While big data offer exciting opportunities to address questions about social behavior, studies must not abandon traditionally important considerations of social science research such as data ...representativeness and sampling biases. Many big data studies rely on traces of people’s behavior on social media platforms such as opinions expressed through Twitter posts. How representative are such data? Whose voices are most likely to show up on such sites? Analyzing survey data about a national sample of American adults’ social network site usage, this article examines what user characteristics are associated with the adoption of such sites. Findings suggest that several sociodemographic factors relate to who adopts such sites. Those of higher socioeconomic status are more likely to be on several platforms suggesting that big data derived from social media tend to oversample the views of more privileged people. Additionally, Internet skills are related to using such sites, again showing that opinions visible on these sites do not represent all types of people equally. The article cautions against relying on content from such sites as the sole basis of data to avoid disproportionately ignoring the perspectives of the less privileged. Whether business interests or policy considerations, it is important that decisions that concern the whole population are not based on the results of analyses that favor the opinions of those who are already better off.
This article discusses methodological challenges of using big data that rely on specific sites and services as their sampling frames, focusing on social network sites in particular. It draws on ...survey data to show that people do not select into the use of such sites randomly. Instead, use is biased in certain ways yielding samples that limit the generalizability of findings. Results show that age, gender, race/ethnicity, socioeconomic status, online experiences, and Internet skills all influence the social network sites people use and thus where traces of their behavior show up. This has implications for the types of conclusions one can draw from data derived from users of specific sites. The article ends by noting how big data studies can address the shortcomings that result from biased sampling frames.
As the world population ages and older adults comprise a growing proportion of current and potential Internet users, understanding the state of Internet use among older adults as well as the ways ...their use has evolved may clarify how best to support digital media use within this population. This article synthesizes the quantitative literature on Internet use among older adults, including trends in access, skills, and types of use, while exploring social inequalities in relation to each domain. We also review work on the relationship between health and Internet use, particularly relevant for older adults. We close with specific recommendations for future work, including a call for studies better representing the diversity of older adulthood and greater standardization of question design.
As opportunities for social interactions proliferate online, questions arise as to how engagement in such activities may relate to mental health. Given older adults’ shrinking networks and increasing ...use of information and communication technologies (ICTs), online interactions could offer alternatives for connections that could ultimately benefit older users’ mental health. This article examines associations between older adults’ online social engagement and their mental health. Using data from an online survey of older adults ages 60+, we find positive and negative associations between different forms of online social engagement and anxiety. In terms of depression, two forms of online social engagement showed positive associations with this mental health indicator. Our results can help explain inconclusive findings of previous research on ICT use and mental health by looking at how specific online social activities relate to mental health.
When people construct and share posts on social network sites like Facebook and Twitter, whom do they imagine as their audience? How do users describe this imagined audience? Do they have a ...sub-audience in mind (e.g., “friends who like reality television”)? Do they share more broadly and abstractly (e.g., “the public”)? Do such imaginings fluctuate each time a person posts? Using a mixed-methods approach involving a 2-month-long diary study of 119 diverse American adults and their 1,200 social network site posts, supplemented with follow-up interviews (N = 30), this study explores the imagined audience on social network sites. The findings reveal that even though users often interacted with large diverse audiences as they posted, they coped by envisioning either very broad abstract imagined audiences or more targeted specific imagined audiences composed of personal ties, professional ties, communal ties, and/or phantasmal ties. When people had target imagined audiences in mind, they were most often homogeneous and composed of people’s friends and family. Users’ imaginings typically fluctuated among these audience types as they posted even though the potential audience as per their posts’ privacy settings often did not change. The findings provide a list of audience types, as well as detailed descriptions, examples, and frequencies on which future research can build. With people’s online presence playing an important role for their reputations, these findings provide more insight into for whom people are managing their privacy and whom they have in mind as they share.
