---
_id: '13529'
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.
author:
- first_name: Mirko
  full_name: Franco, Mirko
  last_name: Franco
- first_name: Valentin
  full_name: Grimm, Valentin
  id: '74000'
  last_name: Grimm
- first_name: Eelco
  full_name: Herder, Eelco
  last_name: Herder
citation:
  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>
  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>
  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: '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>.'
  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>,
    .'
  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'
  havard: M. Franco, V. Grimm, E. Herder, Preventing Accidental Sharing of Misinformation
    Using Large Language Models, ACM, New York, NY, USA, 2025.
  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>.'
  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>.
  short: M. Franco, V. Grimm, E. Herder, Preventing Accidental Sharing of Misinformation
    Using Large Language Models, ACM, New York, NY, USA, 2025.
  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.'
  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.'
conference:
  end_date: 2025-09-05
  location: Antwerp, Belgium
  name: GoodIT '25
  start_date: 2025-09-03
corporate_editor:
- Association for Computing Machinery
date_created: 2026-03-20T12:55:35Z
date_updated: 2026-03-24T10:01:35Z
department:
- _id: DEP8008
doi: 10.1145/3748699.3749798
editor:
- first_name: Johann
  full_name: Marquez-Barja, Johann
  last_name: Marquez-Barja
- first_name: Armir
  full_name: Bujari, Armir
  last_name: Bujari
- first_name: Nina
  full_name: Slamnik-Kriještorac, Nina
  last_name: Slamnik-Kriještorac
- first_name: Andrea
  full_name: Sabbioni, Andrea
  last_name: Sabbioni
keyword:
- misinformation
- fake news
- large language models
- online social networks
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://dl.acm.org/doi/full/10.1145/3748699.3749798
oa: '1'
page: 244 - 252
place: New York, NY, USA
publication: Proceedings of the 2025 International Conference on Information Technology
  for Social Good
publication_identifier:
  isbn:
  - 979-8-4007-2089-5
publication_status: published
publisher: ACM
quality_controlled: '1'
status: public
title: Preventing Accidental Sharing of Misinformation Using Large Language Models
type: conference_editor_article
user_id: '83781'
year: '2025'
...
---
_id: '13120'
abstract:
- lang: eng
  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.'
author:
- first_name: Aaron Agyapong
  full_name: Danso, Aaron Agyapong
  id: '84400'
  last_name: Danso
- first_name: Ulrich
  full_name: Büker, Ulrich
  id: '81453'
  last_name: Büker
  orcid: 0000-0002-4403-3889
citation:
  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>
  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>
  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>.'
  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>,
    .'
  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'
  havard: A.A. Danso, U. Büker, Automated Generation of Test Scenarios for Autonomous
    Driving Using LLMs, Electronics. 14 (2025) 3177.
  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>.'
  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>.
  short: A.A. Danso, U. Büker, Electronics 14 (2025) 3177.
  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.'
  van: Danso AA, Büker U. Automated Generation of Test Scenarios for Autonomous Driving
    Using LLMs. Electronics. 2025;14(16):3177.
date_created: 2025-08-11T15:38:12Z
date_updated: 2025-08-12T07:38:15Z
department:
- _id: DEP5023
- _id: DEP5000
doi: 10.3390/electronics14163177
intvolume: '        14'
issue: '16'
keyword:
- large language models
- generation
- Operational Design Domain
- autonomous vehicles
- simulation
- CARLA
- ScenarioRunner
- prompt-engineering
- fine-tuning
language:
- iso: eng
page: '3177'
place: Basel
publication: Electronics
publication_identifier:
  eissn:
  - '2079-9292 '
publication_status: published
publisher: MDPI
quality_controlled: '1'
status: public
title: Automated Generation of Test Scenarios for Autonomous Driving Using LLMs
type: scientific_journal_article
user_id: '83781'
volume: 14
year: '2025'
...
---
_id: '12048'
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.
author:
- first_name: Valentin
  full_name: Grimm, Valentin
  id: '74000'
  last_name: Grimm
- first_name: Jessica
  full_name: Rubart, Jessica
  id: '45672'
  last_name: Rubart
citation:
  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>
  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>'
  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).'
  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>.'
  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>,
    .'
  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'
  havard: V. Grimm, J. Rubart, Authoring Educational Hypercomics assisted by Large
    Language Models, Association for Computing Machinery (ACM), New York, USA, 2024.
  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>.'
  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>.'
  short: V. Grimm, J. Rubart, Authoring Educational Hypercomics Assisted by Large
    Language Models, Association for Computing Machinery (ACM), New York, USA, 2024.
  ufg: '<b>Grimm, Valentin/Rubart, Jessica</b>: Authoring Educational Hypercomics
    assisted by Large Language Models, New York, USA 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.'
conference:
  end_date: 2024-09-13
  location: Poznan, Poland
  name: 35th ACM Conference on Hypertext and Social Media
  start_date: 2024-09-10
date_created: 2024-11-22T12:25:29Z
date_updated: 2025-06-25T13:06:37Z
department:
- _id: DEP8008
- _id: DEP8008
doi: 10.1145/3648188.3675124
keyword:
- Storytelling
- Authoring
- GPT
- Hypercomics
- Large Language Models
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://dl.acm.org/doi/10.1145/3648188.3675124
oa: '1'
page: 88-97
place: New York, USA
publication: 'HT ''24: Proceedings of the 35th ACM Conference on Hypertext and Social
  Media'
publication_identifier:
  isbn:
  - '979-8-4007-0595-3 '
publication_status: published
publisher: Association for Computing Machinery (ACM)
quality_controlled: '1'
status: public
title: Authoring Educational Hypercomics assisted by Large Language Models
type: conference_editor_article
user_id: '83781'
year: '2024'
...