Online Harassment and Women of Color

Hostile or aggressive communication on social media platforms.

Another term for online harassment.

Oversimplified, often negative, beliefs about racial groups.

Excessive or indiscriminate sexual activity.

Fear or hatred of foreigners or strangers.

Aggressive behavior through social media platforms.

Negative effect on the mental well-being of harassment victims.

Analyzing social media interactions.

Intentional, harmful electronic communication.

Recognizing patterns in harmful online language to detect cyberbullying.

General societal factors influencing the spread of harmful online messages.

Consistent topics in online harassment.

Words and phrases used in online harassment.

Online spaces where harassment can occur.

Studies on cyberbullying show inconsistent results regarding gender. Some studies find no gender differences, while others find males or females more involved, either as perpetrators or victims.

Studying intersectionality, which considers multiple identities, can be methodologically challenging. It can lead to misinterpreting results and having difficulty measuring multiple identities without an additive effect that may not accurately reflect inequalities.

An approach to measuring multiple identities that adds the effects of the identities being studied without capturing the complexities of inequalities based on race, class, gender, and sexuality.

Research on the relationship between race and online harassment produces inconsistent findings.

Research on hostility toward women of color often faces methodological challenges due to the intersectional experiences of women of color.

A theoretical framework that examines how various social categorizations (like race, class, gender, and sexuality) intersect and combine to create unique experiences of inequality.

Some research shows no difference in bullying based on gender, while others indicate males or females are more involved in perpetration and victimization of bullying.

Preconceived notions or judgments about Latinx individuals, often negative and inaccurate.

Abuse, mistreatment, or violence within a domestic relationship.

The current atmosphere or environment on political issues.

A derogatory or offensive word used to insult or denigrate a person based on their race or ethnicity.

Derogatory or offensive word used to insult a person based on their sex.

Forms of media that are widely consumed by the public, like television, social media, and movies.

A visual representation of relationships between words or concepts.

A simplified and often negative belief about a group of people.

The importance of a word in a network, measured by how many other words it connects to.

The overlapping and interconnected nature of race and gender, where experiences of one influence the other.

Words used to insult women, often targeting their physical appearance or sexual behavior.

Oversimplified and often negative beliefs about racial groups used to attack individuals online.

Recurring patterns in online harassment, such as targeting physical appearance, race, or gender.

Studying the content and patterns of online harassment to understand its nature and impact.

The use of online platforms, such as Twitter, for spreading and amplifying harassment.

Communication that promotes hostility and violence towards individuals or groups based on characteristics like race, religion, or gender.

When individuals report incidents of abuse or harassment they have experienced on online platforms.

Corporate policies, such as those implemented by Twitter in 2017, can significantly impact the prevalence of hateful online content by encouraging self-reporting of abuse and fostering a safer online environment.

Analyzing language patterns and communication styles on social media platforms allows researchers to identify aggression and bullying behaviors.

A method used to understand complex communication systems, especially in online spaces, by analyzing the interconnectedness of different elements like language, context, and participants.

General societal factors, like cultural norms, beliefs, and power structures, influence the spread and acceptance of harmful online messages.