, Automated Generation of Test Scenarios for Autonomous Driving Using LLMs, Electronics. 14 (2025) 3177.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Danso, Aaron Agyapong</span> ; <span style=\"font-variant:small-caps;\">Büker, Ulrich</span>: Automated Generation of Test Scenarios for Autonomous Driving Using LLMs. In: <i>Electronics</i> Bd. 14. Basel, MDPI (2025), Nr. 16, S. 3177","bjps":"<b>Danso AA and Büker U</b> (2025) Automated Generation of Test Scenarios for Autonomous Driving Using LLMs. <i>Electronics</i> <b>14</b>, 3177.","chicago":"Danso, Aaron Agyapong, and Ulrich Büker. “Automated Generation of Test Scenarios for Autonomous Driving Using LLMs.” <i>Electronics</i> 14, no. 16 (2025): 3177. <a href=\"https://doi.org/10.3390/electronics14163177\">https://doi.org/10.3390/electronics14163177</a>.","ieee":"A. A. Danso and U. Büker, “Automated Generation of Test Scenarios for Autonomous Driving Using LLMs,” <i>Electronics</i>, vol. 14, no. 16, p. 3177, 2025, doi: <a href=\"https://doi.org/10.3390/electronics14163177\">10.3390/electronics14163177</a>.","van":"Danso AA, Büker U. Automated Generation of Test Scenarios for Autonomous Driving Using LLMs. Electronics. 2025;14(16):3177.","ama":"Danso AA, Büker U. Automated Generation of Test Scenarios for Autonomous Driving Using LLMs. <i>Electronics</i>. 2025;14(16):3177. doi:<a href=\"https://doi.org/10.3390/electronics14163177\">10.3390/electronics14163177</a>"},"place":"Basel","publication_identifier":{"eissn":["2079-9292 "]},"author":[{"first_name":"Aaron Agyapong","full_name":"Danso, Aaron Agyapong","last_name":"Danso","id":"84400"},{"full_name":"Büker, Ulrich","id":"81453","last_name":"Büker","first_name":"Ulrich","orcid":"0000-0002-4403-3889"}],"intvolume":"        14"},{"publication":"HT '24: Proceedings of the 35th ACM Conference on Hypertext and Social Media","_id":"12048","oa":"1","publication_identifier":{"isbn":["979-8-4007-0595-3 "]},"author":[{"last_name":"Grimm","id":"74000","full_name":"Grimm, Valentin","first_name":"Valentin"},{"last_name":"Rubart","id":"45672","full_name":"Rubart, Jessica","first_name":"Jessica"}],"publication_status":"published","language":[{"iso":"eng"}],"date_created":"2024-11-22T12:25:29Z","citation":{"chicago":"Grimm, Valentin, and Jessica Rubart. <i>Authoring Educational Hypercomics Assisted by Large Language Models</i>. <i>HT ’24: Proceedings of the 35th ACM Conference on Hypertext and Social Media</i>. New York, USA: Association for Computing Machinery (ACM), 2024. <a href=\"https://doi.org/10.1145/3648188.3675124\">https://doi.org/10.1145/3648188.3675124</a>.","bjps":"<b>Grimm V and Rubart J</b> (2024) <i>Authoring Educational Hypercomics Assisted by Large Language Models</i>. New York, USA: Association for Computing Machinery (ACM).","din1505-2-1":"<span style=\"font-variant:small-caps;\">Grimm, Valentin</span> ; <span style=\"font-variant:small-caps;\">Rubart, Jessica</span>: <i>Authoring Educational Hypercomics assisted by Large Language Models</i>. New York, USA : Association for Computing Machinery (ACM), 2024","van":"Grimm V, Rubart J. Authoring Educational Hypercomics assisted by Large Language Models. HT ’24: Proceedings of the 35th ACM Conference on Hypertext and Social Media. New York, USA: Association for Computing Machinery (ACM); 2024.","ama":"Grimm V, Rubart J. <i>Authoring Educational Hypercomics Assisted by Large Language Models</i>. Association for Computing Machinery (ACM); 2024:88-97. doi:<a href=\"https://doi.org/10.1145/3648188.3675124\">10.1145/3648188.3675124</a>","ieee":"V. Grimm and J. Rubart, <i>Authoring Educational Hypercomics assisted by Large Language Models</i>. New York, USA: Association for Computing Machinery (ACM), 2024, pp. 88–97. doi: <a href=\"https://doi.org/10.1145/3648188.3675124\">10.1145/3648188.3675124</a>.","ufg":"<b>Grimm, Valentin/Rubart, Jessica</b>: Authoring Educational Hypercomics assisted by Large Language Models, New York, USA 2024.","chicago-de":"Grimm, Valentin und Jessica Rubart. 