News Consumption Behaviors and Misinformation Perception

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From my perspective, this project was a deeply personal response to the increasingly fragmented and manipulative nature of digital information ecosystems. As someone who studies the intersection of human behavior, AI, and design, I was especially motivated to go beyond technical detection and ask: What actually works for people in the moment they encounter questionable content? What makes this work both unique and timely is its focus on the lived experience of news consumption. Rather than treating misinformation as a purely computational problem, we examined how users interpret, react to, and sometimes reject interventions especially when trust is low or cognitive load is high. With elections, public health, and global conflicts now playing out through digital media, understanding this human layer is essential for building tools that not only detect misinformation, but actually help people think critically and make informed choices.

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