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In this article, I examine how race impacts online interactions on one of the most popular online gay personal websites in the United States. Based on 15 in-depth interviews and an analysis of 100 profiles, I show that the filtering system on this website allows users to cleanse particular racial bodies from their viewing practices.
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With a large portion of the population online and the high cost of phone-based surveys, querying people about their voter preference online can offer an affordable and timely alternative. However, given that there are biases in who adopts various sites and services that are often used as sampling frames (e.g., various social media), online political polls may not represent the views of the overall population. How are such polls biased? Who is most likely to participate in them?
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This article demonstrates a method for teaching students to conduct audit studies of discrimination. The assignment can be used in courses on quantitative methods, race, gender, or other topics. Audit studies test for unequal treatment by having otherwise identical pairs of people who vary on a single trait, such as race or gender, apply for the same sets of opportunities, such as apartment vacancies or job openings. Once intricate and expensive to conduct, the online shift of the past 15 years has streamlined the approach, enabling researchers to execute audits via email.
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This study uses a quasi-experimental design to assess differences in student performance and satisfaction across online and face-to-face (F2F) classroom settings. Data were collected from 368 students enrolled in three online and three F2F sections of an introductory-level sociology course. The instructor, course materials, and assessments were consistent between the two delivery formats. The investigators compare student satisfaction and student performance on midterm exams and an integrating data analysis assignment.
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I provide a visual representation of keyword trends and authorship for two flagship sociology journals using data from JSTOR’s Data for Research repository. While text data have accompanied the digital spread of information, it remains inaccessible to researchers unfamiliar with the required preprocessing. The visualization and accompanying code encourage widespread use of this source of data in the social sciences.
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Why does every generation believe that relationships were stronger and community better in the recent past? Lamenting about the loss of community, based on a selective perception of the present and an idealization of ‘‘traditional community,’’ dims awareness of powerful inequalities and cleavages that
have always pervaded human society and favors deterministic models over a nuanced understanding of how network affordances contribute to different outcomes. Taylor Dotson’s (2017) recent book proposes a broader timeline for the demise of community.
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This visualization provides a dynamic representation of the microsteps involved in modeling network and behavior change with a stochastic actor-based model. This video illustrates how (1) observed time is broken up into a series of simulated microsteps and (2) these microsteps serve as the opportunity for actors to change their network ties or behavior. The example model comes from a widely used tutorial, and we provide code to allow for adapting the visualization to one’s own model.
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Recent research has called on scholars to develop pedagogical interventions to address issues of media literacy. This teaching note answers that call by describing a media literacy project designed for use in social problems classes. The project acquaints students to the constructionist approach to social problems and the method of content analysis. Guided by the principles of scaffolding, the note discusses how students are guided through a series of readings, assignments, and activities that enables them to analyze how social problems are portrayed in news media.
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Consumers’ expectations about the future of their own finances and the macroeconomy are used to forecast consumption, but forecasts do not typically account for differences by race and ethnicity. In this report, the author asks (1) whether there is consistent racial and ethnic variation in consumers’ economic expectations, (2) if differences can be explained by economic experiences, and (3) how the scope of expectations matters.
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Recent sociological work shows that culture is an important causal variable in labor market outcomes. Does the same hold for product markets? To answer this question, we study a product market in which selection decisions occur absent face-to-face interaction between intermediaries and short-term contract workers. We find evidence of “product-based” cultural matching operating as a pathway to inequality.
