American Sociological Association

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  1. 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.
  2. Transparency and Embodied Action: Turn Organization and Fairness in Complex Institutional Environments

    Institutional settings in which large numbers of participants have the right and in some cases the responsibility to contribute to the proceedings pose particular challenges to the order and allocation of turns. These challenges are organizational, how to enable and order participation between large numbers of people, as well as moral and political—the fair, transparent, and even distribution of access to the floor.
  3. 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.

  4. Social Space Diffusion: Applications of a Latent Space Model to Diffusion with Uncertain Ties

    Social networks represent two different facets of social life: (1) stable paths for diffusion, or the spread of something through a connected population, and (2) random draws from an underlying social space, which indicate the relative positions of the people in the network to one another. The dual nature of networks creates a challenge: if the observed network ties are a single random draw, is it realistic to expect that diffusion only follows the observed network ties? This study takes a first step toward integrating these two perspectives by introducing a social space diffusion model.
  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. Numbers, Narratives, and Nation: Mainstream News Coverage of U.S. Latino Population Growth, 1990–2010

    Ideologies that support racial domination and White supremacy remain foundational in U.S. society, even as the nation becomes increasingly diverse and progressively focused on quantitative measurement. This study explores how a prominent mainstream news outlet represents the growth of the nation’s second largest population, Latinos, within this changing demographic and numeric environment.
  7. Traveling across Racial Borders: TripAdvisor and the Discursive Strategies Businesses Use to Deny Racism

    Travel and leisure activities can bring many rewards, and yet for those deemed “racialized Others,” these same activities can be fraught with anxiety and tension. As in all aspects of society, racism mediates the rewards of travel and leisure. Decisions about when and how to confront racism are central in the lives of those considered racialized Others. Given a wish to de-escalate racist situations and respond later, some individuals are using online platforms to call out racism.
  8. Urban Regimes in Small Russian Towns

    This article presents the outcomes of a research project conducted in five small Russian towns. Different coalitions between local actors take place in all communities. However, coalitions that meet the criteria of the urban regime (in Stone's classical interpretation) have been discovered, with certain reservations, only in two towns.

  9. 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.

  10. 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).