Globally, the use of mobile phones for improving access to healthcare and conducting
health research has gained traction in recent years as rates of ownership increase …

Usable privacy and security researchers have developed a variety of approaches to
represent risk to research participants. To understand how these approaches are used and …

" Human-centered machine learning"(HCML) combines human insights and domain
expertise with data-driven predictions to answer societal questions. This area's inherent …

In March 2018, news of the Facebook-Cambridge Analytica scandal made headlines around
the world. By inappropriately collecting data from approximately 87 million users' Facebook …

Even as public pressure mounts for technology companies to consider societal impacts of
products, industries and governments in the AI race are demanding technical talent. To meet …

Emotion recognition algorithms recognize, infer, and harvest emotions using data sources
such as social media behavior, streaming service use, voice, facial expressions, and …

As sites where social media corporations profess their commitment to principles like
community and free speech, policy documents function as boundary objects that navigate …

How to ethically conduct online platform-based research remains an unsettled issue and the
source of continued controversy. The Facebook emotional contagion study, in which …

In this paper we present a methodology to analyze users' concerns and perspectives about
privacy at scale. We leverage NLP techniques to process millions of mobile app reviews and …

As online fandom continues to grow, so do the public data created by fan creations and
interactions. With researchers and journalists regularly engaging with those data (and not …