Bachelorarbeit, 2021
28 Seiten, Note: 2:1
This dissertation aims to analyze the prevalence of hate crimes on social media platforms like Facebook and Twitter, examining the motivating factors and the harm inflicted upon victims. It will then explore relevant legislation and apply criminological theories to propose recommendations for preventing such crimes. The core focus is on contributing to the academic understanding of social media hate crimes and advocating for improved legal frameworks.
Chapter one: Hate Crime Online: This chapter defines hate crime and hate incidents, differentiating between the two. It explores the manifestation of hate speech and criminal activity on social media platforms, focusing on Facebook and Twitter due to their high usage and reported crime rates. The chapter analyzes the correlation between online hate incidents and the escalation to offline hate crimes, examining the role of "trigger events" in this process. Finally, it discusses the significant psychological and emotional impact hate crime has on victims.
Chapter two: Relevant Legislation: This chapter examines existing legal frameworks designed to address hate crime, both domestically and internationally. It critically analyzes the effectiveness of current laws in tackling online hate speech and criminal activity. The chapter highlights the challenges posed by the cross-border nature of online hate and the difficulties in enforcing legislation across different jurisdictions. The discussion includes a global perspective on strategies employed by various countries to combat online hate crimes.
Chapter three: Applying Theory for Recommendations: This chapter applies relevant criminological theories to analyze the causes and patterns of online hate crime. The Rational Actor Model and Social Learning Theory are used to explore the motivations behind hate crime perpetration. Situational Crime Prevention and Control Theory are then applied to identify strategies for preventing these crimes online. This chapter synthesizes these theoretical frameworks to provide evidence-based recommendations for law enforcement and social media platforms to prevent the commission of hate crimes online.
Hate crime, social media, online hate speech, cybercrime, legislation, law enforcement, victim impact, Rational Actor Model, Social Learning Theory, Situational Crime Prevention, Control Theory, Facebook, Twitter, prevention, recommendations.
The document provides a language preview of a dissertation analyzing hate crimes on social media, focusing on Facebook and Twitter. It explores the prevalence, motivating factors, impact on victims, relevant legislation, and application of criminological theories to propose recommendations for prevention.
The key themes include: the increasing prevalence of hate crimes on social media, the inadequacy of current legislation, the application of criminological theories, the impact of hate crimes on victims, and recommendations for improving legislation and law enforcement.
The dissertation aims to analyze the prevalence of hate crimes on social media platforms, examining the motivating factors and the harm inflicted upon victims. It will then explore relevant legislation and apply criminological theories to propose recommendations for preventing such crimes.
The document mentions that Chapter One defines hate crime and hate incidents, differentiating between the two. The specifics of that difference are not outlined in the preview, but it highlights that this distinction is important within the research.
The research focuses primarily on Facebook and Twitter due to their high usage and reported crime rates related to hate speech and criminal activity.
The dissertation applies the Rational Actor Model, Social Learning Theory, Situational Crime Prevention, and Control Theory to understand and prevent online hate crimes.
Relevant keywords include: Hate crime, social media, online hate speech, cybercrime, legislation, law enforcement, victim impact, Rational Actor Model, Social Learning Theory, Situational Crime Prevention, Control Theory, Facebook, Twitter, prevention, recommendations.
The first chapter aims to define hate crime and incidents, identify hate activity on social media, find a link between hate incidents on social media and actual hate crime, and investigate the relationship between trigger events and hate crime.
The second chapter examines frameworks that tackle hate crime and global approaches to online hate crimes.
The third chapter will apply Rational Actor Model, Social Learning Theory, Situational Crime Prevention and Control Theory and will provide recommendations for law enforcement and social media platforms to prevent the commission of hate crimes online.
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