Factors Influencing Algorithmic News Apps Use and Its Impact on Media Literacy

In the mobile Internet era, algorithmic news recommendation apps have become the primary means for many people to access news information, thanks to their personalized and accurate distribution methods. Previous research has mainly focused on the role of algorithms as gatekeepers in the news production and distribution processes, the ethics surrounding algorithm-recommended news, and the impact of such recommendations on users' viewpoints. However, there is a limited number of studies that examine the factors influencing users' engagement with these apps and their impact on media literacy from the user's perspective. This paper investigates the factors that affect the usage of algorithmic news recommendation apps, including the platforms' protection of users' rights and interests, content preferences, and other technological features.