Information seeking is crucial for people's self-care and wellbeing in times of public crises. Extensive research has investigated empirical understandings as well as technical solutions to facilitate information seeking by domestic citizens of affected ...

The computational capabilities of recent mobile devices enable the processing of natural features for Augmented Reality (AR), but the scalability is still limited by the devices' computation power and available resources. In this paper, we propose ...

Prior work on transgender technology users in CSCW has primarily focused on how they interact with algorithms and communication technology, empirically identifying specific use cases and profiles, and speaking largely to the designers and developers of ...

Concern about algorithmically-curated content and its impact on democracy is reaching a fever pitch worldwide. But relative to the role of social media in electoral processes, the role of search results has received less public attention. We develop a ...

This paper studies commonalities in response across disasters in online social networks (OSNs), specifically Twitter. After presenting an algorithm for extracting vocabularies across disasters, we extract type-specific vocabularies for terrorist attacks, ...

Understanding tobacco- and alcohol-related behavioral patterns is critical for uncovering risk factors and potentially designing targeted social computing intervention systems. Given that we make choices multiple times per day, hourly and daily patterns ...

Audio annotation is key to developing machine-listening systems; yet, effective ways to accurately and rapidly obtain crowdsourced audio annotations is understudied. In this work, we seek to quantify the reliability/redundancy trade-off in crowdsourced ...