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Conference paper Open Access 0 Citations

DISCOVERING SIMILAR ORGANIZATIONAL SOCIAL MEDIA STRATEGIES USING CLASSIFICATION AND CLUSTERING

Figueira, A , Oliveira, L , Álvaro Figueira , Luciana Gomes Oliveira
ISLA — Instituto Politécnico de Gestão e Tecnologia
2016
DOI: 10.21125/inted.2016.0423 Handle: http://repositorio.inesctec.pt/handle/123456789/5817

Resume

Abstract
Organisations have been striving to account for the resources they've been allocating to Social Media integration and management, essentially because this integration has been occurring without a previously designed content strategy, which will foster the desired fan engagement.In order to establish a comparison of social media strategies between HEIs, we developed a seven category model, encompassing the fundamental communication areas of focus for higher education service providers.Then, we performed a classification of these HEI posts in Facebook, according to our model.For this step, we used six of the most promising, and prominent, classifiers to obtain a predicted category for each post.Combining all posts from each HEI according to the model we get the HEI's editorial strategy.By clustering the overall social media strategies and corresponding response rate we discover the sector's monitoring HEI and, through a benchmarking process, we retrieve useful inputs for the design of social media strategies for HEI.

Keywords

#Higher education institutions #social media content strategy #Facebook posts #fan engagement #editorial strategy #response rate #Cluster analysis #Computer science #Social media

Bibliographic Details

Publication Type Conference paper
Publication Year 2016
ISSN 2340-1079

ISLA Authors & Affiliations

A
Ana Mafalda Carvalho Gomes
maffagomes@gmail.com ID: 7512-AE6A-EC46
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L
Luciana Gomes de Oliveira
lgo@iscap.ipp.pt ID: AE1B-5FBF-2341
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