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Transgender people have received substantial attention in recent years, with gender identity being a focal point of online debate. Transgender identities are central to discussions relating to sex-segregated spaces and activities, such as public toilets, prisons, and sports participation. The introduction of “gender-neutral” spaces has received criticism because some argue that there is an increased risk of sexual violence against women and children. However, little is known about the implications that these constructions have for whom is able to claim a “victim status.” In this chapter, I provide a critical analysis of the techniques used by individuals to align themselves with a “victim status.” These claims are presented and contextualized within varying notions of victimization, from being victims of political correctness to victims of a more aggressive minority community. This feeds into an inherently transphobic discourse that is difficult to challenge without facing accusations of perpetuating an individual's “victimhood.” Transphobic rhetoric is most commonly expressed through constructing transgender people as “unnatural,” “sinful,” or as experiencing a “mental health issue.” This chapter argues that the denial of transphobia and simultaneous claims of victimization made by the dominant, cisgender majority are intrinsically linked.

Despite increasingly persuasive women-focused marketing of gambling products, there has only been limited investigation around women sports betting. Men remain the focus of much of the conversation about sports betting as they have generally been found to be the most active sports bettors and the most at risk of experiencing harms associated with their behaviour. This chapter aims to fill this gap by exploring the characteristics of young women sports bettors in the United Kingdom and the relationship between sports betting and the experience of gambling harms. To do this, we created two models of analysis. Our analysis is based on data from the first wave (2019) of the Emerging Adults Gambling Survey (EAGS) dataset (n = 3,549). The EAGS is a non-probability longitudinal survey that includes individuals between the ages of 16 and 24 who were residents in Britain at the time of data collection. Firstly, we examined the associations between women sports bettors and several factors identified as important predictors of sports betting. Secondly, we sought to understand the relationship between women's sports betting and the harms associated with this activity. From these models, we found that women's sports betting was most reliably predicted according to fandom and peer influence. We also found that women sports bettors were more at risk of experiencing harms associated with difficulties with family and friends than women gamblers using other products.

Much of the research on intimate partner violence focuses on adults, and little of it emanates from the Global-South. The study reported upon in this chapter is aimed at addressing these gaps. Adopting a Southern Feminist Framework, it discusses findings from interviews with Brasilian and Australian advocates working on prevention of youth IPV. Participants from both countries noted disturbing instances of digital coercive control among the youth with whom they work, as well as underlying factors such as gender-based discrimination that simultaneously contribute to the prevalence of such behaviors, as well as their normalization among young people. However, they also emphasized the positive role that technology can play in distributing educational programming that reaches young people where they are and circumvents conservative agendas that in some cases keep education about gender discrimination and healthy relationships out of schools.

Technology-facilitated abuse, so-called “tech abuse,” through phones, trackers, and other emerging innovations, has a substantial impact on the nature of intimate partner violence (IPV). The current chapter examines the risks and harms posed to IPV victims/survivors from the burgeoning Internet of Things (IoT) environment. IoT systems are understood as “smart” devices such as conventional household appliances that are connected to the internet. Interdependencies between different products together with the devices' enhanced functionalities offer opportunities for coercion and control. Across the chapter, we use the example of IoT to showcase how and why tech abuse is a socio-technological issue and requires not only human-centered (i.e., societal) but also cybersecurity (i.e., technical) responses. We apply the method of “threat modeling,” which is a process used to investigate potential cybersecurity attacks, to shift the conventional technical focus from the risks to systems toward risks to people. Through the analysis of a smart lock, we highlight insufficiently designed IoT privacy and security features and uncover how seemingly neutral design decisions can constrain, shape, and facilitate coercive and controlling behaviors.