Growing recognition of the potential for exploitation of personal data and of the shortcomings of prior privacy regimes has led to the passage of a multitude of new privacy regulations. Some of these laws—notably the European Union’s General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA)—have been the focus of large bodies of research by the computer science community, while others have received less attention. In this work, we analyze a set of 24 privacy laws and data protection regulations drawn from around the world—both those that have frequently been studied by computer scientists and those that have not—and develop a taxonomy of rights granted and obligations imposed by these laws. We then leverage this taxonomy to systematize 270 technical research papers published in computer science venues that investigate the impact of these laws and explore how technical solutions can complement legal protections. Finally, we analyze the results in this space through an inter-disciplinary lens and make recommendations for future work at the intersection of computer science and legal privacy.

Designing technical systems to be resistant to bias and discrimination represents vital new terrain for researchers, policymakers, and the anti-discrimination project more broadly. We consider bias and discrimination in the context of popular online dating and hookup platforms in the United States, which we call intimate platforms. Drawing on work in social-justice-oriented and Queer HCI, we review design features of popular intimate platforms and their potential role in exacerbating or mitigating interpersonal bias. We argue that focusing on platform design can reveal opportunities to reshape troubling patterns of intimate contact without overriding users' decisional autonomy. We identify and address the difficult ethical questions that nevertheless come along with such intervention, while urging the social computing community to engage more deeply with issues of bias, discrimination, and exclusion in the study and design of intimate platforms.

Grindr, a location-based real-time dating application, provides sexual-minority men (SMM) a space through which they can identify, access, and communicate with one another. Although previous research has examined user motivations and public self-disclosure patterns on Grindr, we investigate the effects intimate self-disclosure and sexting via the application's private messaging on internalized homophobia and loneliness. Using the Internet-enhanced self-disclosure hypothesis (ISDH) as a framework, we conducted an online survey of 274 Grindr users. Serial mediation analysis showed support for the ISDH, suggesting that Grindr use was negatively associated with loneliness. Intimate self-disclosure and internalized homophobia mediated the relationship between Grindr use and loneliness, but sexting had no relationship with internalized homophobia or loneliness. We discuss implications for the ISDH, Grindr, self-disclosure, and sexting.