Suchergebnisse

Cover Page -- Title Page -- Copyright Page -- Contents -- Introduction -- 1: An Overview of Sexual Harassment -- 2: Why Men Can't-and Shouldn't-Stop Staring at Women -- 3: Sexual Harassment Is About Power, Not Desire -- 4: Sexual Harassment in School Is a Serious Problem -- 5: PC Police Target Middle and High School Students -- 6: Online Sexual Harassment Is a Serious Problem -- 7: Mobile Online Technology Is Helping to Combat Sexual Harassment -- 8: Public Sexual Harassment ("Street Harassment") Is a Serious Problem That Requires Legal Regulation -- 9: Women Need to Confront Sexual Harassers -- 10: Men Need to Take an Active Role in Ending Sexual Harassment -- 11: Abuse of Power: An Increase in Male-on-Male Sexual Harassment Shows Larger Truths About Abuse in the Workplace -- 12: Women Dressing Provocatively Does Not Contribute to Sexual Harassment -- 13: A Woman Describes the Negative Effects of the Sexual Harassment She Experienced in Her Youth -- Appendix -- What You Should Know About Sexual Harassment -- What You Should Do About Sexual Harassment -- Organizations to Contact -- Bibliography -- Index -- Picture Credits -- Back Cover

Cover -- Title Page -- Copyright -- Contents -- Introduction -- Series Foreword -- Acknowledgments -- Guide to Health Literacy -- Common Misconceptions about Sexual Harassment -- Questions and Answers -- Identifying Sexual Harassment -- 1. What is sexual harassment? -- 2. What is the difference between sexual harassment, sexual assault, and sexual misconduct? -- 3. Where can sexual harassment occur? -- 4. What are the warning signs that someone you know has been affected by sexual harassment? -- 5. How prevalent is sexual harassment in the United States? -- 6. How is sexual harassment viewed in countries around the globe? -- 7. What are the laws against sexual harassment in the United States? -- 8. What does consent mean? -- 9. When were the first sexual harassment cases documented? -- 10. What are common characteristics of a harasser? -- 11. What are workplace romances? -- Causes and Risk Factors -- 12. Why does sexual harassment occur? -- 13. Do both males and females experience sexual harassment? -- 14. Are certain groups of people more likely to experience sexual harassment than others? -- 15. What do gender identity and sexual orientation have to do with sexual harassment? -- 16. What does age have to do with sexual harassment? -- 17. What do race or ethnicity have to do with sexual harassment? -- 18. Does being a victim of childhood abuse increase one's likelihood of experiencing sexual harassment as an adult? -- 19. What is victim blaming? -- 20. What is sex addiction? Is there a relationship between sex addiction and sexual harassment? -- Consequences and Effects -- 21. What are the physical effects associated with sexual harassment? -- 22. What are the psychological/emotional effects associated with sexual harassment? What role does sexual harassment play in the development of eating disorders or other mental health disorders?.

Intro -- Contents -- Contributors -- 1 Online Harassment: A Research Challenge for HCI -- Detection -- 2 Weak Supervision and Machine Learning for Online Harassment Detection -- 2.1 Introduction -- 2.2 Related Work -- 2.2.1 Machine Learning for Detection of Online Harassment and Related Phenomena -- 2.2.2 Weakly Supervised Machine Learning -- 2.3 Participant-Vocabulary Consistency -- 2.3.1 Model Details -- 2.3.2 Learning the Parameters -- 2.4 Experiments -- 2.4.1 Data Processing -- 2.4.2 Baselines -- 2.4.3 Human Annotation Comparisons -- 2.4.4 Qualitative Analysis -- 2.5 Discussion, Extensions, and Open Problems -- 2.5.1 Deep Learning -- 2.5.2 Fairness -- 2.5.3 Weak Supervision Interface -- 2.5.4 Automated Interventions -- References -- 3 Bridging the Gaps: Multi Task Learning for Domain Transfer of Hate Speech Detection -- 3.1 Introduction -- 3.1.1 Hate Speech Detection -- 3.1.2 Multi-task Learning -- 3.1.3 Utility of Multi-task Learning for Hate Speech Detection -- 3.2 Data -- 3.2.1 Understandings of ``Hate Speech'' -- 3.2.2 Commonalities and Differences -- 3.3 Model -- 3.3.1 Baseline Model Definition -- 3.3.2 Multi-task Model Definition -- 3.3.3 Training -- 3.3.4 Features -- 3.3.5 Pre-processing -- 3.4 Experiments -- 3.4.1 Baseline Models -- 3.4.2 Composite Data Models -- 3.4.3 Multi-task Learning Models -- 3.4.4 Dataset Statistics -- 3.4.5 Evaluation Metrics -- 3.5 Experimental Results -- 3.5.1 Single-Task Baseline Models -- 3.5.2 Composite Dataset Models -- 3.5.3 Multi-task Learning Models -- 3.5.4 Critiques of Datasets -- 3.6 Related Work -- 3.6.1 Abusive Language -- 3.6.2 Multi-task Learning -- 3.7 Conclusion -- 3.8 Future Work -- References -- 4 A Network Analysis of the GamerGate Movement -- 4.1 The Network -- 4.2 #OpSkynet -- 4.3 #NotYourShield -- 4.4 #SJWs -- 4.5 #GamerGate -- 4.6 Signal Boosters (Edge Class 0).

Online Harassment is one of the most serious problems in social media. To address it requires understanding the forms harassment takes, how it impacts the targets, who harasses, and how technology that stands between users and social media can stop harassers and protect users. The field of Human-Computer Interaction provides a unique set of tools to address this challenge. This book brings together experts in theory, socio-technical systems, network analysis, text analysis, and machine learning to present a broad set of analyses and applications that improve our understanding of the harassment problem and how to address it. This book tackles the problem of harassment by addressing it in three major domains. First, chapters explore how harassment manifests, including extensive analysis of the Gamer Gate incident, stylistic features of different types of harassment, how gender differences affect misogynistic harassment. Then, we look at the results of harassment, including how it drives people offline and the impacts it has on targets. Finally, we address techniques for mitigating harassment, both through automated detection and filtering and interface options that users control. Together, many branches of HCI come together to provide a comprehensive look at the phenomenon of online harassment and to advance the field toward effective human-oriented solutions.