Journal of Digital Information Management Ali Hakimi Parizi, Mohammad Kazemifard, Mohsen Asghari 14 6 2016 http://dline.info/fpaper/jdim/v14i6/jdimv14i6_5.pdf In the present study, a system is offered, which can recommend news regarding the emotion of users towards the previous news articles the user has searched so far. This recommendation is in a way, which affects the user's emotion positively. This study reveals that with manipulating the recommendation list we can have a positive impact on the emotion of users. For this purpose, a news application for android devices is developed, which can inform users about daily news and recommend some news to change their emotion toward a positive side. The proposed system is checked in terms of its engine performance and influence on their emotion. To evaluate our system, two groups of people have been chosen which one of them has used the proposed system and the other one has used a simple news application. For a period of more than a month, the emotional impact of the system has been monitored. Investigations and analyses on the users given feedbacks indicate the positive effect of the proposed system on the emotion of users and the alteration of their emotion towards a positive side is 11 times more than a simple news application.