Hidden Influences (MEAP 3) by Luca Belli (.ePUB)+
File Size: 10 MB
Hidden Influences: How algorithmic recommenders shape our lives (MEAP 3) by Luca Belli
Requirements: .ePUB, .PDF, .MOBI/.AZW reader, 10 MB
Overview: You don’t choose what you see on the internet. Algorithms choose for you. We spend 12 billion hours a day browsing the internet. And in the background, sophisticated recommender systems silently decide what appears on our feeds, what we click next, and what we think we want. These invisible algorithms direct our entertainment, news, shopping, friendships, dates—even our sense of identity. Algorithmic recommender systems are some of the internet’s most closely guarded secrets. Hidden Influences pulls back the curtain, showing why they’re so seductive and how they influence your beliefs, desires, and behavior. This book tells you how they work and gives you tools to reclaim your agency. Dr Luca Belli, co-founder and former research lead for Twitter’s Machine Learning Ethics, Transparency and Accountability team, has been on the front lines of how recommender systems work and impact society. In Hidden Influences, he lays out who uses this powerful technology to shape our world, and exactly how they do it. Recommender systems are a specialized type of algorithm that ranks (or orders) a set of items according to a specific goal. When recommender systems are used, we say that the content has been algorithmically ranked. For example, ranking social media posts by time is a type of algorithmic ranking, albeit one that doesn’t take into account personalization. On the other hand, using users’ past preferences to rank unseen movies in order of inferred preference is a type of personalized algorithmic ranking. Of course, there are numerous ways to accomplish this task, but the overarching principle remains the same. In a world drowning in content, recommendation engines are the gatekeepers. They actively influence culture, democracy, privacy, and how we see each other. If you care about what you read, see and believe—and why—you need to understand recommendation systems. This book is written for all audiences. No advanced technical knowledge is required.
Genre: Non-Fiction > Tech & Devices
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