Social media content analytics: Study on B2C fan-pages

Rahman, Z. and Kumaran, S. and Zanuddin, H. and Moghavvemi, S. and Nasir, M.H.N.M. (2017) Social media content analytics: Study on B2C fan-pages. In: The 6th International Conference on Social Sciences and Humanities (ICOSH-UKM) 2017, 4-6 April 2017, Faculty of Social Sciences and Humanities, Universiti Kebangsaan Malaysia (National University of Malaysia), Bangi, Selangor, Malaysia.

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Abstract

One of the supreme way of directly connecting with consumers via Social Networking Sites (SNS) is to generate a brand page in Facebook (called fan page) containing products information and publish regular po stings on these pages. Customers will reply differently to these postings. In defining the effectiveness of social networking sites, marketers are measuring metrics to calculate the engagement rate (e.g. number of comments/share and likings in fan pages). The study applied Pseudotheories and analyzed a total 3543 brand posts from 19 ofthe most popular B2C (Business to Consumer) fan pages of Malaysia. 12 months' worth of data (From September 2015- August 2016) were collected for analyses, which were available online from the Brand's fan pages. The Fan-page content was analyzed using Cross Section Regression of the EVIEWS 9 software for its impact on multiple contents upon user's engagement actions. The study explored the content features (content quality, content valence and content volume) ofS-O-R (Stimulus -Organism-Response) model and identify their impact on user's engagement actions (Like, comments and shares). The findings of the study will direct emarketers to apprise informational analyses upon the effectiveness of the posted contents' features.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Conference Paper
Uncontrolled Keywords: Social media metrics analysis; Fan pages; Social media marketing; Social media content analysis; Social media engagement
Subjects: H Social Sciences > H Social Sciences (General)
P Language and Literature > P Philology. Linguistics > Communication. Mass media
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Arts and Social Sciences
Faculty of Computer Science & Information Technology
Depositing User: Mr. Mohd Safri
Date Deposited: 07 Nov 2017 01:49
Last Modified: 07 Nov 2017 01:49
URI: http://eprints.um.edu.my/id/eprint/18122

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