Abstract
Recent years are seeing a sharp rise in the use of computational tools and methods to influence people’s perceptions, attitudes and behavior. While popular media tends to highlight fake news and misinformation campaigns, these are only part of a much wider phenomenon, which can be best termed as Computational Influence. Examples of Computational Influence include not only the algorithms that determine what we see on our social media newsfeeds, but also ads that chase us as we move from one website to another, recommendation systems that help us choose a movie or a hotel, instructive maps that tell us how to take shortcuts in places we’ve never been to, and socially-engineered phishing emails that try to get us to surrender our passwords or other sensitive data. In what follows I propose a working definition of Computational Influence, review its implications and discuss ways individuals and organizations can make effective and responsible uses of it.
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