







In times of physical distancing, such as during the COVID-19 pandemic, people are likely to turn to digital communication to replace in-person interactions. Yet, persisting digital inequality suggests that not everyone will be equally able or disposed to increasing digital communication during a public health crisis. Using survey data from a national sample of U.S. participants (N = 2,925) that we collected during the early months of the pandemic, we analyzed how sociodemographics, living arrangements, and Internet experiences and skills relate to increases and decreases in various digital communication methods. We find that people privileged in their socioeconomic status, their Internet skills and online experiences are more likely to increase and less likely to decrease digital communication during the pandemic. The findings illustrate how digital inequalities can put already disadvantaged groups at greater risk of diminished social contact during a public health crisis. We discuss the theoretical implications of our findings for digital inequality research, the practical implications for inclusive crisis responses, and directions for future research.
Social Media and Change in Psychological Distress Over Time: The Role of Social Causation
Abstract This article tests the relationship between information and communication technologies (ICT), such as the Internet, cell phones, and social media, and change over time in psychological distress (PD) and risk of serious psychological distress (SPD) associated with depression and anxiety disorders. Using a longitudinal panel design, survey data from a representative sample of American adults, findings revealed that home Internet and social network site (SNS) use are associated with decreased PD over time. Having extended family who are also Internet users further decreases PD. PD increased or decreased in relation to change in the PD of extended family who also use SNSs. For most people, ICT substantively reduce PD; in rare cases, an extreme spike in PD of extended family also on SNSs, there was a trivial increase to the risk of SPD. PD did not change when extended family not on social media experienced a change in their PD.

Homebound: The Long-Term Rise in Time Spent at Home Among U.S. Adults
The changes in daily life induced by the COVID-19 pandemic brought renewed attention to longstanding concerns about social isolation in the United States. Despite the links between the physical setting for individuals' daily lives and their connections with family, friends, and the various institutions of collective life, trends in where American adults spend their time have been largely overlooked as researchers have focused on how and with whom they spend their time. This article analyzes data from the American Time Use Survey over a timeframe spanning nineteen years and argues that the changes in Americans' daily routines induced by the COVID era should be seen as an acceleration of a longer-term trend: the rise of time spent at home. Results show that from 2003 to 2022, average time spent at home among American adults has risen by one hour and 39 minutes in a typical day. Time at home has risen for every subset of the population and for virtually all activities. Preliminary analysis indicates that time at home is associated with lower levels of happiness and less meaning, suggesting the need for enhanced empirical attention to this major shift in the setting of American life.

Homebound: The Long-Term Rise in Time Spent at Home Among U.S. Adults
The changes in daily life induced by the COVID-19 pandemic brought renewed attention to longstanding concerns about social isolation in the United States. Despite the links between the physical setting for individuals' daily lives and their connections with family, friends, and the various institutions of collective life, trends in where American adults spend their time have been largely overlooked as researchers have focused on how and with whom they spend their time. This article analyzes data from the American Time Use Survey over a timeframe spanning nineteen years and argues that the changes in Americans' daily routines induced by the COVID era should be seen as an acceleration of a longer-term trend: the rise of time spent at home. Results show that from 2003 to 2022, average time spent at home among American adults has risen by one hour and 39 minutes in a typical day. Time at home has risen for every subset of the population and for virtually all activities. Preliminary analysis indicates that time at home is associated with lower levels of happiness and less meaning, suggesting the need for enhanced empirical attention to this major shift in the setting of American life.

The association between adolescent well-being and digital technology use
The widespread use of digital technologies by young people has spurred speculation that their regular use negatively impacts psychological well-being. Current empirical evidence supporting this idea is largely based on secondary analyses of large-scale social datasets. Though these datasets provide a valuable resource for highly powered investigations, their many variables and observations are often explored with an analytical flexibility that marks small effects as statistically significant, thereby leading to potential false positives and conflicting results. Here we address these methodological challenges by applying specification curve analysis (SCA) across three large-scale social datasets (total n = 355,358) to rigorously examine correlational evidence for the effects of digital technology on adolescents. The association we find between digital technology use and adolescent well-being is negative but small, explaining at most 0.4% of the variation in well-being. Taking the broader context of the data into account suggests that these effects are too small to warrant policy change.

No Sense of Place: The Impact of Electronic Media on Social Behavior
Electronic media present us with a collage of experiences from everyplace. We eat dinner at home while watching starving children thousands of miles away reach out to us for food. From our easy chairs, we stare at blindfolded hostages, and coolly
The Internet's Meaning Crisis
Parasocial media is a response to excessive irrelevance

the chronically online will become a new underclass
The Slow Death of Online Safety
Women Worry, Men Adopt: How Gendered Perceptions Shape the Use of Generative AI
Generative artificial intelligence (GenAI) is diffusing rapidly, yet its adoption is strikingly unequal. Using nationally representative UK survey data from 2023 to 2024, we show that women adopt GenAI substantially less often than men because they perceive its societal risks differently. We construct a composite index capturing concerns about mental health, privacy, climate impact, and labor market disruption. This index explains between 9 and 18 percent of the variation in GenAI adoption and ranks among the strongest predictors for women across all age groups, surpassing digital literacy and education for young women. Intersectional analyses show that the largest disparities arise among younger, digitally fluent individuals with high societal risk concerns, where gender gaps in personal use exceed 45 percentage points. Using a synthetic twin panel design, we show that increased optimism about AI's societal impact raises GenAI use among young women from 13 percent to 33 percent, substantially narrowing the gender divide. These findings indicate that gendered perceptions of AI's social and ethical consequences, rather than access or capability, are the primary drivers of unequal GenAI adoption, with implications for productivity, skill formation, and economic inequality in an AI enabled economy.

