Research on AI and Image Manipulation in Social Media, Detection and Privacy Focus

Vasim Ahmad authored a study on artificial intelligence and image manipulation in social media, available on figshare. The research is primarily detection-centred and discusses privacy implications such as face recognition, identity misuse, and misinformation. The dataset includes files in PDF, DOCX, and CSV formats totaling 1.9 MB.

Use Cases

• Train detection models for AI-generated or manipulated images based on the study's detection-centered focus.
• Analyze privacy implications of image-based technologies based on described concerns like face recognition and identity misuse.
• Study the relationship between digital authenticity and cybersecurity threats based on themes in the description.
• Benchmark misinformation detection algorithms based on the described link between image manipulation and misinformation.

Strengths

• Dataset includes multiple file formats (PDF, DOCX, CSV) for flexibility in analysis.
• Released under a permissive CC0-1.0 license, allowing for unrestricted use.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

figshare

Freshness

Last updated 2026-05-18 07:15:36; freshness should be verified.