Future of Information Integrity Research

Important Information

Date: November 12, 2025

Half-Day Workshop

Room: TBD
Time Zone: Washington DC (UTC -5)

Workshop Overview

Identifying reliable information to ground decisions has always been a challenge. Now, generative AI is bringing sweeping changes to the information landscape. On the one hand, it can be a powerfully positive force to assist us in finding high quality information and answers to our questions; on the other, it can be a severely negative one in spreading deepfakes, personalized deception powered by AI agents, and other untrustworthy information. This workshop aims to bring together researchers and developers to explore the future of information integrity research, which must unlock the benefits of recent progress in AI and solve the challenges it brings.

Call for Papers

We invite submissions to the Future of Information Integrity Research (FIIR) Workshop. This workshop welcomes researchers, practitioners, and developers working to leverage and solve the challenges of generative AI for information integrity. Topics of Interest Include (but are not limited to):

Open-source platforms for information integrity
AI-driven fact-checking methodologies, retrieval systems, explainability, datasets, evaluation
Human in the loop systems for veracity verification
Human interaction, personalization, and information co-pilot systems
Bias mitigation in information integrity
Media literacy and critical thinking with AI
AI persuasion evaluation, scaling trends, guardrails
Deepfakes and other multimodal information integrity
AI agents and bots in the information ecosystem

Participants in this workshop will have the opportunity to contribute in two key ways:

Research on Information Integrity – Advancing our understanding, and proposing theoretical or empirical tools and solutions for the generative AI era.
Building on the Veracity platform – We have created an open-source fact-checking application, which leverages LLMs and web retrieval to provide transparent and accessible veracity assessments. This platform is designed to support end-to-end development and testing of information co-pilot technologies, and move from traditional academic datasets towards more real-world-ready systems. We invite contributions extending this platform, integrating new verification techniques, and enhancing usability and effectiveness.

Submission Tracks

Tiny Papers (2-4 pages):
- Identify key challenges in information integrity and propose initial solutions.
- Conceptual discussions of position papers.
Regular Papers (6-8 pages):
- Propose and evaluate a new information integrity methodology.
- Empirical studies, theoretical analyses, or comparative evaluations.
Demo Papers (4-6 pages + demo submission):
- Build on the Veracity platform with new tools, techniques, evaluations, or other extensions.
- Demonstrations of innovative information integrity interfaces, AI enhancements, or practical applications.

* Note: Page limits do not include references

Key Dates

All deadlines are in ET, unless otherwise stated:

Paper Submission Deadline: August 29, 2025 September 12, 2025
Notification of Acceptance: September 15, 2025 September 19, 2025
Camera-Ready Papers & Copyright Form Due: September 25, 2025
Workshop Date: Tentatively November 12, 2025 (subject to change)

Submission and Publication

Submission Process

Submit your paper at this link: FIIR Submission

Submissions must be in PDF format using the IEEE 2-column template, and must be submitted through the system linked above.

⚠️ Important: Since the submission platform does not support selecting a track, please indicate your track (Tiny, Regular, or Demo) by including the following line at the top of your PDF:

Track: [Tiny | Regular | Demo]

For Demo submissions, please also include a link to your demo (e.g., video, prototype, or repository) within the PDF.

Publication Information

All accepted papers will be included in the ICDM'25 Workshop Proceedings (ICDMW 2025) published by the IEEE Computer Society Press. Therefore, papers must not have been accepted for publication elsewhere or be under review for another workshop, conference or journal.

All accepted papers, including workshops, must have at least one “FULL” registration. A full registration is either a “member” or “non-member” registration. Student registrations are not considered full registrations.

Schedule

Keynote Talks

Thomas Costello

American University

Speaker Bio: Thomas Costello is an Assistant Professor of Psychology at American University. He studies where political and social beliefs come from, how they differ from person to person–and, ultimately, why they change–using AI and the tools of personality, cognitive, clinical, and political science. During his doctoral training in clinical psychology at Emory University (2016-2022) and postdoctoral fellowship at MIT (2022-2024), he has published dozens of research papers in peer-reviewed outlets, including Science, Journal of Personality and Social Psychology, Psychological Bulletin, and Trends in Cognitive Sciences. He has been featured in the New York Times, The Atlantic, CBC/Radio-Canada, and Scientific American, among many others, and his work has accumulated millions of views and comments on social media. Thomas has garnered extramural grant support (totalling> $500,000) from organizations including Effective Ventures, Reset, and Google. He was awarded the Heritage Dissertation Research Award from the Society for Personality and Social Psychology, the JS Tanaka Dissertation Award from the Association for Research in Personality, and the Klarman Fellowship from Cornell University.

Talk Title: pending

Symeon Papadopoulos **

Information Technologies Insitute (ITI)

Speaker Bio: Dr. Symeon Papadopoulos is a Principal Researcher with the Information Technologies Institute (ITI), Centre for Research and Technology Hellas (CERTH), Thessaloniki, Greece. He holds an electrical and computer engineering diploma from the Aristotle University of Thessaloniki, a Professional Doctorate in Engineering from the Technical University of Eindhoven, a Master’s in Business Administration from the Blekinge Institute of Technology and a PhD in Computer Science from the Aristotle University of Thessaloniki. His research interests lie at the intersection of multimedia understanding, social network analysis, information retrieval, big data management and artificial intelligence. Dr. Papadopoulos has co-authored more than 40 papers in refereed journals, 10 book chapters and 130 papers in international conferences, 3 patents, and has edited two books. He has participated in and coordinates a number of relevant EC FP7, H2020 and Horizon Europe projects in the areas of media convergence, social media and artificial intelligence. He is leading the Media Analysis, Verification and Retrieval Group (MeVer, https://mever.iti.gr), and is a co-founder of the Infalia Private Company, a spin-out of CERTH-ITI.

Talk Title: pending

Herbert Chang

Dartmouth

Speaker Bio: Herbert Chang is a computational social scientist who studies social networks, online politics, and how technology shapes human behaviour. His prior work covered the 2020 United States and Taiwanese Presidential Elections, the George Floyd protests, and the Russian invasion of Ukraine. His work has been featured in the New York Times, the Washington Post, Scientific American, and Forbes 30 Under 30 for Science. His Computational Social Science Group applies machine learning and computational techniques to answer social questions, as well as using investigative and data journalistic approaches to tell compelling human stories.

Talk Title: pending