Scholarship on well-being and social media: A sociotechnical perspective.

Evaluating the well-being implications of social media use is challenging for many reasons, including finding appropriate theoretical and methodological approaches that do not exclusively center either the technology (and its structural features) or the user (and their motivations, psychological disposition, etc.). We argue that many research questions would benefit from a more integrated approach that fully acknowledges both these elements and their mutually constitutive relationship to one another. This essay highlights the possibilities presented by one intellectual tradition that acknowledges how the materiality of an artifact intertwines with social factors and allows us to better understand how technology and people mutually shape one another: the sociotechnical perspective. We describe three broad domains-self-presentation, social capital, and social support-that are relevant to one's well-being and are especially well-aligned with this approach.

More Than Just Privacy: Using Contextual Integrity to Evaluate the Long-Term Risks from COVID-19 Surveillance Technologies.

The global coronavirus pandemic has raised important questions regarding how to balance public health concerns with privacy protections for individual citizens. In this essay, we evaluate contact tracing apps, which have been offered as a technological solution to minimize the spread of COVID-19. We argue that apps such as those built on Google and Apple's "exposure notification system" should be evaluated in terms of the contextual integrity of information flows; in other words, the appropriateness of sharing health and location data will be contextually dependent on factors such as who will have access to data, as well as the transmission principles underlying data transfer. We also consider the role of prevailing social and political values in this assessment, including the large-scale social benefits that can be obtained through such information sharing. However, caution should be taken in violating contextual integrity, even in the case of a pandemic, because it risks a long-term loss of autonomy and growing function creep for surveillance and monitoring technologies.

Ethics Regulation in Social Computing Research: Examining the Role of Institutional Review Boards.

The parallel rise of pervasive data collection platforms and computational methods for collecting, analyzing, and drawing inferences from large quantities of user data has advanced social computing research, investigating digital traces to understand mediated behaviors of individuals, groups, and societies. At the same time, methods employed to access these data have raised questions about ethical research practices. This article provides insights into U.S. institutional review boards' (IRBs) attitudes and practices regulating social computing research. Through descriptive and inferential analysis of survey data from staff at 59 IRBs at research universities, we examine how IRBs evaluate the growing variety of studies using pervasive digital data. Findings unpack the difficulties IRB staff face evaluating increasingly technical research proposals while highlighting the belief in their ability to surmount these difficulties. They also indicate a lack of consensus among IRB staff about what should be reviewed and a willingness to work closely with researchers.

It's complicated: Facebook users' political participation in the 2008 election.

In the 2008 U.S. presidential election, social network sites such as Facebook allowed users to share their political beliefs, support specific candidates, and interact with others on political issues. But do political activities on Facebook affect political participation among young voters, a group traditionally perceived as apathetic in regard to civic engagement? Or do these activities represent another example of feel-good participation that has little real-world impact, a concept often referred to as "slacktivism"? Results from a survey of undergraduate students (N = 683) at a large public university in the Midwestern United States conducted in the month prior to the election found that students tend to engage in lightweight political participation both on Facebook and in other venues. Furthermore, two OLS regressions found that political activity on Facebook (e.g., posting a politically oriented status update, becoming a "fan" of a candidate) is a significant predictor of other forms of political participation (e.g., volunteering for an organizing, signing a paper or online petition), and that a number of factors--including intensity of Facebook use and the political activity users see their friends performing on the site--predict political activity on Facebook. Students' perceptions regarding the appropriateness of political activity on Facebook, as well as the specific kinds of political activities they engaged in and witnessed within the site, were also explored.