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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. Keep Your Enemies Close? Study Finds Greater Proximity to Opponents Leads to More Polarization

    Encouraging adversaries to have more interpersonal contact to find common ground may work on occasion, but not necessarily in the U.S. Senate, according to new research.

  4. 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.

  5. Brokers and the Earnings of Female Sex Workers in India

    This study examines whether working with a broker increases or reduces the payment received for the last client among female sex workers. Building on research on the informal economy and sex work, we formulate a positive embeddedness hypothesis, expecting a positive association, and an exploitation hypothesis, expecting a negative association. We analyze a large survey combined with intensive interview data on female sex workers in Andhra Pradesh, India. These data uniquely distinguish between the amount the sex worker actually received and the amount the client paid.

  6. 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.

  7. 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.

  8. 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.

  9. A Design and a Model for Investigating the Heterogeneity of Context Effects in Public Opinion Surveys

    Context effects on survey response, caused by the unobserved interaction between beliefs stored in personal memory and triggers generated by the structure of the survey instrument, are a pervasive challenge to survey research. The authors argue that randomized survey experiments on representative samples, when paired with facilitative primes, can enable researchers to model selection into variable context effects, revealing heterogeneity at the population level.

  10. An Introduction to the General Monotone Model with Application to Two Problematic Data Sets

    We argue that the mismatch between data and analytical methods, along with common practices for dealing with "messy" data, can lead to inaccurate conclusions. Specifically, using previously published data on racial bias and culture of honor, we show that manifest effects, and therefore theoretical conclusions, are highly dependent on how researchers decide to handle extreme scores and nonlinearities when data are analyzed with traditional approaches.