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Machine Learning

Computer Vision

CHI 2018

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In this project, we analyze blocking mechanisms on social media. We perform a comparative analysis of different technologies and socially curated block-lists on Twitter. We also conduct interviews with users who are on such block-lists as well as those who subscribe to them. Our analysis reveals nuances of online harassment and the tactics used by harassers. We discuss the limitations of state of the art moderation used by social media platforms like Facebook, Twitter, etc.
Social Media is changing our world. Traditional narratives paint a picture of many-to-many democratization of information--making ideas, opinions, education, and knowledge available to many people in many places at any time. This research examines whether this is actually the case, especially in countries with a totalitarian government. Through an interview-based study of Cuban participants on social media, this project explores both the limitations and opportunities of cyber networks as tools for individuals to create collaborative narratives and affect social change.

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