๐ข Call for Contributions to the 1st Workshop on Sustainable Artificial Intelligence for addressing Online Information Disorder (SAI4OID)
Workshop InformationWorkshop: Sustainable Artificial Intelligence for addressing Online Information Disorder (SAI4OID)
Co-located with: 24th International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2025)
Submission Deadline: 15 September 2025
Main Conference Dates: 15 - 18 November 2025
Location: ๐ London, United Kingdom
Website: https://sai4oid.icar.cnr.it
Digital ecosystems significantly shape public discourse and enable the rapid spread of content worldwide. However, they also introduce critical challenges, notably the widespread dissemination of unverified information often influenced by personal opinions and biases. This proliferation of misinformation undermines public trust, posing serious risks to social cohesion and political stability. Addressing these challenges requires sustainable, AI-driven methods to identify, understand, and mitigate online information disorder effectively.
The SAI4OID workshop invites interdisciplinary researchers and practitioners to collaborate in exploring cutting-edge AI-based solutions targeting misinformation, disinformation, and online manipulation. Contributions related to handling misinformation and modeling user behaviors on the web are particularly encouraged. Sustainability is a key theme, emphasizing strategies that prioritize not only effectiveness and fairness but also environmental and social responsibility.
Proceedings: All accepted new contributions will be published in a companion volume of the IEEE WIC ACM International Conference on Web Intelligence (WI) (IEEE Xplore โ Conference Table of Contents).
We invite submissions covering, but not limited to, the following topics:
Detection and mitigation of misinformation and disinformation
Multimodal fake news detection
Coordinated inauthentic behavior and information operations
Strategies for content moderation
Online knowledge manipulation
Modeling user behavior and engagement
Measuring and mitigating online polarization
Identification and mitigation of online extremism and propaganda
Dynamics of trust, influence, and communities online
Emotional, personality, and identity factors in digital discourse
Identification of influencers and detection of community-driven movements
Human-AI interaction and feedback loops
Societies of large language models (LLMs) and experimental LLM studies
Datasets and resources for studying online information operations
Sustainability Focus: Submissions are especially encouraged to highlight green approaches - including energy-efficient methods, low-resource algorithms, and environmentally sustainable practices - in addressing the listed topics.
We welcome submissions in the form of:
Full research papersย
Extended abstracts about already published conference or journal papers
Demo papers including experimental research or case studies
Student research papers
There is a 6-pages limit with the possibility to purchase up to 2 pages. Please refer to the workshop website for detailed submission instructions, formatting guidelines, and deadlines.
We encourage participation from researchers and practitioners in artificial intelligence, data mining, machine learning, media studies, policy and ethics of technology, sustainability, social sciences, as well as representatives from industry, NGOs, governmental institutions, and civil society organizations. We particularly encourage students to submit early-stage, preliminary results of their research. For accepted contributions, we will provide visa support letters.
Engage with interdisciplinary experts addressing key societal and technological challenges
Receive constructive feedback on your research from domain specialists
Network with global scholars and professionals dedicated to ethical, sustainable AI practices
๐ How to Submit
For detailed information, including deadlines, submission systems (e.g., EasyChair), and guidelines, please visit our workshop website:
๐ https://sai4oid.icar.cnr.it
We look forward to your contributions and active participation!
Thank you,
The SAI4OID Workshop Organizing Committee
Francesco Scala, ICAR-CNR, Italy
Liliana Martirano, ICAR-CNR, Italy
Marco Minici, ICAR-CNR, Italy
Roberto Interdonato, CIRAD - UMR Tetis, France
Luca Luceri, University of Southern California-Information Sciences Institute, USA
Sergio Flesca, University of Calabria, Italy