Big data and its role in identifying patterns of abuse
In one project, we needed to assess the threats faced by activists in various regions. We found an article on https://freedomforallamericans.org/tech-solutions-human-rights-campaigns/ that described tools for the secure collection and analysis of big data. We decided to try them out to process open data from satellite images and news sources: the bot automatically detected anomalies and flagged potential violations. The result exceeded our expectations: we received more accurate reports without the risk of exposing activists' personal data. This helped us respond more quickly and plan security measures.
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Our team started using big data to identify patterns of violence on social media. The most difficult part is filtering out noise without compromising user privacy. But once we managed to set up the processes, it became clear that we could predict trends and warn about potential risks in advance.
We started collecting data from social media to track violations of rights at the local level. Algorithms identify recurring patterns, but we often encounter privacy issues—we cannot disclose people's names. Do you think there is a reliable way to analyze data while also protecting vulnerable groups?