2024. <i>Authoring Educational Hypercomics assisted by Large Language Models</i>. <i>HT ’24: Proceedings of the 35th ACM Conference on Hypertext and Social Media</i>. New York, USA: Association for Computing Machinery (ACM). doi:<a href=\"https://doi.org/10.1145/3648188.3675124\">10.1145/3648188.3675124</a>, .","short":"V. Grimm, J. Rubart, Authoring Educational Hypercomics Assisted by Large Language Models, Association for Computing Machinery (ACM), New York, USA, 2024.","apa":"Grimm, V., &#38; Rubart, J. (2024). Authoring Educational Hypercomics assisted by Large Language Models. In <i>HT ’24: Proceedings of the 35th ACM Conference on Hypertext and Social Media</i> (pp. 88–97). Association for Computing Machinery (ACM). <a href=\"https://doi.org/10.1145/3648188.3675124\">https://doi.org/10.1145/3648188.3675124</a>","mla":"Grimm, Valentin, and Jessica Rubart. “Authoring Educational Hypercomics Assisted by Large Language Models.” <i>HT ’24: Proceedings of the 35th ACM Conference on Hypertext and Social Media</i>, Association for Computing Machinery (ACM), 2024, pp. 88–97, <a href=\"https://doi.org/10.1145/3648188.3675124\">https://doi.org/10.1145/3648188.3675124</a>.","havard":"V. Grimm, J. Rubart, Authoring Educational Hypercomics assisted by Large Language Models, Association for Computing Machinery (ACM), New York, USA, 2024."},"place":"New York, USA","title":"Authoring Educational Hypercomics assisted by Large Language Models","main_file_link":[{"url":"https://dl.acm.org/doi/10.1145/3648188.3675124","open_access":"1"}],"department":[{"_id":"DEP8008"},{"_id":"DEP8008"}],"year":"2024","user_id":"83781","status":"public","keyword":["Storytelling","Authoring","GPT","Hypercomics","Large Language Models"],"page":"88-97","conference":{"location":"Poznan, Poland","name":"35th ACM Conference on Hypertext and Social Media","end_date":"2024-09-13","start_date":"2024-09-10"},"abstract":[{"lang":"eng","text":"Interactive stories can be an effective approach for teaching purposes. One shortcoming is the effort necessary to author and create these stories, especially complex storylines with choices for the readers. Based on recent advances in Natural Language Processing (NLP), new opportunities arise for assistance systems in the context of interactive stories. In our work, we present an authoring approach and prototypical tool for the creation of visual comic-strip like interactive stories, a type of hypercomics, that integrate an Artificial Intelligence (AI) assistance. Such comics are already used in our Gekonnt hanDeln web platform. The AI assistance provides suggestions for the overall story outline as well as how to design and write individual story frames. We provide a detailed description about the approach and its prototypical implementation. Furthermore, we present a study evaluating the prototype with student groups and how the prototype evolved in an iterative style based on the students’ feedback."}],"type":"conference_editor_article","publisher":"Association for Computing Machinery (ACM)","quality_controlled":"1","date_updated":"2025-06-25T13:06:37Z","doi":"10.1145/3648188.3675124"}]