Social media engagement : identifying the predictive anatomy of organic social content

by -3442-5181

Institution: University of Texas – Austin
Year: 2016
Keywords: Organic social media; Social media; Social media advertising; Social media engagement
Posted: 02/05/2017
Record ID: 2072567
Full text PDF: http://hdl.handle.net/2152/39080


Today, more than ever before, social media plays an integral role in digital brand communication. Advertisers and marketers are continually working to capitalize on the massive size and popularity of modern social media in hopes of building stronger relationships with their consumers. Increasingly, social networking sites like Facebook and Twitter – under pressure to increase revenue – have made it harder for organic social content to effectively reach and engage consumers without paid support. With the surging usage of ad blockers, there is evidence to suggest that organic social media content may soon be an essential backbone to any robust digital strategy. To this end, this study examines and identifies the predictive components that make up organic social media content in order to provide a focal point for effective content optimization. Analyses reveal three components of organic content as significant predictors: the number of handles included in a message, the number of hashtags within a message, and the time at which a message is posted. Advisors/Committee Members: Eastin, Matthew S. (advisor), Wilcox , Gary (advisor).