Researchers conducted an analysis of tweets to see if presentations of self are more likely to be more egocentric, negative/positive, gendered or communal based on whether users were on a mobile device or using a web based platform.
Dhiraj Murthy from Goldsmiths, University of London, Sawyer Bowman from Bowdoin College, Alexander J Gross and Marisa McGarry from University of Maine collected 235 million tweets over the course of six weeks.
Ninety per cent of the top sources to access Twitter were coded to denote mobile, non-mobile and mixed sources. Drawing from social psychological methods, they then studied language use in tweets by analysing the frequency and ratios of words traditionally associated with social and behavioural characteristics.
They did not find that mobile tweets were particularly gendered. Regardless of platform, tweets tended to employ words traditionally associated as masculine.
"Very little work has been done comparing how our social media activities vary from mobile to non-mobile. And as we increasingly use social media from mobile devices, the context in which one uses social media is a critical object of study," said Murthy.
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