The Null Device
Analysis of Facebook updates
Following in the footsteps of OKCupid's data-mining blog
, some people at Facebook have recently
analysed a sample of status updates by word category
, extracting correlations between word categories (as well as overall subject matter and positivity/negativity), time of day and probability of updates being liked/commented on. The analysis has shown, among other things:
- there are correlations between word categories and age; older people use more first-person plurals, positive emotions and references to religion and family, while young people tend to talk in the singular first-person (presumably adolescent alienation?), mention sadness and death, swear a lot and talk about sex, music and TV.
- People with more friends talk more about social processes and other people, and have higher total word counts; whereas, while talking about home, family and emotions are correlated with having fewer friends, the most strongly correlated categories are time and the past.
- Positive emotions are one of the most likely categories to be liked, but least likely to attract comments. Negative emotions, however, attract a lot of comments (presumably from the people posting empathetic "Don't Like" messages).
- The one thing less likeable than negative emotions is talk about sleeping.
- People who talk about metaphysical or religious subjects are most likely to be friends. And people who use prepositions a lot tend not to be friends with people who swear a lot or exhibit anger or negative emotions.
There are 3 comments on "Analysis of Facebook updates":
Please keep comments on topic and to the point. Inappropriate comments may be deleted.
Note that markup is stripped from comments; URLs will be automatically converted into links.