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  1. The Sociology of Gaslighting

    Gaslighting—a type of psychological abuse aimed at making victims seem or feel “crazy,” creating a “surreal” interpersonal environment—has captured public attention. Despite the popularity of the term, sociologists have ignored gaslighting, leaving it to be theorized by psychologists. However, this article argues that gaslighting is primarily a sociological rather than a psychological phenomenon. Gaslighting should be understood as rooted in social inequalities, including gender, and executed in power-laden intimate relationships.
  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. Equifinality and Pathways to Environmental Concern: A Fuzzy-Set Analysis

    Studying how people understand and develop concern for environmental problems is a key area of research within environmental sociology. Previous research shows that numerous social factors have measurable effects on environmental concern. However, results tend to be somewhat inconsistent across studies on this topic. One possible explanation for this is because these social factors are typically examined as independent from one another. However, these factors are interrelated in complex ways, as shown by research on the moderating effects of race and political ideology on education.
  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. Cabdrivers and Their Fares: Temporal Structures of a Linking Ecology

    The author argues that behind the apparent randomness of interactions between cabdrivers and their fares in Warsaw is a temporal structure. To capture this temporal structure, the author introduces the notion of a linking ecology. He argues that the Warsaw taxi market is a linking ecology, which is structured by religious time, state time, and family time. The author then focuses on waiting time, arguing that it too structures the interactions between cabdrivers and their fares.

  6. 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.
  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. Feeling at Home in the Neighborhood: Belonging, the House and the Plaza in Helsinki and Madrid

    Drawing on multisited ethnographic fieldwork in two historic, attractive, and socially mixed neighborhoods, Kumpula in Helsinki and Malasaña in Madrid, this paper examines what makes people feel at home (or not) in their neighborhood. Marrying the literatures on social belonging and materiality, we analyze the interactions through which local places, people, and materials become familiar and personal. We identify the house in Kumpula and the plaza in Madrid as “everyday totems” that weave local life and community together.

  10. The Civic Side of Diversity: Ambivalence and Belonging at the Neighborhood Level

    Although diversity has become a cherished ideal for Americans, a growing literature suggests that many are also ambivalent about lived experiences of diversity. Focusing on three historically homogeneous neighborhoods in Atlanta, Minneapolis, and Los Angeles, this paper explores the “civic talk” used to express this ambivalence through interrelated frames of social order and civic engagement. In all three neighborhoods, long‐term residents and neighborhood association members speak fluently about race, class, and other forms of diversity in their neighborhoods.