Seminar Series

2025-2026

15.00 - 16.00 UK time

Overview

The rapid integration of AI into social media platforms as well as the increasing use of LLMs presents unprecedented challenges and opportunities. Our second seminar series is designed to facilitate impactful conversations between researchers of different expertise and focus as well as practitioners around the use of AI in the mediasphere. Our seminars happen on Thursdays once a month. If you are interested in receiving updates and invites for the monthly talks please join our mailing list.

Our seminars open the stage to individuals across the career spectrum, from junior researchers and senior academics to industry experts, ensuring broad representation.

Our three themes of focus for 2025-2026 are:

  1. LLMs and Misinformation: Limitations and Mitigation
  2. Multimodal Detection
  3. Evidence-based and Efficient AI in Media

Our technical research areas include:

  1. Natural Language Processing
  2. Deep Learning
  3. Social Network Dynamics
  4. Computer Vision
  5. Cognitive Psychology
  6. Mass Communication Studies


Invited Speakers

Dr. Jenny Kidd, Dr. Bethan Jones, Dr. Eva Nieto McAvoy Synthetic Pasts | School of Journalism, Media and Culture, Cardiff University & King’s College London
2nd of April 2026 @ 15.00- 16.00 BST

Synthetic Media, AI Afterlives and the Future of Memory.

Mina Schütz Scientist | AIT Austrian Institute of Technology GmbH & Darmstadt University of Applied Sciences
5th of March 2026 @ 15.00- 16.00 BST

From Incitement to Disinformation: Advances in Detecting Harmful Narratives.

Jonathan Tonglet ELLIS PhD student | TU Darmstadt and KU Leuven
5th of February 2026 @ 15.00- 16.00 GMT

Is this chart lying to me? Detecting and countering misleading charts with AI.

Misinformation EMNLP Reading Group Prof. Piotr Przybyła | UPF, Spain & ICS PAS, Poland [paper]
Ruohao Guo | Georgia Institute of Technology [paper]
Yiyang Feng | Stony Brook University [paper]
8th of January 2026 @ 15.00- 16.00 GMT [recording]
Sotirios Stamnas PhD Student | Computer Science, University of Warwick
4th of December 2025 @ 15.00- 16.00 GMT

DecepTIV: A Large-Scale Benchmark for Robust Detection of T2V and I2V Synthetic Videos.

Mahmud Elahi Akhter Research Assistant | Queen Mary University of London
6th of November 2025 @ 15.00- 16.00 GMT

How good are LLMs at reasoning over evidence-based claim verification. [slides], [recording]

Zhijiang Guo Assistant Professor | The Hong Kong University of Science and Technology
9th of October 2025 @ 13.00- 14.00 BST

LLM for Code Generation: From Correctness to Efficiency. [slides], [recording]

Organizers

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Talia
Tseriotou
Queen Mary University
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Dina
Pisarevskaya
Queen Mary University
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Yueting
Han
University of Warwick
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Michael
Schlichtkrull
Queen Mary University
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Marya
Bazzi
Alan Turing Institute, University of Warwick
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Maria
Liakata
Alan Turing Institute, Queen Mary University
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Arkaitz
Zubiaga
Queen Mary University