Understanding the Effects of Personalized Recommender Systems on Political News Perceptions: A Comparison of Content-Based, Collaborative, and Editorial Choice-Based News Recommender System

RT @MaggieLiao6: Excited to share that my first ever solo author paper is now published in JoBEM! 🙌In this study I examined how users react…

RT @MaggieLiao6: Excited to share that my first ever solo author paper is now published in JoBEM! 🙌In this study I examined how users react…

RT @MaggieLiao6: Excited to share that my first ever solo author paper is now published in JoBEM! 🙌In this study I examined how users react…

This is such an interesting finding!! Algorithmic news recommender systems that employ collaborative filtering and informs its users about it are considered more credible and less biased.