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Videos of police abuse are often spread through technology, raising questions around how perceptions of police are impacted by these images, especially for 18–24-year-olds…
Videos of police abuse are often spread through technology, raising questions around how perceptions of police are impacted by these images, especially for 18–24-year-olds who are constantly “logged on.” Limited research investigates the impact of social media on attitudes toward police accounting for age and race. The present study utilizes 19 in-depth interviews with a diverse sample of urban college students who regularly use social media in order to understand how they have been impacted by this content. The findings suggest the necessity of using an intersectional framework to understand the impact of tech-witnessed violence. While no gender differences were uncovered, racial differences did surface. White participants described being minimally influenced by videos of police misconduct, rationalizing it as a “few bad apples.” In contrast, participants of color, except those with family members in law enforcement, described being negatively impacted. Viral content contributed to negative opinions of police, emotional distress, and fears of victimization. Ultimately, videos of police brutality do not impact young populations equally. Instead, they are comparatively more harmful to young people of color who spend more time on social media, can envision themselves as the victims, and experience feelings of fear, despair, and anger after watching these videos.
While digital technologies have led to many important social and cultural advances worldwide, they also facilitate the perpetration of violence, abuse and harassment…
While digital technologies have led to many important social and cultural advances worldwide, they also facilitate the perpetration of violence, abuse and harassment, known as Technology-Facilitated violence and abuse (TFVA). TFVA includes a spectrum of behaviors perpetrated online, offline, and through a range of technologies, including artificial intelligence, livestreaming, GPS tracking, and social media. This chapter provides an overview of TFVA, including a brief snapshot of existing quantitative and qualitative research relating to various forms of TFVA. It then discusses the aims and contributions of this book as a whole, before outlining five overarching themes arising from the contributions. The chapter concludes by mapping out the structure of the book.