American Sociological Association

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  1. 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.

  2. 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).
  3. 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).
  4. “Daddies,” “Cougars,” and Their Partners Past Midlife: Gender Attitudes and Relationship and Sexual Well-Being among Older Adults in Age-Heterogenous Partnerships

    Discussion of “daddies” has exploded in popular discourse, yet there is little sociological research on age-heterogenous partnerships. This paper uses data from the 2013 Midlife in the United States survey and the 2015–2016 National Social Life, Health, and Aging Project to examine age-heterogenous partnerships at older ages (63 was the approximate average age of each sample).

  5. 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).
  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. Masculinity and Minority Stress among Men in Same-sex Relationships

    Although previous research has examined associations among masculinity, sexual orientation, minority stress, and mental health, these studies focused exclusively on individuals as units of analysis. This study investigates how men in same-sex relationships uniquely experience minority stress associated with their perceptions and performances of masculinity, as individuals and as couples.

  8. Influence and Social Distance Consequences across Categories of Race and Mental Illness

    This paper describes an experimental study (N = 184) that investigated influence and social distance consequences of a number of attributes in interpersonal interactions. The attributes included race, education, panic disorder, depression, and schizophrenia. Participants interacted with fictitious partners whom they believed were real and who represented the attributes studied. Participants had opportunities to be influenced by and seek distance from their interaction partners. Results showed that low educational attainment and schizophrenia significantly reduced the influence of partners.

  9. Depressive Symptoms Following Later-life Marital Dissolution and Subsequent Repartnering

    The doubling of the divorce rate among individuals over age 50 during the past 20 years underscores the urgency of studying the consequences of gray divorce and subsequent repartnering for adult well-being. We filled this gap by using the 1998-to-2014 Health and Retirement Study to evaluate how the levels of depressive symptoms changed following gray divorce versus widowhood. Individuals who divorced or became widowed already had experienced higher levels of depressive symptoms before dissolution relative to those who remained married.

  10. When (In)Consistency Matters: Racial Identification and Specification

    Sociologists who rely on survey research have begun exploring the implications of racial inconsistency for not only multiracial identification but also for other social outcomes. Using the National Longitudinal Study of Adolescent to Adult Health, the author explores the consequences of different specifications of race for modeling three outcomes: educational attainment, self-rated health, and interracial relationship history.