LJubiša Bojić

Accurately forming personality judgments is of vital importance in a wide range of social interactions. Although people are able to make fairly accurate personality judgments of others, recent technological advances in machine learning made computers better at predicting personality than humans. In this review, we will focus on computer-based personality judgments and their theoretical considerations and practical implications in politics. More precisely, we will discuss (i) the use of social platforms and digital devices in collecting so-called digital footprints, (ii) personality traits that are assessed based on digital footprints, (iii) advantages and disadvantages of using computer-based personality judgments, (iv) persuasive communication based on digital footprints of personality traits, and lastly, (v) the matters of privacy and informed consent. With this review, we aim to provide a guide how to use computer-based personality judgment in a way to serve the public interest.

The Annual Attitude Examination Survey consisting of 366 questions was deployed on nationally representative sample in Serbia to get 2608 responses on the Oxford Happiness Inventory and Multiple Lickert scale questions concerning attitudes, fears, media use and closeness of different social categories to the participants. Research results confirm all hypotheses. Quantity of television use is negatively correlated to happiness. As for the quality of newspapers use, those consuming contents such as culture, sports and IT are happier than others. When looking at television use, individuals that prefer programs such as cartoons, culture, music, fashion, science, IT and sports are happier than others. This is the first research examining relationship of happiness and quality of media use. Future research should encompass data from online social networks in order to see how positive and negative emotions of media users are related to media content they are exposed to.

The Annual Attitude Examination Survey consisting of 366 questions was deployed on nationally representative sample in Serbia to get 2608 valid inputs on the Oxford Happiness Inventory and Multiple Lickert scale questions concerning attitudes, fears, media use and closeness of different social categories to the participants. Research results confirm that happiness is affected by certain attitudes and characteristics of research participants such as those indicating openness to new experiences, being people loving, optimistic, positive, future and present focused, knowledge oriented, relaxed, creative, helping, just and empathetic. This is the first happiness research in Serbia. Future inquiries of this kind should be moved towards the Internet as a source of continuous data.