Advanced search

News personalization: the value of mobile news recommendations

Kristin Van Damme (UGent) and Cédric Courtois (UGent)
Author
Organization
Abstract
Mobile news consumption plays an increasingly important role in our daily lives. Globally, users are forecast to consume more news via mobile than desktop by the end of 2014 (Wilkinson, Mcmullan, & Rosenberg, 2013). News consumers find the latest news updates on their mobile devices, wherever and however they want. The endless stream of news updates tends to become overwhelming. For that reason, news platforms use algorithms to provide a customized and manageable news offer. The present mixed-method study investigates whether these personalized and contextualized news recommendations lead to a better user experience, and if so, to higher levels of news consumption. In this research, a news recommendation engine was built based on the triple articulation framework, which states that meaning is given through three entwined dimensions: technology, media text and contextual encapsulation. This framework has been shown to be a valuable concept for audio-visual media consumption (Courtois, Verdegem, & De Marez, 2013). Considering mobile news consumption, these three levels of articulation translate to (1) the mobile device as technology, (2) the news item as media text and (3) the time and location of the news consumption as socio-spatial context. The results supports the value of content-based automatic news recommendations to generate a personalized news diet. Nevertheless, the results invite caution concerning the context parameter, as both self-declared and observational data suggest it plays a minor, secondary role.
Keywords
Mobile media, news algorithms, mobile news, recommendations

Citation

Please use this url to cite or link to this publication:

Chicago
Van Damme, Kristin, and Cédric Courtois. 2014. “News Personalization: The Value of Mobile News Recommendations.” In The International Symposium on Media Innovations, Abstracts.
APA
Van Damme, Kristin, & Courtois, C. (2014). News personalization: the value of mobile news recommendations. The International Symposium on Media Innovations, Abstracts. Presented at the The International Symposium on Media Innovations.
Vancouver
1.
Van Damme K, Courtois C. News personalization: the value of mobile news recommendations. The International Symposium on Media Innovations, Abstracts. 2014.
MLA
Van Damme, Kristin, and Cédric Courtois. “News Personalization: The Value of Mobile News Recommendations.” The International Symposium on Media Innovations, Abstracts. 2014. Print.
@inproceedings{4240314,
  abstract     = {Mobile news consumption plays an increasingly important role in our daily lives. Globally, users are forecast to consume more news via mobile than desktop by the end of 2014 (Wilkinson, Mcmullan, \& Rosenberg, 2013). News consumers find the latest news updates on their mobile devices, wherever and however they want. The endless stream of news updates tends to become overwhelming. For that reason, news platforms use algorithms to provide a customized and manageable news offer. The present mixed-method study investigates whether these personalized and contextualized news recommendations lead to a better user experience, and if so, to higher levels of news consumption. In this research, a news recommendation engine was built based on the triple articulation framework, which states that meaning is given through three entwined dimensions: technology, media text and contextual encapsulation. This framework has been shown to be a valuable concept for audio-visual media consumption (Courtois, Verdegem, \& De Marez, 2013). Considering mobile news consumption, these three levels of articulation translate to (1) the mobile device as technology, (2) the news item as media text and (3) the time and location of the news consumption as socio-spatial context. The results supports the value of content-based automatic news recommendations to generate a personalized news diet. Nevertheless, the results invite caution concerning the context parameter, as both self-declared and observational data suggest it plays a minor, secondary role.},
  author       = {Van Damme, Kristin and Courtois, C{\'e}dric},
  booktitle    = {The International Symposium on Media Innovations, Abstracts},
  language     = {eng},
  location     = {Oslo, Norway},
  title        = {News personalization: the value of mobile news recommendations},
  year         = {2014},
}