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Social Media Content Analytics beyond the Text: A Case Study of University Branding in Instagram

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Published:18 April 2019Publication History

ABSTRACT

Social media is unarguably one of the wealthiest sources of information. The opinions shared on social platform have an immense influence towards the brands equity. Social media has flourished with platforms like Facebook, Twitter, and Snapchat, etc. However, over the past decade, Instagram, one of the most famous photo posting social media, has dominated the youth's attention with its unique feature of being the first ever photo sharing application. Over the years, large-scale data of user activity has been collected by researchers, yet not a single research reflects the scope of applying Artificial Intelligence (AI) framework to social media. By applying the advanced frameworks of AI, we can acquire the capability to analyze the content of social media. This content analysis enables us to be privy to numerous brands on social media, namely, retail branding, fashion branding, and, education branding, etc. In this paper, we propose a framework for education branding in social media. Our approach redefines social intelligence by helping students choose their school and provide insight on the rapid growth of the university through ranking, trending sports teams, newly introduced courses, real-time student feedback and future goals of the universities. This case study enables us to interpret social media in a complete innovative view.

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            • Published in

              cover image ACM Conferences
              ACM SE '19: Proceedings of the 2019 ACM Southeast Conference
              April 2019
              295 pages
              ISBN:9781450362511
              DOI:10.1145/3299815
              • Conference Chair:
              • Dan Lo,
              • Program Chair:
              • Donghyun Kim,
              • Publications Chair:
              • Eric Gamess

              Copyright © 2019 ACM

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              Publication History

              • Published: 18 April 2019

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