Contrary to commonly held belief that users simply want to share everything with everyone on social media, a new study reveals that Twitter users are forming ‘tribes’ with their own languages, according to The Guardian.
Analysis of a substantial number of Tweets was done by academics at Royal Holloway, University of London
and Princeton University. According to the joint article published on the journal
of EPJ Data Science, a relationship between human communication and
social networks can be seen, which suggests the interaction between language
use and human society.
What this all boils down to is the theory that we will be able to
identify emerging social groups and classify a hierarchy of online communities
in social networks based on their use of key words. For example, ‘Tbr’ can be used to identify fans of comics
and novels; ‘Avn’ can be traced to Twitter users sharing and discussing
pornography; ‘Melb’ are Australian users, while users who tweet ‘Alterra’ are
related to University of Wisconsin-Milwaukee community.
For individuals who used Twitter extensively and tweet a lot of text, the
level of accuracy is even up to 80%, Science
Omega quoted Dr. John Bryden, project leader and postdoctoral research assistant.
Similar to previous findings about Facebook,
this study also confirms social media’s ability to disclose one’s personal information
and identity, such as race, nationality, hobbies, political orientation, and
even religion, according to Science
Omega.
Image: Guardian
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