Spatio-temporal crime hotspots and the ambient population

It is well known that, due to that inherent differences in their underlying causal mechanisms, different types of crime will have variable impacts on different groups of people. Furthermore, the locations of vulnerable groups of people are highly temporally dynamic. Hence an accurate estimate of the true population at risk in a given place and time is vital for reliable crime rate calculation and hotspot generation. However, the choice of denominator is fraught with difficulty because data describing popular movements, rather than simply residential location, are limited. This research will make use of new ‘crowd-sourced’ data in an attempt to create more accurate estimates of the population at risk for mobile crimes such as street robbery. Importantly, these data are both spatially and temporally referenced and can therefore be used to estimate crime rate significance in both space and time. Spatio-temporal cluster hunting techniques will be used to identify crime hotspots that are significant given the size of the ambient population in the area at the time

Living through Lockdown: Social Inequalities and Transformations during the COVID-19 Crisis in France

This working paper offers an overview of the first stage of the Coping with Covid (CoCo) project, which tracks the behaviors and attitudes of a representative panel of the French metropolitan population during the COVID-19 lockdown. We conducted five survey waves and administered daily journals of open-ended responses between April and June 2020 among a sample of 1,216 people from a pre-existing panel (ELIPSS). Earlier surveys of this sample allowed us to better contextualize changes that may have occurred during this unusual period. We outline four experiential dimensions during the lockdown period: relation to work, everyday activities and time use, self-assessed health and well-being, and the framing of the pandemic crisis. What we found follows traditional inequality patterns and also reveals some unexpected changes in social practices and attitudes

THE TREND OF CLASS, RACE, AND ETHNICITY IN SOCIAL MEDIA INEQUALITY

International audienceBlogs were the original poster child of digital democracy as an egalitarian public forum. Some scholars have challenged this theory of equality based on race and ethnicity, but no empirical analysis of American adults has questioned a class-based divide over time. Blogs, as a form of digital content production, appear to mirror other technological innovations in which a small elite group of users begin to incorporate them in their daily living after which the innovation spreads quickly to the general population, as with basic Internet access. However, the author argues that unlike this consumptive practice, blogging fits into a productive framework that requires more resources. Furthermore, most studies on blogging and inequality, in general, derive from samples of college students, which make it difficult to understand class issues. By drawing on 13 national surveys of American adults from 2002 to 2008, this study incorporates class differences and finds that an educational gap in blogging persists, rather than narrows, even among people who are online. Race and ethnicity do not have a relationship with class in accounting for the inequality

La France confinée: Anciennes et nouvelles inégalités

This chapter offers an overview of the first stage of the Coping with Covid (CoCo) project, which tracks the behaviors and attitudes of a representative panel of the French metropolitan population during the COVID-19 lockdown. We conducted five survey waves and administered daily journals of open-ended responses between April and June 2020 among a sample of 1,216 people from a pre-existing panel (ELIPSS). Earlier surveys of this sample allowed us to better contextualize changes that may have occurred during this unusual period. We outline four experiential dimensions during the lockdown period: relation to work, everyday activities and time use, self-assessed health and well-being, and the framing of the pandemic crisis. What we found follows traditional inequality patterns and also reveals some unexpected changes in social practices and attitudes

The Online Participation Divide

Women, members of underrepresented racial and ethnic groups, and those of lower socioeconomic status tend to contribute to online conversations at lower levels. Such unequal participation then results in the underrepresentation of certain perspectives on the many user-generated content platforms that hundreds of millions of people peruse on a daily basis. Also, as more and more studies rely on automatically generated log data, or so-called “big data,” from such sites to study social behavior, the perspectives of people not participating on sites are also less likely to show up in an increasing number of scientific studies that may then form the basis of policy interventions