Explore the complex interplay between cognitive, social, and algorithmic biases that make us vulnerable to misinformation on social networks in this 58-minute seminar by Filippo Menczer from Indiana University. Delve into network analytics, modeling, and machine learning efforts aimed at studying the viral spread of false information and developing tools to counter online manipulation of opinions. Learn about viral memes, diffusional networks, competition for attention, agent-based models, algorithmic biases, social network structures, and the role of bots in spreading misinformation. Discover the challenges in distinguishing between bots and humans, the impact of hoaxing and automated messaging, and the effectiveness of super spreaders. Gain insights into potential strategies for reducing misinformation and enhancing media literacy in the age of social media.