The more time we spend in cyberspace, the more we seem to be revealing about ourselves. We certainly learn more about other people than we would probably like on social media; in addition, according to the data, we are beginning to notice more about ourselves as a species the longer we spend online.
Moods
By tracking social media posts in which people talk about how much or how little they want to do things, we can obtain an overall impression of when people are most and least happy.
You have probably figured out for yourself that people are least happy when it is time to work and tend to be happiest in the late afternoon and when the weekend is approaching. Naturally, this happiness tends to plummet around Sunday afternoon.
Outside of understanding human nature, data analysis happens to be pretty helpful for maximising your company’s potential, especially if you are inexperienced in the field. You can find a data analysis company online to help out with this, such as //shepper.com.
Secret spousal hate
Men and women tend to differ completely when it comes to posts and secret Google searches, data finds. Men are more likely to Google ‘my wife is crazy’, whilst women are the opposite. On social media, women will most often post ‘my husband is the best’, but their Google searches suggest quite the opposite, with anything from insults to anxieties following on from ‘my husband is a.’ when they search.
Data can also show when people are most likely to break up, typically being early March or early December. This is likely to be due to some overlap with certain holidays.
Racism
People tend to keep their views on race more sheltered from the public eye, depending on who you follow online. It turns out Google searches offer a lot of insight into how people view different minority groups.
Common searches on races and religions reveal stereotyping, with certain groups appearing more in searches for ‘why are X stupid/evil?’ whilst certain slurs appear more often before ‘jokes’ than others.