Advances in Information Quality: Fact-Checking and AI in the Era of Fake News

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Artificial Intelligence".

Deadline for manuscript submissions: 30 April 2025 | Viewed by 72

Special Issue Editor


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Guest Editor
Department of Information Systems, Poznan University of Economics, 61-875 Poznań, Poland
Interests: information quality; open data; NLP; semantic web; fake news
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue seeks to address the challenges posed by digital misinformation by leveraging advancements in Artificial Intelligence and Large Language Models. High-quality submissions are sought that explore various aspects of information quality, fact-checking, and the role of AI in combating fake news. Contributions from academic researchers, industry professionals, and fact-checking agencies are particularly welcome. 

Fact-checking agencies are encouraged to submit their valuable expertise and insights to this Special Issue. Practical experiences and case studies in the realm of fact-checking are invaluable to the collective understanding and advancement of information quality.

Topics of interest include, but are not limited to:

  • Information Quality and Source Reliability:
    • Principles and metrics for assessing information quality.
    • Identifying reliable sources of information.
    • Comparison of information sources arcoss topics and languages.
    • Improving the quality of information by combining different sources.
  • Artificial Intelligence and Large Language Models:
    • Automation of fact-checking processes using AI.
    • Innovations in Large Language Models enhancing accuracy and efficiency.
    • Identifying and prioritizing check-worthy information.
  • Combatting Fake News:
    • Strategies and technological solutions for detecting and mitigating misinformation.
    • Case studies demonstrating successful implementations.
    • Ethical considerations and the philosophy of information in the context of fake news.
  • Information Intelligence and Extraction:
    • Data mining techniques for information verification.
    • Knowledge management practices for handling vast datasets.
    • AI methods for information extraction and fact discernment.
    • Named entity recognition and topic modeling.
  • Applications and Impacts:
    • AI’s role in enhancing the human–machine interface for verification.
    • Social implications of improved information quality.
    • Business process management through reliable information dissemination.

Manuscripts should be submitted online at the Information Journal website. There is no restriction on the maximum length of manuscripts, and full experimental details must be provided to ensure results can be reproduced. 

We look forward to your valuable contributions to this Special Issue on enhancing Information Quality through AI-driven Fact-checking and combating fake news.

Dr. Włodzimierz Lewoniewski
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • information quality
  • fact checking
  • fake news
  • artificial intelligence
  • large language models
  • check worthiness

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Published Papers

This special issue is now open for submission.
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