Consumers’ Willingness to Share Personal Data: Implications for Newspapers’ Business Models

Abstract

As people’s willingness to pay for digital news remains low, this article investigates whether people would be willing to share personal data as a new currency for accessing news. Increasingly, news organizations collect personal data and track cross-media consumption to build detailed knowledge about and (re)connect with digital news consumers. This article presents the results of an industry-driven big data project that allows news organizations to engage with their audience more deeply by suggesting personalized content recommendations, serving targeted advertising and/or improving the user experience. It presents the concept of the datawall, where the user pays with their data, and delivers new insights into the challenges facing data-driven business models.