Digital News Platform Users' Attitudes Toward Content Personalization: Between Self-Personalization and Algorithm-Based Personalization

 
The study aimed to analyze users' attitudes toward content personalization in digital news platforms and to identify their opinions and preferences regarding both self-personalization and algorithm-based personalization, which relies on analyzing user behavior on the platform. This is achieved by a field study on a sample of 350 individuals who use digital news platforms.
The importance of this study lies in being one of the first attempts to understand the perceptions of a sample of internet users in Egypt regarding news content personalization, and then to provide a set of indicators about the extent of users' acceptance and attitudes toward personalized news content.
The study findings were presented through two main dimensions, The first examines the news consumption patterns of the sample, including the frequency of their use of various digital news platforms, the criteria for selecting news platforms, preferred methods for the news consumption, and other consumption patterns.
The second dimension focuses on respondents' attitudes toward news content personalization, whether through self-personalization or algorithm-based personalization, with a focus on respondents’ preferences, the expected benefits of personalized news content, As well as the problems or challenges associated with personalization, and the implications of personalizing news content on the user experience.