---
_id: '13730'
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.'
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
  orcid: 0000-0003-0937-3551
- first_name: Eelco
  full_name: Herder, Eelco
  last_name: Herder
- first_name: Carsten
  full_name: Röcker, Carsten
  id: '61525'
  last_name: Röcker
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>'
  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>'
  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>.'
  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>,
    .'
  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.'
  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>.'
  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>.'
  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.'
  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.'
  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.'
conference:
  end_date: 2026-05-26
  location: Braunschweig
  name: 18th ACM Web Science Conference ; WebSci Companion '26
  start_date: 2026-05-26
corporate_editor:
- ACM Press
date_created: 2026-05-05T16:16:34Z
date_updated: 2026-07-02T10:16:02Z
department:
- _id: DEP5023
- _id: DEP8008
- _id: DEP5027
doi: https://doi.org/10.1145/3795513.3810452
editor:
- first_name: Wolf-Tilo
  full_name: Balke, Wolf-Tilo
  last_name: Balke
- first_name: Florian
  full_name: Plötzky, Florian
  last_name: Plötzky
- first_name: Marc
  full_name: Spaniol, Marc
  last_name: Spaniol
- first_name: Eelco
  full_name: Herder, Eelco
  last_name: Herder
- first_name: Lydia
  full_name: Manikonda, Lydia
  last_name: Manikonda
- first_name: Haiming
  full_name: Liu, Haiming
  last_name: Liu
- first_name: Luis-Daniel
  full_name: Ibáñez, Luis-Daniel
  last_name: Ibáñez
- first_name: Rezvaneh
  full_name: Rezapour, Rezvaneh
  last_name: Rezapour
keyword:
- Large Language Model Mediation
- Explainable AI
- Decision Co- Pilot Systems
- Misinformation Detection
language:
- iso: eng
page: 110-116
place: New York, USA
publication: 'WebSci Companion ''26: Companion Publication of the 2026 18th ACM Web
  Science Conference'
publication_identifier:
  isbn:
  - 979-8-4007-2492-3
publication_status: published
publisher: ACM
quality_controlled: '1'
status: public
title: 'LLM-Mediated XAI Explanations: An AI Advisor for Fast and Calibrated Judgments
  on Potential Misinformation'
type: conference_editor_article
user_id: '89807'
year: '2026'
...
---
_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'
...