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  1. Review Essay: What Should Historical Sociologists Do All Day? Starving the Beast, the Reagan Tax Cuts, and Modes of Historical Explanation

    Monica Prasad, along with collaborators like Isaac Martin and Ajay Mehrotra (e.g., Martin, Mehrotra, and Prasad 2009), has made fiscal sociology—the sociology of taxation—a thriving part of the discipline. Her first book showed how different national patterns of taxation help explain the variable strength of neoliberalism across nations (Prasad 2006). Her second identified progressive taxation as key to producing both democratized credit and a weak welfare state in the United States (Prasad 2012).
  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. Creating Urban Sociality in Middle‐Class Neighborhoods in Milan and Bologna: A Study on the Social Streets Phenomenon

    Social Streets are groups of neighbors who want to recreate convivial ties having noticed a weakening of social relationships in their roads of residence. Social Streets start as online Facebook groups to materialize in offline encounters, using conviviality to create virtuous bonds. These are carried out through practices of sociality, inclusive and for free. The main focus of this article is analyzing sociodemographic data of the “Streeters” and of the neighborhoods to understand where they produce conviviality in urban neighborhoods.

  4. 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).
  5. 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.
  6. Economic Populism and Bandwagon Bigotry: Obama-to-Trump Voters and the Cross Pressures of the 2016 Election

    Through an analysis of validated voters in the 2016 American National Election Study, this article considers the voters who supported Obama in 2012 and Trump in 2016. More than 5.7 million in total, Obama-to-Trump voters were crucial to Trump’s victory in the Electoral College. They were more likely to be white, working class, and resident in the Midwest. They had lower levels of political interest, were centrist in both party affiliation and ideology, and were late deciders for the 2016 election.
  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. Stability and Change in Americans’ Perception of Freedom

    Any American will tell you, this nation’s highest ideal is freedom. Survey data teases out how race, income, and political affiliation inflect individuals’ sense of lilberty.
  9. Beyond Tracking and Detracking: The Dimensions of Organizational Differentiation in Schools

    Schools use an array of strategies to match curricula and instruction to students’ heterogeneous skills. Although generations of scholars have debated ‘‘tracking’’ and its consequences, the literature fails to account for diversity of school-level sorting practices.

  10. Data Collection as Disruption: Insights from a Longitudinal Study of Young Adulthood

    Research disrupts the social world, often by making respondents aware that they are being observed or by instigating reflection upon particular aspects of life via the very act of asking questions. Building on insights from the first Hawthorne studies, reflexive ethnographers, and methodologists concerned with panel conditioning, we draw on six years of research within a community in southern Malawi to introduce a conceptual framework for theorizing disruption in observational research.