Towards classifying applications in mobile phone markets: The case of religious apps

Visitors of mobile applications store rely mainly on ranking, description and users reviews of an application to insure its credibility. Applications´ stores do not provide sophisticated classification and analysis to ensure applications credibility. Yet, they provide wealthy information that could help in the classification process. This paper introduces an ad hoc filtering model to classify religious applications based on their credibility into two categories: credible and non-credible. The proposed model utilizes attributes such as: title, developer, description, reviews and external sources to determine if an application should be blocked. The model was empirically applied on 79 non-credible apps in the Apple app store, and acceptable results were obtained.