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  1. Do Sociology Courses Make More Empathetic Students? A Mixed-Methods Study of Empathy Change in Undergraduates

    Assessing course goals is often challenging; assessing an abstract goal, like empathy, can be especially so. For many instructors, empathy is central to sociological thinking. As such, fostering empathy in students is a common course goal. In this article, we report the initial findings of a semester-long assessment of empathy change in undergraduate students (N = 619). We employ a mixed-methods research design that utilizes qualitative instructor data to determine independent instructor-level variables and student surveys to measure student empathy change.
  2. 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).
  3. Who Wants to Lead? Anticipated Gender Discrimination Reduces Women’s Leadership Ambitions

    We examine whether anticipated gender discrimination—specifically, gendered sanctions for leadership failure—decreases women’s leadership ambitions. We find that laypeople expect that women leaders will be punished more harshly for failure than otherwise similar men. We also compare the leadership ambitions of women and men under conditions of benign and costly failure and find that leadership roles with costly failure—which implicitly have the potential for gendered sanctions for failure—disproportionally depress women’s leadership ambitions relative to men’s.
  4. 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).
  5. Essay: Sociology's New Steps?

    It was the devastating problems linked to the dramatic shift from farm to factory during the nineteenth century that fueled sociology’s origins, whether we turn to Comte, Marx, Weber, Durkheim, or Simmel. Building on the eighteenth-century Enlightenment spirit of the power of reason and freedom as well as the triumphs of the biophysical sciences, they envisaged a powerful science of human behavior that could solve those problems.

  6. Review Essay: Back to the Future

    In one of my undergraduate courses, I show students a photo of Paul Lazarsfeld and Frank Stanton. Of course, neither social scientist is familiar to them, but I argue to my students that Lazarsfeld had a bigger impact on the daily practice of sociology than any member of the Marx/Weber/Durkheim triumvirate they study in classical theory.

  7. Why Do Advantaged People Feel Unhappy? Effects of Materialistic Values on Subjective Well-Being

    This article aims to explore the relationship between income and happiness. As shown by the Easterlin paradox, the relationship between income and happiness is not simple but indeed is rather complicated. The author used finite mixtures of regression models to analyze the data from the National Survey of Social Stratification and Social Mobility conducted in Japan and implemented computer simulations based on the results of the finite mixtures of regression models to examine how changes in social values influence the relationship between income and happiness.

  8. 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.
  9. Stigmatization of War Veterans with Posttraumatic Stress Disorder (PTSD): Stereotyping and Social Distance Findings

    Posttraumatic stress disorder (PTSD) affects a significant portion of the US population, but there remains limited information on public responses to affected individuals. Diagnosed mental illnesses can lead to negative stereotyping by the public, who can then socially exclude or otherwise discriminate. This paper presents results of an experiment (N = 830) that assessed the extent to which workers with PTSD labels—either resulting from an auto accident or wartime military service—evoked negative stereotypes in a workplace scenario and social distance from study participants.

  10. The Black-White Paradox Revisited: Understanding the Role of Counterbalancing Mechanisms during Adolescence

    The tendency for blacks to report similar or better mental health than whites has served as an enduring paradox in the mental health literature for the past three decades. However, a debate persists about the mechanisms that underlie this paradox. Drawing on the stress process framework, we consider the counterbalancing roles of self-esteem and traumatic stress exposure in understanding the “black-white paradox” among U.S. adolescents.