Analysis of cinema and electronic art contents into quantifiable characteristics could provide insights on important elements of human behaviour such as voting behaviour, appreciation, and emotions regarding content. Analysis of movies, series, TV programs, and video games, were performed mining the IMBD database and merging datasets. Data analytics were performed including the relationship between the number of votes and rating, rating and content as timeseries, and multivariate statistical analysis between content and rating as well as production type and rating. Content complexity (i.e. the number of different genre) was also analyzed regarding rating. Results indicated that there is an overall positive relationship between the number of votes and rating for low, intermediate, and high number of votes, while very high number of votes is related with a partisan voting behaviour resulting in negative rating. Adult rated content is declining over the past three decades. Violent content is expressed via other forms of content through time, switching from war to horror. Diversity of content was the highest rated content type linked with diversity and complexity of feelings and emotions. Among all production types, video games were the highest rated ones related with integrative social behaviour with other users or addiction.