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  1. Study Uses 311 Complaints to Track Where and When Neighborhood Conflict Emerges

    Each year, 311 — New York City's main hub for government information and non-emergency services — receives millions of requests and complaints, including New Yorkers' gripes about their neighbors.

  2. Actresses Must Be Picky About With Whom They Work to Survive in Movie Industry

    Actresses need to be pickier than men about with whom they work if they want to survive in the movie industry, suggests a new study.

    "My research indicates that women in the film industry suffer a lack of access to future career opportunities when they tend to work with people who have collaborated frequently in the past," said Mark Lutter, lead author of the study and head of the "Transnational Diffusion of Innovation" Research Group at the Max Planck Institute for the Study of Societies (MPIfG) in Germany.

  3. Shift to Gay, Lesbian, Bisexual Identities in Early Adulthood Tied to Depressive Symptoms

    People whose sexual identities changed toward same-sex attraction in early adulthood reported more symptoms of depression in a nationwide survey than those whose sexual orientations did not change or changed in the opposite direction, according to a new study by a University of Illinois at Chicago (UIC) sociologist.

  4. Lightness/Darkness of Skin Affects Male Immigrants' Likelihood of Gaining Employment

    Skin color is a significant factor in the probability of employment for male immigrants to the United States, according to a new study by two University of Kansas (KU) researchers.

  5. The Role of Gender, Class, and Religion in Biracial Americans Racial Labeling Decisions

    Racial attachments are understood to be socially constructed and endogenous to gender, socioeconomic, and religious identities. Yet we know surprisingly little about the effect of such identities on the particular racial labels that individuals self-select. In this article, I investigate how social identities shape the racial labels chosen by biracial individuals in the United States, a rapidly growing population who have multiple labeling options.

  6. Discrimination in Lending Markets: Status and the Intersections of Gender and Race

    Research documents that lenders discriminate between loan applicants in traditional and peer-to-peer lending markets, yet we lack knowledge about the mechanisms driving lenders’ behavior. I offer one possible mechanism: When lenders assess borrowers, they are implicitly guided by cultural stereotypes about the borrowers’ status. This systematically steers lenders toward funding higher status groups even when applicants have the same financial histories.

  7. Exceptional Outgroup Stereotypes and White Racial Inequality Attitudes toward Asian Americans

    Stereotypes of outgroups help create social identificational boundaries for ingroups. When the ingroup is dominant, members employ individualist sentiments to justify their status. In this study, we build on advances in social psychological research that account for multiple outgroup stereotypes. We argue the Asian American model minority stereotype is analogous to the "cold but competent" position of perceptions toward Asians in Fiske’s stereotype content model.

  8. The Contingent Value of Embeddedness: Self-affirming Social Environments, Network Density, and Well-being

    Social capital theorists claim that belonging to a densely knit social network creates a shared identity, mutually beneficial exchange, trust, and a sense of belonging in that group. Taken together with the empirical research on the importance of social support and social integration for individuals’ well-being, there is reason to expect that the density of one’s personal social network should be positively related to well-being.

  9. A "Global Interdependence" Approach to Multidimensional Sequence Analysis

    Although sequence analysis has now become a widespread approach in the social sciences, several strategies have been developed to handle the specific issue of multidimensional sequences. These strategies have distinct characteristics related to the way they explicitly emphasize multidimensionality, interdependence, and parsimony.

  10. A Progressive Supervised-learning Approach to Generating Rich Civil Strife Data

    "Big data" in the form of unstructured text pose challenges and opportunities to social scientists committed to advancing research frontiers. Because machine-based and human-centric approaches to content analysis have different strengths for extracting information from unstructured text, the authors argue for a collaborative, hybrid approach that combines their comparative advantages.