Governments and public health institutions across the globe have set social distancing and stay-at-home guidelines to battle the COVID-19 pandemic. With reduced opportunities to spend time together ...in person come new challenges to remain socially connected. This essay addresses how the pandemic has changed people’s use of digital communication methods, and how inequalities in the use of these methods may arise. We draw on data collected from 1,374 American adults between 4 and 8 April 2020, about two weeks after lockdown measures were introduced in various parts of the United States. We first address whether people changed their digital media use to reach out to friends and family, looking into voice calls, video calls, text messaging, social media, and online games. Then, we show how age, gender, living alone, concerns about Internet access, and Internet skills relate to changes in social contact during the pandemic. We discuss how the use of digital media for social connection during a global public health crisis may be unequally distributed among citizens and may continue to shape inequalities even after the pandemic is over. Such insights are important considering the possible impact of the COVID-19 pandemic on people’s social wellbeing. We also discuss how changes in digital media use might outlast the pandemic, and what this means for future communication and media research.
With over 500 million users, the decisions that Facebook makes about its privacy settings have the potential to influence many people. While its changes in this domain have often prompted privacy ...advocates and news media to critique the company, Facebook has continued to attract more users to its service. This raises a question about whether or not Facebook's changes in privacy approaches matter and, if so, to whom. This paper examines the attitudes and practices of a cohort of 18- and 19-year-olds surveyed in 2009 and again in 2010 about Facebook's privacy settings. Our results challenge widespread assumptions that youth do not care about and are not engaged with navigating privacy. We find that, while not universal, modifications to privacy settings have increased during a year in which Facebook's approach to privacy was hotly contested. We also find that both frequency and type of Facebook use as well as Internet skill are correlated with making modifications to privacy settings. In contrast, we observe few gender differences in how young adults approach their Facebook privacy settings, which is notable given that gender differences exist in so many other domains online. We discuss the possible reasons for our findings and their implications.
The primary tension in public discourse about the U.S. government’s response to the coronavirus pandemic has been President Trump’s disagreement with scientists. The authors analyze a national survey ...of 1,593 Americans to examine which social groups agree with scientists’ ability to understand the novel coronavirus (COVID-19) and which agree that COVID-19 scientists share their values. Republicans and independents are less trusting than Democrats on both measures, as are African Americans. The authors find conservative Protestants and Catholics to be skeptical of scientists’ knowledge but not their values. Working-class men and those who live outside cities believe in scientists’ knowledge but do not think they share scientists’ values. There is little evidence for a direct effect of President Trump’s criticism of scientists. The authors discuss the pragmatic implications for scientists trying to remain influential in COVID-19 policy.
The COVID-19 pandemic and the ensuing stay-at-home orders caused tremendous restrictions in social contacts, which led to increasing use of the internet for daily tasks and social interactions. As ...prior research has established, people with disabilities (PWD) had already been using the internet for such purposes prior to the pandemic, especially for health-related content. Through a national survey administered during the first few weeks of the pandemic in the United States, we explore how people with and without disabilities used social media to exchange information and engage in activities about COVID-19. Findings reveal that PWD were more engaged with information about COVID-19 than those without disabilities, even when controlling for sociodemographics and internet experiences and skills. These differences are especially pronounced concerning more active engagement such as sharing information, interacting, and supporting others on social media. Although the content is about a health crisis in which PWD are disproportionately vulnerable, these effects largely remain when we enter controls for health status, belonging to high-risk groups for COVID-19, and personal experiences with COVID-19. Findings highlight the benefits of universal design, both for PWD specifically, and for society more broadly, as the general population ramps up use of tools long fought for and used by PWD.
What motivates young adults to start using the popular microblogging site Twitter? Can we identify any systematic patterns of adoption or is use of the service randomly distributed among internet ...users of this demographic? Drawing on unique longitudinal data surveying 505 diverse young American adults about their internet uses at two points in time (2009, 2010), this article looks at what explains the uptake of Twitter during the year when the site saw considerable increase in use. We find that African Americans are more likely to use the service as are those with higher internet skills. Results also suggest that interest in celebrity and entertainment news is a significant predictor of Twitter use mediating the effect of race among a diverse group of young adults. In contrast, interest in local and national news, international news, and politics shows no relationship to Twitter adoption in this population segment.
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