In an era where digital platforms shape global conversations, the threat of online deviance has never been more pressing. From influence campaigns to AI-driven manipulation, the digital battleground is evolving at an unprecedented pace. How can we detect and combat these threats while preserving open discourse?

The Deviant Dynamics in Digital Spaces 2025 workshop (Deviance 2025) is an opportunity to engage with leading experts tackling the most pressing challenges in online safety and security. Hosted at ASONAM 2025 in Niagara Falls, Canada, during August 25-28, 2025, the workshop will bring researchers, policymakers, and industry leaders together to explore emerging challenges and opportunities for studying digital deviance and share the latest research in detection and mitigation.

Attendees will gain insights into misinformation detection, algorithmic exploitation, and cross-platform coordination strategies. Deviance 2025 will feature AI experts and social scientists working at the forefront of cognitive security. Join to discover cutting-edge research on trolling strategies, cognitive manipulation, and extremist recruitment tactics, and contribute to discussions on policy implications and governance frameworks shaping the future of digital safety.

We invite original research papers addressing

  • Influence and manipulation tactics & detection,
  • AI-enabled threats & countermeasures,
  • Algorithmic manipulation & recommendation system exploitation, and
  • Adversarial Human-AI teaming, social bot analysis, trolling, and hate speech detection.
  • Privacy & security in social media platforms

The following are important dates:

  • Submission Deadline: May 18, 2025
  • Acceptance Notification: June 1, 2025
  • Camera-ready Deadline: July 28, 2025

Accepted papers will be published in the ASONAM 2025 Conference Proceedings by Springer.

Join us in shaping the fight against digital deception. Submit your research today!Questions? Read more about the workshop or contact Dr. Nitin Agarwal at nxagarwal@ualr.edu.