CFP for the DHOW-MiLLA: Joint Workshop on Diffusion of Harmful Content
on Online Web and Countering Misinformation in the Age of LLMs and Agents
Submission deadline: January 10, 2026 AOE
Workshop website: https://dhow-workshop.github.io/2026/
<https://dhow-workshop.github.io/2026>
Co-located with WWW 2026 <https://www2026.thewebconf.org/>
Dubai, UAE, April 13-14, 2026
Workshop Description
With the advancement of digital technologies and gadgets, online content
is easily accessible. At the same time, harmful content also spreads.
There are different harmful content available on different platforms in
multiple languages. The topic of harmful content is broad and covers
multiple research directions. But from the user’s perspective, they are
affected by them all. Often, it is studied individually, like
misinformation and hate speech. Research has been done on one platform,
monolingual, on a particular issue. It leads to harmful content
spreaders switching platforms and languages to reach the user base.
Harmful is not limited to social media but also news media. Spreader
shares harmful content in posts, news articles, comments, and
hyperlinks. So, there is a need to study harmful content by combining
cross-platform, language, multimodal data and topics. We will bring the
research on harmful content under one umbrella so that research on
different topics (hate speech, misinformation, disinformation,
self-harm, offensive content, etc.) can bring some novel methods and
recommendations for users, leveraging text analysis with image, audio,
and video recognition to detect harmful content in diverse formats. The
workshop will cover the ongoing issue of war or elections in 2025.
We believe this workshop will provide a unique opportunity for
researchers and practitioners to exchange ideas, share the latest
developments, and collaborate on addressing the challenges associated
with harmful content spread across the Web. We expect that the workshop
will generate insights and discussions that will help advance the field
of societal artificial intelligence (AI) for the development of a safer
internet. In addition to attracting high-quality research contributions
to the workshop, one of the aims of the workshop is to mobilise the
researchers working on the related areas to form a community.
Submissions Topics
*
Studying different types of harmful content
*
Improving Factual Reliability in LLMs
*
Computational fact-checking & Misinformation
*
Detection Role of Generative AI in Mitigating Harmful Content
Harassment, Bullying, and Hate Speech Detection Explainable AI for
Harmful Content Analysis
*
Agentic AI Systems and Misinformation
*
Detection methods for LLM/VLM-generated text, audio, and imagery
*
Deepfake and Synthetic Media
*
Ethical & Societal Implications of AI in Content Moderation
*
Both Qualitative and Quantitative studies on harmful content
*
Psychological effects of harmful content like mental health
*
Approaches for data collection or data annotation using multimodal
large models on harmful content
*
User study on the effects of harmful content on human beings
*
Human-AI Collaboration and Defenses
Submissions
- Submission Instructions: https://dhow-workshop.github.io/2026/#call
<https://dhow-workshop.github.io/2026/#call>
- Submission Link:
https://openreview.net/group?id=ACM.org/TheWebConf/2026/Workshop/DHOW-MiLLA
<https://openreview.net/group?id=ACM.org/TheWebConf/2026/Workshop/DHOW-MiLLA>
Important Dates
Submission deadline: extended to January 7, 2026
Notification of acceptance: January 26, 2026
Camera-ready papers due: February 2, 2026
Workshop date: April 13-14, 2026
Workshop organizers
*
Thomas Mandl, University of Hildesheim, Germany
*
Haiming Liu, University of Southampton, UK
*
Gautam Kishore Shahi, University of Duisburg-Essen, Germany
*
Amit Kumar Jaiswal, Indian Institute of Technology (BHU) Varanasi,
India
*
Durgesh Nandini, University of Bayreuth, Germany
*
Luis-Daniel Ibáñez, University of Southampton, UK
*
Junichi Suga, Fujitsu Research, Japan
*
Dai Yamamoto, Fujitsu Research, Japan
*
Rahul Mishra, Fujitsu Research, India
*
Rajakrishnan P Rajkumar, IIIT Hyderabad, India
*
Sagar Uprety, University College London, UK
*
Bornali Phukon, University of Illinois Urbana Champaign, USA
*
Sujit Kumar, Nanyang Technological University, Singapore
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