Objective: Verify the authenticity and context of multimedia content, which may be in a language other than English, and provide both a detailed report for fact-checkers and a concise summary for general readers. The languages of the content might not be in English.
Input: Each case/task will provide (in a zip file):
Multimedia Content: Image(s) or video(s)
Associated Context: Captions, descriptions, social media posts, news articles, metadata (if available)
Additional Clues: Possible sources, claims, or fact-checker notes (if relevant)
Output: A verification report (as a text file) in English. The report should include the following key information:
Summary of Key Points: Provide a concise overview of the content, including relevant details. Clearly highlight any uncertainties and underline what is not yet known.
Content Category: Assign relevant tags based on platforms, people, brands, or specific topics.
Forensic Analysis Results:
Authenticity: Determine if the content is synthetic, modified, or recaptured.
Tools & Methods Used: Specify the verification tools and techniques applied.
Synthetic Type (if applicable): Identify whether it was generated using GANs, Stable Diffusion, or other AI models.
Other Artifacts: Note any detected anomalies or manipulations.
Verified Evidence: State what can be confirmed about the video/photo based on available evidence.
Source Details: Where the content comes from (URLs, original posts, etc.)
Where? (Location)
When? (Time)
Who? (People, organizations, entities involved)
Why? (Possible motivations or intent)
Other Evidence & Findings: Any additional relevant information, supporting materials, or external sources
Note: For each evidence finding, specify the failure type if verification fails: Indeterminate (insufficient or ambiguous data), Inconclusive (attempted but no definitive result), or Not Feasible (limited expertise or tools).
Stage 1 – Training (March). Organizers provide 50 known cases with inputs and expected outputs. Participants register, explore the tasks, and practice verification.
Stage 2 – Validation (March). Organizers release 10 new cases with input only. Participants submit verification reports and describe their methodology, and may optionally submit a scientific paper. Submissions are evaluated, and only teams that pass the validation stage qualify for the final competition.
Stage 3 – Real-World Verification (April 7–15). Only validated teams advance. Organizers provide 10 real-time cases reflecting ongoing misinformation challenges. Participants verify the cases, submit results, and may optionally submit a camera-ready paper.