SELF-PORTRAITS IN SOCIAL MEDIA: MEANS OF COMMUNICATING EMOTION THROUGH VISUAL CONTENT-SHARING APPLICATIONS
SELF-PORTRAITS IN SOCIAL MEDIA: MEANS OF COMMUNICATING EMOTION THROUGH VISUAL CONTENT-SHARING APPLICATIONS

Summary/Abstract: The purpose of this study was to empirically examine means of communicating emotion through visual content-sharing applications. Building my argument by drawing on data collected from Georgia Institute of Technology, Mashable, Pew Research Center, Suggestme, Statista, and TechInfographics, I performed analyses and made estimates regarding U.S. adults who have ever taken a selfie and uploaded it to a social media website (%, by age group), selfies taken by category of the photographer (%), most popular cities to take a selfie in (% of all analyzed selfies), % saying they have shared a selfie (Millennial, Gen X, Boomer, and Silent), where selfies are being shared the most (%, Facebook, WhatsApp, Twitter, Instagram, Snapchat, and Pinterest), number of selfies posted weekly (%, by gender), and ways of sharing selfies (%, by demographic profile). Empirical data for this research were collected through an online survey conducted in the United States. The structural equation modeling technique was employed to test the research model.

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