American Sociological Association



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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. 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.
  3. What’s Alter Got to Do with It? A Consideration of Network Content and the Social Ties That Provide It

    The strength of weak ties is among the most important theories in the social sciences. One paradoxical element of the theory has been widely understood and valued—that weak ties connect disparate regions of social structure. Less appreciated, however, is the arguably more paradoxical implication that someone only weakly connected to another would provide value beyond that which is provided by the recipient’s (ego’s) strong ties. Once this paradoxical feature of the theory and associated empirical literatures is acknowledged, the interests of the resource provider (alter) demand consideration.
  4. Network Effects in Blau Space: Imputing Social Context from Survey Data

    We develop a method of imputing ego network characteristics for respondents in probability samples of individuals. This imputed network uses the homophily principle to estimate certain properties of a respondent’s core discussion network in the absence of actual network data. These properties measure the potential exposure of respondents to the attitudes, values, beliefs, and so on of their (likely) network alters.

  5. 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.
  6. Who Is Called by the Dog Whistle? Experimental Evidence That Racial Resentment and Political Ideology Condition Responses to Racially Encoded Messages

    Do appeals that subtly invoke negative racial stereotypes shift whites’ political attitudes by harnessing their racial prejudice? Though widely cited in academic and popular discourse, prior work finds conflicting evidence for this “dogwhistle hypothesis.” Here we test the hypothesis in two experiments (total N = 1,797) in which white Americans’ racial attitudes were measured two weeks before they read political messages in which references to racial stereotypes were implicit, explicit, or not present at all.

  7. 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).
  8. 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.

  9. When Interest Doesn’t Turn into Action: Discrimination, Group Identification, and Muslim Political Engagement in the Post-9/11 Era

    This article examines the effect of exposure to post-9/11 stigmatization on various types of Muslim political engagement, using a mixed-methods approach that combines propensity score matching analysis of data from the Muslims in the American Public Square (MAPS) survey administered immediately after 9/11 with experimental data of the U.S. Muslim population. I find that increased discrimination results in increased political interest but has a neutral or dampening effect on political participation.
  10. Uncertainty and Social Influence

    Much research documents that uncertainty is an important factor in the social influence process. We argue that there are two senses in which uncertainty plays a role. First, task uncertainty is a necessary but variable condition for social influence to occur. Second, uncertainty reduction is a mechanism producing social influence. We discuss how tasks can vary in the level of uncertainty they entail and how this impacts the mechanisms resulting in social influence. In this context, we predict that task uncertainty moderates social influence and that uncertainty reduction mediates it.