In today's digital age, misinformation distorts public opinion and blurs the line between truth and deception. Recognized as the #1 risk to public perception and security, disinformation spreads through deepfakes, biased narratives, and manipulated data. Your challenge is to develop a tool that enhances digital literacy and builds resistance to false information—promoting truth and trust without imposing an absolute "truth" or restricting free speech Your solution can target vulnerable communities, educators cultivating critical thinking, or policymakers making informed decisions. On a broader level, your tool should strengthen public resilience, foster trust in reliable sources, and improve access to verified information, empowering individuals to navigate the digital world with clarity and confidence.

As digital technologies evolve, so do the methods used to manipulate information—including deepfakes and altered multimedia content. This challenge calls for an automated solution to detect and verify the authenticity of images, videos, and audio clips circulating on social media and news platforms

Even claims that appear to be true can be misleading due to the way data is selected and presented. Selecting specific data while omitting other information can alter the validity of a claim. Therefore, an automated mechanism is needed to identify the source of the data on which a claim is based and assess whether it involves cherrypicking—that is, whether the selected data accurately represents the full picture.

בעידן של מידע אינסופי, משתמשים רבים נחשפים להתראות על חדשות כוזבות, אך לרוב אין להם דרך להבין מדוע המידע שגוי. חוסר ההסבר עלול לגרום לאנשים להתעלם מהאזהרה או אפילו לדחות אותה מתוך חשדנות. לכן, יש צורך במערכת שתוכל לא רק לזהות פייק ניוז, אלא גם להעניק למשתמשים הבנה ברורה ונתמכת ראיות לגבי הסיבות לכך.

"Fighting back with AI" seems like a promising avenue - using the powers of generative AI to respond on social media, persuade, balance opinions and create safer online spaces for discussion. However, GenAI can be a double-edged sword - we've seen both amusing and embarrassing cases where AI itself spread disinformation, argued for the "wrong side", etc. How might we engage the power and potential of GenAI to fight disinformation while avoiding these risks?

In today’s fast-paced digital landscape, false information can spread rapidly across traditional and social media, undermining public trust and destabilizing communities. Your challenge is to develop tools to identify false information in traditional and social media before it gains traction.

Currently, reporting suspected disinformation is often fragmented, requiring users to navigate different reporting mechanisms on each social media platform. A unified, platform-agnostic reporting system would streamline this process. Users could report suspected disinformation through a single interface, and the system would intelligently route these reports to the appropriate fact-checking organizations, research groups, or platform moderation teams based on the content type, source, and platform of origin. This would improve the efficiency of disinformation detection and analysis, allowing for a more coordinated and timely response. The system could also provide feedback to users on the outcome of their reports, increasing transparency and encouraging further participation.

Misinformation spreads fast, especially when digital literacy is low. This challenge calls for an interactive platform that helps users understand how disinformation works, spot biased content, and think critically about what they see online.