Recommendation algorithms shape much more than what we see in our social media feeds - but how much do we really understand about their influence? In this episode of Trust in Tech, host Olivia Conti sits down with Luca Belli, author of Hidden Influences, to unpack how recommender systems work and the ways they shape our online experiences, preferences, and even beliefs. They explore the incentives driving platform design, the limitations of engagement-based metrics, and the often-overlooked role of recommendation algorithms in content moderation.
The conversation also examines what greater transparency, regulation, and independent auditing could mean for building safer, more accountable platforms.
For 45% off your purchase of Hidden Influences, please use code integritypod at manning.com.
