Emerging Tech, Ethics, & Monetization

This unit examines how emerging computing paradigms (NISQ and post‑NISQ quantum, advanced AI, and edge sensing) affect social media marketing practice, data reliability, and new revenue opportunities. Students explore governance and ethical challenges of opaque algorithms, assess risks to information integrity, and design data‑driven marketing strategies that balance innovation with privacy, security, and bias mitigation.

Learning Objectives

• Analyze the potential impacts of quantum computing, NISQ‑era advances, and future computing paradigms on data processing, audience targeting, and campaign performance in social media marketing
• Evaluate ethical and governance issues—including algorithmic bias, opacity, privacy, and information reliability—and formulate mitigation strategies for social media campaigns
• Apply scenarios from precision agriculture, intelligent transportation, and digital delegation to design at least one new data‑driven social media monetization or targeting strategy that addresses privacy, energy, and security constraints
• Demonstrate methods to assess and improve the reliability and resilience of information and algorithmic outputs (including threats from software viruses, energy constraints, and quantum reliability limits) to maintain audience trust