The Impact of Internet and Social Media Use on Well-Being: A Longitudinal Analysis of Adolescents Across Nine Years
Abstract The present research examines the longitudinal average impact of frequency of use of Internet and social networking sites (SNS) on subjective well-being of adolescents in Germany. Based on five-wave panel data that cover a period of nine years, we disentangle between-person and within-person effects of media use on depressive symptomatology and life satisfaction as indicators of subjective well-being. Additionally, we control for confounders such as TV use, self-esteem, and satisfaction with friends. We found that frequency of Internet use in general and use of SNS in particular is not substantially related subjective well-being. The explanatory power of general Internet use or SNS use to predict between-person differences or within-person change in subjective well-being is close to zero. TV use, a potentially confounding variable, is negatively related to satisfaction with life, but it does not affect depressive symptomatology. However, this effect is too small to be of practical relevance.

Stewardship of global collective behavior
Collective behavior provides a framework for understanding how the actions and properties of groups emerge from the way individuals generate and share information. In humans, information flows were initially shaped by natural selection yet are increasingly structured by emerging communication technologies. Our larger, more complex social networks now transfer high-fidelity information over vast distances at low cost. The digital age and the rise of social media have accelerated changes to our social systems, with poorly understood functional consequences. This gap in our knowledge represents a principal challenge to scientific progress, democracy, and actions to address global crises. We argue that the study of collective behavior must rise to a “crisis discipline” just as medicine, conservation, and climate science have, with a focus on providing actionable insight to policymakers and regulators for the stewardship of social systems.

Facts and Figures 2023 - The gender digital divide
The percentage of men and women using the Internet.

Governing Online Speech: From 'Posts-As-Trumps' to Proportionality and Probability
Online speech governance stands at an inflexion point. Platforms are emerging from the state of emergency invoked during the pandemic and lawmakers are poised t
#cybersafety #ageverification #privacy #minors #ai | Parry Aftab
Internet Age-Verification Causing More Risks than It’s Worth This is not a new issue. Regulators and policymakers have raised it for the last 28 years as the way the keep kids safer online. They compare it to having to flash an ID to purchase regulated content or items (porn, cigarettes, alcohol, restricted medications, age-restricted movies, amusement rides, etc.) But verification online is very different and vastly riskier than flashing an ID in real life. For one, it’s collecting personally-identifiable information about our kids. For two, it puts that information in the too-often untrustworthy digital hands of tech companies. For three, while porn, alcohol and regulated drugs may be a clear-cut case for restricting access to adults, access to the Internet is very different. Yet, regulations begun in the UK and adopted globally have begun a weighted cybersafety approach that, in my humble opinion, prefers excluding young people from digital technology over teaching the cybersafety and digital life skills. That, in my 32 years of work in the fields of cybersafety and protection of minors online, was and remains a mistake. One of my best known quotes, repeated in Congressional and state legislative testimony and in the media is: “The greatest single risk our children face online is being denied access. We have solutions for everything else.” (my testimony before the FTC) Some proponents of age-verification have opted to denying them access unless they give up confirmable personally-identifiable info, such as selfies, feeding AI with PII, and govt or school credentials. I argue that this gives social networks, game providers and digital app operators a wealth of PII to be used for profiling, marketing and collecting far too much. With their privacy at stake, too often incompetent, malicious and greedy producers and mega-tech industry players, can’t and shouldn’t be trusted with the personal info of our most vulnerable - our kids. And AI will now be tasked with collecting everything it can find about our kids to be able to “age-verify.” (It’s ability to age-verify is less reliable with youth as their data-sets are more limited.) I served on a task force appointed by 49 state attorneys general, charged to research and weigh-in on this issue. We concluded that age-verification wasn’t feasible. While this task force was formed many years ago, with the exception of a fortified AI, not much as changed. Our children’s privacy remains, or should remain, paramount. We have robust filtering and blocking technologies. The adult industry has adopted an age-gated model. And parents can restrict access using device-specific tools. And, many well-intentioned age-verification laws were adopted too quickly for thoughtful discourse. Or by governments more prone to censorship/content restrictions. I fear in our quest to protect our kids we have thrown our babies out with the bath water. #cybersafety #ageverification #privacy #minors #AI
The Local Connection Crisis: New Data on What Communities Need
Computer-Mediated Communication, Social Media, and Mental Health: A Conceptual and Empirical Meta-Review
Computer-mediated communication (CMC), and specifically social media, may affect the mental health (MH) and well-being of its users, for better or worse. Research on this topic has accumulated rapidly, accompanied by controversial public debate and numerous systematic reviews and meta-analyses. Yet, a higher-level integration of the multiple disparate conceptual and operational approaches to CMC and MH and individual review findings is desperately needed. To this end, we first develop two organizing frameworks that systematize conceptual and operational approaches to CMC and MH. Based on these frameworks, we integrate the literature through a meta-review of 34 reviews and a content analysis of 594 publications. Meta-analytic evidence, overall, suggests a small negative association between social media use and MH. However, effects are complex and depend on the CMC and MH indicators investigated. Based on our conceptual review and the evidence synthesis, we devise an agenda for future research in this interdisciplinary field.
