Arabic Wikipedia users' personalized behavior analysis considering gender gap.

Introduction: As many web platforms adopt collaborative content editing models, the gender gap is addressed as one of the chief concerns in using technology to restrict content editing by one gender.

Objective: This study aims to analyze the Arabic Wikipedia, the largest collaborative content editing platform on the Arabic web, in terms of gender behavior and differences in user activities.

Methods: This study is the first to address the gender gap in Arabic Wikipedia, characterize users' gender through their behavior, and then address changes in characteristics over the past five years.

Emotion detection of social data: APIs comparative study.

The development of emotion detection technology has emerged as an efficient possibility in the corporate sector due to the nearly limitless uses of this new discipline, particularly with the unceasing propagation of social data. In recent years, the electronic marketplace has witnessed the establishment of various start-up businesses with an almost sole focus on building new commercial and open-source tools and APIs for emotion detection and recognition. Yet, these tools and APIs must be continuously reviewed and evaluated, and their performances should be reported and discussed.

Investigating users' experience on social media ads: perceptions of young users.

Social media platforms changed from being socialization platforms to serve businesses through advertisements. This research aims at investigating active young users' experience with social media ads by studying the personalization and the usefulness of the ads, and the role of the host architecture of the used platform. The results prove that users' experience was affected by the designated variables: personalization, perceived usefulness, and the host architecture.