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We are looking at identifying instances of Human Trafficking on online marketplaces and review sites. Using textual and visual cues, we are training a classifier to predict the likelihood of being trafficked.

This project will focus on the impact of typeface identification to facilitate the visual design process. It will help identify the issues that hinder designer's creativity, provide support for their acquisition of inspirations and relieve them from organizing collectibles, design artifacts. The expected prototype will reflect the mental model for typeface categorization, and make a designer's workflow smooth and enjoyable.

Followers are Twitter's most basic currency. Building an audience of followers can create access to a network of social ties, resources, and influence. Yet, little is understood about how to grow such an audience. We examine multiple factors that affect tie formation and dissolution over time on the social media service Twitter. We collected behavioral, content, and network data approximately every three months for fifteen months and compared the relative contributions of 22 variables from each perspective for predicting link formations in online social networks.