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  1. 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).
  2. The Geometry of Culture: Analyzing the Meanings of Class through Word Embeddings

    We argue word embedding models are a useful tool for the study of culture using a historical analysis of shared understandings of social class as an empirical case. Word embeddings represent semantic relations between words as relationships between vectors in a high-dimensional space, specifying a relational model of meaning consistent with contemporary theories of culture.
  3. Mapping Cultural Schemas: From Theory to Method

    A growing body of research in sociology uses the concept of cultural schemas to explain how culture influences beliefs and actions. However, this work often relies on belief or attitude measures gleaned from survey data as indicators of schemas, failing to measure the cognitive associations that constitute schemas. In this article, we propose a concept-association-based approach for collecting data about individuals’ schematic associations, and a corresponding method for modeling concept network representations of shared cultural schemas.
  4. Queer Pop‐Ups: A Cultural Innovation in Urban Life

    Research on sexuality and space emphasizes geographic and institutional forms that are stable, established, and fixed. By narrowing their analytic gaze on such places, which include gayborhoods and bars, scholars use observations about changing public opinions, residential integration, and the closure of nighttime venues to conclude that queer urban and institutional life is in decline. We use queer pop‐up events to challenge these dominant arguments about urban sexualities and to advocate instead a “temporary turn” that analyzes the relationship between ephemerality and placemaking.

  5. 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).
  6. Talking Your Self into It: How and When Accounts Shape Motivation for Action

    Following Mills, several prominent sociologists have encouraged researchers to analyze actors’ motive talk not as data on the subjective desires that move them to pursue particular ends but as post hoc accounts oriented toward justifying actions already undertaken.
  7. Sociology's Greatest Hits of 2018

    From a study on the impact of racial resentment on political ideology to analysis of issues including minority college admissions, the success of lying demagogues, and public opposition to “religious freedom” laws, the most downloaded sociological research published in the American Sociological Association’s journals in 2018 spanned a wide range of topics and social concerns.

  8. Freedom and Frustration: Rachel Dolezal and the Meaning of Race

    Where ethnoracial boundaries are treated as rigid and real, their consequences are also rigid and real. But if Rachel Dolezal had lived in Brazil, she would have been just another negra frustrada.

  9. 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).
  10. Does Intra-household Contagion Cause an Increase in Prescription Opioid Use?

    Opioid use claims many thousands of lives each year. This article considers the diffusion of prescription opioid (PO) use within family households as one potential culprit of the proliferation of these medications. In an analysis of hundreds of millions of medical claims and almost 14 million opioid prescriptions in one state between 2010 and 2015, we show that the use of POs spreads within family households.