Protecting and Preserving Protest Dynamics for Responsible Analysis

ArXi:2604.05256v1 Announce Type: new Protest-related social media data are valuable for understanding collective action but inherently high-risk due to concerns surrounding surveillance, repression, and individual privacy. Contemporary AI systems can identify individuals, infer sensitive attributes, and cross-reference visual information across platforms, enabling surveillance that poses risks to protesters and bystanders.