NakbaVirality Shared Task: Virality Prediction in High-Stakes Discourse

Participate in the NakbaVirality Shared Task at LREC 2026 to predict virality of content related to the Nakba and Gaza war. Two tasks: Multimodal Virality Classification and Textual Virality Prediction.

The NakbaVirality Shared Task is a challenge organized within the second Nakba-NLP Workshop at LREC 2026, focusing on predicting the reach and engagement of content surrounding the Nakba and the post-October 7th war on Gaza.

This task operates at the intersection of NLP, Computer Vision, and Computational Social Science, aiming to understand information diffusion in highly polarized and emotionally charged contexts.

• Task 1: Multimodal Virality Classification – Classify posts into Low, Medium, or High virality buckets using text and image inputs.
• Task 2: Textual Virality and Interaction Prediction – Predict Likability and Interactivity scores using text-only input.

For more information and to participate, visit the task website and register here.

Tags: NakbaVirality, LREC 2026, NLP, Computer Vision, Computational Social Science, Virality Prediction, Multimodal Classification