Here’s why people have different persona on social media sites

New York, April 12 (IANS) Individuals' different social etworking profile on sites like Facebook, Twitter, and LinkedIn stem from a desire to fit within the distinctive culture or etiquette of each site, say researchers, including one of Indian-origin.

The findings showed that users are not explicitly modifying their profile, but rather subconsciously adapting the behaviour modelled to fit in.

"Despite our best efforts, we do still fit stereotypes of gender and age in the way we tailor our persona," said Nishanth Sastry, Senior Lecturer at King's College London.

For instance, a photo of someone's colourful Starbucks drink may be popular on Instagram, but the same image post to LinkedIn would be frowned upon.

"The users tend to portray themselves differently in these different worlds," added Dongwon Lee, Associate Professor at the Pennsylvania State University.

The findings will be presented at the International AAAI Conference on Web and Social Media (ICWSM) in Canada.

For the research, the team compiled information on over 100,000 social media users by utilising About.me -- a site that acts as a social media directory -- where users volunteer their own profiles, making it an extremely reliable dataset.

Upon analysing the profile pictures and biography information provided by these users, the team also found some surprising differences in how different demographics portray themselves.

The results showed that women were less likely to wear corrective eyewear, like reading glasses, in their profile pictures and users under the age of 25 were less likely to be smiling in their profile picture.

"Social media consumes an increasingly large portion of our lives. Therefore, understanding how we interact with each other on social media is important to understanding who we are in the online world, and how we relate to each other in virtual but still meaningful ways," Sastry added.

(This story has not been edited by Social News XYZ staff and is auto-generated from a syndicated feed.)