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.
