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  1. 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).
  2. 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).
  3. 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.

  4. Collective Social Identity: Synthesizing Identity Theory and Social Identity Theory Using Digital Data

    Identity theory (IT) and social identity theory (SIT) are eminent research programs from sociology and psychology, respectively. We test collective identity as a point of convergence between the two programs. Collective identity is a subtheory of SIT that pertains to activist identification. Collective identity maps closely onto identity theory’s group/social identity, which refers to identification with socially situated identity categories. We propose conceptualizing collective identity as a type of group/social identity, integrating activist collectives into the identity theory model.
  5. Public Concern about Terrorism: Fear, Worry, and Support for Anti-Muslim Policies

    In the era of 9/11, terrorist attacks occur with sufficient frequency and lethality to constitute a realistic threat to the well-being of the American public. Sensing this concern, politicians emphasize the threat of violent attacks to advance a platform of making public safety a priority. In this context, the authors assess the extent, sources, and emotional impact of the public’s concern about terrorism. On the basis of a national survey of 1,000 Americans, the authors examine levels of fear of a terrorist attack and worry about terrorism relative to other potential harms.

  6. Weathering, Drugs, and Whack-a-Mole: Fundamental and Proximate Causes of Widening Educational Inequity in U.S. Life Expectancy by Sex and Race, 1990–2015

    Discussion of growing inequity in U.S. life expectancy increasingly focuses on the popularized narrative that it is driven by a surge of “deaths of despair.” Does this narrative fit the empirical evidence? Using census and Vital Statistics data, we apply life-table methods to calculate cause-specific years of life lost between ages 25 and 84 by sex and educational rank for non-Hispanic blacks and whites in 1990 and 2015. Drug overdoses do contribute importantly to widening inequity for whites, especially men, but trivially for blacks.

  7. Trouble in Tech Paradise

    The structures of the tech industry, with its dependence on highly skilled immigrant workers, and the H-1B visa, with its dependence on sponsoring companies, bind tech workers in a cycle of legal violence.

  8. Are Robots Stealing Our Jobs?

    The media and popular business press often invoke narratives that reflect widespread anxiety that robots may be rendering humans obsolete in the workplace. However, upon closer examination, many argue that automation, including robotics and artificial intelligence, is spreading unevenly throughout the labor market, such that middle-skill occupations that do not require a college degree are more likely to be affected adversely because they are easier to automate than high-skill occupations.

  9. Immigrant Generation, Stress Exposure, and Substance Abuse among a South Florida Sample of Hispanic Young Adults

    Existing research finds that succeeding immigrant generations are at greater risk for mental health problems as well as higher levels of substance use. Previous studies have attempted to unpack the role of acculturation stress, discrimination, and other factors in these outcomes. Using data from a community-based sample of Miami-Dade County young adults, we use an empirically and theoretically precise measurement of generational status, allowing us to better understand the process of acculturation and adaptation experienced by each generation.

  10. The Commons: Separating Tragedy and Triumph at a City Park

    Littering in a city park is often considered a capricious act of neglect associated with simple carelessness. Using Ostrom's model, Governing the Commons, this research finds that littering is correlated with specific park activities. This article advances our understanding of the Commons and littering by considering the concept of “pollution,” as well as understanding patterns of litter for a communal city.