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Social Computing, Communities, and Public Information / Media Content Understanding and Information Follow-Up

Viewers struggle to critically reflect on and respond to misleading information when watching online health videos.

lightbulbPractical problemMedia Content Understanding and Information Follow-Up

Viewers struggle to critically reflect on and respond to misleading information when watching online health videos.

CSCW '23DeepThinkingMap: Collaborative Video Reflection System with Graph-based Summarizing and Commenting

Similar questions

lightbulbPractical problemMedia Content Understanding and Information Follow-Up

Young viewers watching political debates often struggle to follow and understand key points due to information overload.

IUI '25AiModerator: A Co-Pilot for Hyper-Contextualization in Political Debate Video

lightbulbPractical problemMedia Content Understanding and Information Follow-Up

Young viewers easily become distracted searching for match information across platforms and miss key moments.

IUI '24AiCommentator: A Multimodal Conversational Agent for Embedded Visualization in Football Viewing

lightbulbPractical problemMedia Content Understanding and Information Follow-Up

News organizations struggle to adapt traditional text news into short videos that attract young audiences.

CHI '24ReelFramer: Human-AI Co-Creation for News-to-Video Translation

lightbulbPractical problemMedia Content Understanding and Information Follow-Up

Sudden ad insertion during mobile video viewing is frustrating and harms experience.

UbiComp '23AdJustMoment: Customize Your Ad Watching Experience

Related papers

AiModerator: A Co-Pilot for Hyper-Contextualization in Political Debate Video

Peter Andrews, Njål Borch, Morten Fjeld

AiCommentator: A Multimodal Conversational Agent for Embedded Visualization in Football Viewing

Peter Andrews, Oda Elise Nordberg, Stephanie Zubicueta Portales

ReelFramer: Human-AI Co-Creation for News-to-Video Translation

Sitong Wang, Samia Menon, Tao Long