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Analyzing Disclosure-Based Online Abuse

Prof. Jeremy Clark, Prof. Sébastien Gambs, Prof. Kévin Huguenin and Eva Luvison

Prof. Jeremy Clark, Prof. Sébastien Gambs, Prof. Kévin Huguenin and Eva Luvison

The research examines disclosure-based online abuse: cases where personal information or personal data is misused, forwarded, or publicly exposed without consent. The research team's work focuses on how data such as screenshots, private messages, intimate images, or personal opinions can move from one person to another, sometimes escalating into cyberbullying, blackmail, or other forms of harm. The research looks closely at the lifecycle of this data, including how it is created, shared, forwarded, and eventually misused. 


Through surveys and interviews with people who had experienced this kind of abuse, the team found that each case was highly individual, making a one-size-fits-all solution unlikely. Participants described significant consequences, including psychological, social, and economic harms, and many emphasized the importance of understanding what happened and gathering evidence. The research also highlighted the central role of screenshots and the need for better tools to help people trace how their personal data was disseminated.


The work points to the importance of preventive and reactive solutions. Preventive measures could include anti-screenshot features, data-sharing controls, and stronger awareness around the risks of forwarding other people’s personal information. Reactive tools, such as watermarking or data provenance tracking, could help identify who was involved in spreading sensitive material and support accountability. Their research also suggests that platforms, schools, researchers, and public health professionals all have roles to play in reducing the risks and harms of disclosure-based online abuse.

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