Imagememeresearch

• Utilizes a multidisciplinary approach combining rhetorical analysis and ecological frameworks.
• Employs computational techniques for large-scale claim identification in image memes.
• Analyzes the interaction and evolution of memetic claims within information ecosystems.
• Collects and curates diverse image meme samples from various social media platforms.

Key Findings

• Image memes serve as significant artifacts that influence public beliefs and sentiments.
• The framework reveals how image memes can pollute information ecosystems with misinformation.
• Identifying evidence patterns in image memes can inform strategies to combat misinformation.
• The study highlights the importance of understanding the cumulative impact of image memes on public discourse.

Prerequisites

• Information security and risk management
• Cognitive science and sensemaking frameworks

🎯 Consulting & Tutoring

Daniel Ari Friedman, PhD is available for AI Research Consulting and Tutoring related to this skill.

Related Skills

See BIBLIOGRAPHY.md for the complete publication catalog and related papers.