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1 – 10 of 78Diane Felmlee, Paulina Inara Rodis and Sara Chari Francisco
Online aggression represents a serious, and regularly occurring, social problem. In this piece the authors consider derogatory, harmful messages on the social media platform…
Abstract
Online aggression represents a serious, and regularly occurring, social problem. In this piece the authors consider derogatory, harmful messages on the social media platform, Twitter, that target one of three groups of women, Asians, Blacks, and Latinx. The research focuses on messages that include one of the most common female slurs, “b!tch.” The findings of this chapter reveal that aggressive messages oriented toward women of color can be vicious and easily accessible (located in fewer than 30 seconds). Using an intersectional approach, the authors note the distinctive experiences of online harassment for women of color. The findings highlight the manner in which detrimental stereotypes are reinforced, including that of the “eroticized and obedient Asian woman,” the “angry Black woman,” and the “poor Latinx woman.” In some exceptions, women use the term “b!tch” in a positive and empowering manner, likely in an attempt to “reclaim” one of the common words used to attack females. Applying a social network perspective, we illustrate the tendency of typically hostile tweets to develop into interactive network conversations, where the original message spreads beyond the victim, and in the case of public individuals, quite widely. This research contributes to a deeper understanding of the processes that lead to online harassment, including the fortification of typical norms and social dominance. Finally, the authors find that messages that use the word “b!tch” to insult Asian, Black, and Latinx women are particularly damaging in that they reinforce traditional stereotypes of women and ethno-racial minorities, and these messages possess the ability to extend to wider audiences.
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Matthew E. Archibald, Rachel N. Head, Jordan Yakoby and Pamela Behrman
This study examines chronic illness, disability and social inequality within an exposure-vulnerabilities theoretical framework.
Abstract
Purpose
This study examines chronic illness, disability and social inequality within an exposure-vulnerabilities theoretical framework.
Methodology/Approach
Using the National Survey of Drug Use and Health (NSDUH), a preeminent source of national behavioral health estimates of chronic medical illness, stress and disability, for selected sample years 2005–2014, we construct and analyze two foundational hypotheses underlying the exposure-vulnerabilities model: (1) greater exposure to stressors (i.e., chronic medical illness) among racial/ethnic minority populations yields higher levels of serious psychological distress, which in turn increases the likelihood of medical disability; (2) greater vulnerability among minority populations to stressors such as chronic medical illness exacerbates the impact of these conditions on mental health as well as the impact of mental health on medical disability.
Findings
Results of our analyses provided mixed support for the vulnerability (moderator) hypothesis, but not for the exposure (mediation) hypothesis. In the exposure models, while Blacks were more likely than Whites to have a long-term disability, the pathway to disability through chronic illness and serious psychological distress did not emerge. Rather, Whites were more likely than Blacks and Latinx to have a chronic illness and to have experienced severe psychological distress (both of which themselves were related to disability). In the vulnerability models, both Blacks and Latinx with chronic medical illness were more likely than Whites to experience serious psychological distress, although Whites with serious psychological distress were more likely than these groups to have a long-term disability.
Research Limitations
Several possibilities for understanding the failure to uncover an exposure dynamic in the model turn on the potential intersectional effects of age and gender, as well as several other covariates that seem to confound the linkages in the model (e.g., issues of stigma, social support, education).
Originality/Value
This study (1) extends the racial/ethnic disparities in exposure-vulnerability framework by including factors measuring chronic medical illness and disability which: (2) explicitly test exposure and vulnerability hypotheses in minority populations; (3) develop and test the causal linkages in the hypothesized processes, based on innovations in general structural equation models, and lastly; (4) use national population estimates of these conditions which are rarely, if ever, investigated in this kind of causal framework.
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Purpose – Intersections are hazardous locations and to improve their safety we need to understand the factors contributing to crashes at these locations and provide evidence-based…
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Purpose – Intersections are hazardous locations and to improve their safety we need to understand the factors contributing to crashes at these locations and provide evidence-based recommendations to reduce them. This chapter provides a summary of the findings on infrastructure-related factors contributing to crashes at urban and rural intersections and some discussions on the implications and potential countermeasures.
Approach – A review of the literature on intersection crashes was performed to identify the infrastructure-related crash-contributing factors. Some discussions on the implications and potential countermeasures are then provided.
Findings – The factors contributing to road crashes are diverse and complex. While the safety effects of a few factors (e.g., exposure and speed) are relatively consistent, many factors have different impacts on crash frequency and severity (e.g., types of intersection) and different impacts on urban and rural intersections (e.g., bus stops).
Research Implications – More studies are needed on developing a stronger theoretical or conceptual foundation on the effects of roadway designs and traffic controls on different dimensions of safety (e.g., exposure, frequency, severity, etc.), types of crashes (e.g., head-on, rear-end, etc.) or road users involved (e.g., drivers, pedestrians, cyclists, etc.).
Practical Implications – Transport engineers need to be aware that some treatments may have different effects on different crash types and road users involved. Even though the overall safety may be improved by the treatments designed, they need to consider and mitigate any unintended consequences to satisfy the Pareto improvement principle and the social equity criterion.
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This chapter presents an evaluation of the literature on the effect of the pandemic on mental health. It draws mainly on the existing economics literature and presents the state…
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This chapter presents an evaluation of the literature on the effect of the pandemic on mental health. It draws mainly on the existing economics literature and presents the state of the art of the COVID-19 effect on mental health. While paying particular attention to how the deterioration of mental health evolved over time and across countries, this chapter also considers variation of mental health across individual demographic characteristics as well as different circumstances through which mental health has been affected. Moreover, it provides a general assessment of the methodological aspects of various studies, by discussing the sample and data used, measures of mental health as well as causality issues. Overall, researchers for various countries around the world adopting different measures of mental health, often non-comparable samples and different methodologies document consistently that the level of mental health has been deteriorated during the pandemic, with the negative effect of the lockdown on mental health being evident in the early stage of the pandemic and on the whole population. Findings point out to a high degree of heterogeneity within demographic groups.
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