📬 🌐 **Call for Papers: DHOW 2026 – Diffusion of Harmful Content on the Web**
https://dhow-workshop.github.io/2026/2/
*Co-located with WebSci 2026 | Braunschweig, Germany | May 26–29, 2026*
✨ We’re excited to announce the extended CFP for the DHOW 2026 workshop!
Join us in tackling one of the most pressing challenges of our digital age: the **spread of harmful content across platforms, languages, and formats**.
🔍 Why this matters:
With the rise of AI, social media, and global connectivity, harmful content — from misinformation 📰 and hate speech 🔥 to deepfakes 🎭 and self-harm triggers 🛑 — spreads faster than ever.
But here’s the catch: researchers often study these issues in isolation — one platform, one language, one type.
👉 This leads to **"harmful content hopping"** — spreaders move to evade detection.
🎯 Our mission?
Bring together diverse research under one umbrella 🤝 to:
- Study **cross-platform, multi-lingual, multimodal** harmful content
- Combine **text, image, audio, and video analysis** 🖼️🔊🎥
- Explore the role of **Generative AI** 🤖 and **Explainable AI** 🧠 in detection & defense
- Understand **psychological impacts** 🧠 and **user experiences** 👥
- Address urgent topics like **elections, war, and disinformation** in 2025 🌍
📊 We’re looking for scientific contributions on:
- 📊 Analysis of hate speech, misinformation, disinformation, self-harm, offensive content
- ✅ Computational fact-checking & AI-driven detection
- 🤖 Role of Generative AI in mitigating harm
- 🎭 Deepfakes & their societal impact
- 🌍 Multi-lingual & cross-platform detection (e.g., spam, bots, trolls)
- 🧪 Qualitative & quantitative studies on mental health effects
- 📥 LLM-assisted data collection & annotation
- 👥 User studies & human-AI collaboration in defense
- 🧩 Explainable AI for transparency & trust
📅 Important Dates:
- 📅 Submission deadline: **March 15, 2026 (AOE)**
- ✅ Notification of acceptance: **March 29, 2026**
- 📤 Camera-ready due: **April 2, 2026**
- 🎉 Workshop: **May 26–29, 2026**
🔗 Submit your work here:
👉 [Submission Portal (OpenReview)](https://openreview.net/group?id=acmmm.org/WebSci/2026/Workshop/DHOW)
👥 We’re building a community!*
This workshop is more than a venue — it’s a **collaborative space** for researchers, practitioners, and policymakers to share insights, spark innovation, and shape a safer, more responsible internet 🌱.
👨💻 Organizing Team:
- Thomas Mandl (University of Hildesheim, Germany)
- Haiming Liu (University of Southampton, UK)
- Gautam Kishore Shahi (University of Duisburg-Essen, Germany)
- Amit Kumar Jaiswal (IIT BHU Varanasi, India)
- Durgesh Nandini (University of Bayreuth, Germany)
- Luis-Daniel Ibáñez (University of Southampton, UK)
#DHOW2026 #WebSci2026 #HarmfulContent #AIforGood #SocietalAI #DigitalSafety #ResearchCommunity
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