Kristin Van Damme

What’s APPening to news? A mixed-method audience-centred study on mobile news consumption

News is increasingly being consumed on a multitude of media devices, including mobile devices. In recent years, mobile news consumption has permeated individuals’ news consumption repertoires. The main purpose of this study is twofold: (a) gain insight in how mobile news outlets infiltrated the broader news media repertoires of mobile device owners and (b) understand in what circumstances mobile news is consumed within these news media repertoires. The key is to understand how and why this widening agency in appropriating various places and social spaces in everyday life relates to general news media consumption (Peters, 2012). This two-phased study aims to illuminate how mobile device owners position their mobile news consumption in relation to other types of news media outlets. First, a guiding cluster analysis of a large-scale questionnaire (N = 1279) was performed, indicating three types of news consumers. Second, in order to thicken the originally derived clusters, a mixed-method study was set up, combining objective data originating from mobile device logs with more subjective audience constructions through personal diaries and face-to-face interviews (N = 30). This study reveals the Janus-faced nature of mobile news. On the one hand, the majority of news consumers dominantly relies on traditional media outlets to stay informed, only to supplement with online mobile services in specific circumstances. Even then, there is at least a tendency to stick to trusted brand materials. On the other hand, these mobile news outlets/products do seem to increasingly infiltrate the daily lives of mobile audiences who were previously disengaged with news.

A user-centric evaluation of context-aware recommendations for a mobile news service

Traditional recommender systems provide personal suggestions based on the user’s preferences, without taking into account any additional contextual information, such as time or device type. The added value of contextual information for the recommendation process is highly dependent on the application domain, the type of contextual information, and variations in users’ usage behavior in different contextual situations. This paper investigates whether users utilize a mobile news service in different contextual situations and whether the context has an influence on their consumption behavior. Furthermore, the importance of context for the recommendation process is investigated by comparing the user satisfaction with recommendations based on an explicit static profile, content-based recommendations using the actual user behavior but ignoring the context, and context-aware content-based recommendations incorporating user behavior as well as context. Considering the recommendations based on the static profile as a reference condition, the results indicate a significant improvement for recommendations that are based on the actual user behavior. This improvement is due to the discrepancy between explicitly stated preferences (initial profile) and the actual consumption behavior of the user. The context-aware content-based recommendations did not significantly outperform the content-based recommendations in our user study. Context-aware content-based recommendations may induce a higher user satisfaction after a longer period of service operation, enabling the recommender to overcome the cold-start problem and distinguish user preferences in various contextual situations.

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.