American Sociological Association

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  1. “He Explained It to Me and I Also Did It Myself”: How Older Adults Get Support with Their Technology Uses

    Given that older adults constitute a highly heterogeneous group that engages with digital media in varying ways, there is likely to be large variation in technology support needs, something heretofore unaddressed in the literature. Drawing on in-depth qualitative interviews with a multinational sample of older adults, the authors explore the support needs of older adults for using digital media, including their perceptions of whether the support they receive meets their needs.
  2. Race and Networks in the Job Search Process

    Racial disparities persist throughout the employment process, with African Americans experiencing significant barriers compared to whites. This article advances the understanding of racial labor market stratification by bringing new theoretical insights and original data to bear on the ways social networks shape racial disparities in employment opportunities. We develop and articulate two pathways through which networks may perpetuate racial inequality in the labor market: network access and network returns.
  3. Lay Pharmacovigilance and the Dramatization of Risk: Fluoroquinolone Harm on YouTube

    Sociologists have documented how the pharmaceutical industry has corrupted pharmacovigilance (PV), defined as the practices devoted to detecting and preventing adverse drug reactions (ADRs). In this article, I juxtapose the official postmarketing system of PV with firsthand accounts of ADRs as found in 60 YouTube vlogs created by 29 individuals who recount debilitating reactions to fluoroquinolones, a common class of antibiotics. Whereas official PV is said to contribute the banalization of risk, these vlogs exemplify the dramatization of risk. I consider the vlogs as instances of lay PV.
  4. Love Me Tinder, Love Me Sweet

    Are “hook up” apps leading to a new kind of dating culture on college campuses? Dating apps like Tinder and Bumble are have a different impact on the lives of college students versus older daters. Many students are using these apps to circumvent the romantic gatekeeping that campus party culture has long dominated.

  5. Review Essay: The Digital Surveillance Society

    When hundreds of thousands of protesters filled the streets of Hong Kong this summer, central figures reportedly took no selfies, avoided Facebook and Twitter, installed prepaid SIM cards, stuck to secure messaging apps, and used cash instead of rechargeable subway cards or other cashless payments. It is not clear whether this will help them avoid “conspiracy to commit public nuisance” charges, which led to prison sentences for leaders of the 2014 Umbrella movement (including sociologist Kin-man Chan).
  6. Featured Essay: Preventing Violence: Insights from Micro-Sociology

    Micro-sociology of violence looks at what happens in situations where people directly threaten violence, but only sometimes carry it out. This process and its turning points have become easier to see in the current era of visual data: cell-phone videos, long-distance telephoto lenses, CCTV cameras. New cues and instruments are on the horizon as we look at emotional signals, body rhythms, and monitors for body signs such as heart rate (a proxy for adrenaline level).
  7. Algorithmic Control in Platform Food Delivery Work

    Building on an emerging literature concerning algorithmic management, this article analyzes the processes by which food delivery platforms control workers and uncovers variation in the extent to which such platforms constrain the freedoms—over schedules and activities—associated with gig work.
  8. CASM: A Deep-Learning Approach for Identifying Collective Action Events with Text and Image Data from Social Media

    Protest event analysis is an important method for the study of collective action and social movements and typically draws on traditional media reports as the data source. We introduce collective action from social media (CASM)—a system that uses convolutional neural networks on image data and recurrent neural networks with long short-term memory on text data in a two-stage classifier to identify social media posts about offline collective action. We implement CASM on Chinese social media data and identify more than 100,000 collective action events from 2010 to 2017 (CASM-China).
  9. Industry, Firm, Job Title: The Layered Nature of Early-Career Advantage for Graduates of Elite Private Universities

    Using concepts associated with effectively maintained inequality theory and horizontal stratification, the authors ask whether the private-public dividing line is a “threshold of consequence” for early-career market entry. To address this empirically, the authors use a novel LinkedIn data set to analyze job pathways for the graduating class of 2016 from the top 25 private and top 25 public universities in the United States.

  10. Expensive Childcare and Short School Days = Lower Maternal Employment and More Time in Childcare? Evidence from the American Time Use Survey

    This study investigates the relationship between maternal employment and state-to-state differences in childcare cost and mean school day length. Pairing state-level measures with an individual-level sample of prime working-age mothers from the American Time Use Survey (2005–2014; n = 37,993), we assess the multilevel and time-varying effects of childcare costs and school day length on maternal full-time and part-time employment and childcare time.