Media on AI and Society Course

7.1 Recommendation Algorithms & Engagement Optimization

Thu, 21 May 2026 00:00:00 +0000

Recommendation Algorithms & Engagement Optimization

Context & Systems Architecture

Social media platforms like YouTube, TikTok, and Instagram are anchored by hyper-optimized recommendation architectures. These systems utilize machine learning pipelines to curate personalized feeds for hundreds of millions of users. Driven by a commercial model where user attention is directly monetized through advertising impressions, these systems are tuned to optimize for a single target: engagement maximization. The societal side effects of this design choice were exposed in historic whistleblower disclosures, revealing that platforms prioritize corporate growth over user safety.

7.2 Deepfakes & Non-Consensual Synthetic Media

Thu, 21 May 2026 00:00:00 +0000

Deepfakes & Non-Consensual Synthetic Media

Context & Systems Architecture

The democratization of generative artificial intelligence has led to a rapid proliferation of synthetic media, commonly known as deepfakes. Utilizing generative adversarial networks (GANs) and advanced diffusion models, malicious actors can synthesize high-fidelity video and voice clones using consumer-grade computer hardware. While occasionally deployed for creative satire or cinematic visual effects, the primary operational manifestation of this technology has been weaponized as a vector for targeted harassment, political disinformation, and non-consensual sexual violence.