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High/low reputation companies' dialogic communication activities and semantic networks on Facebook: A comparative study
- Authors
- Hong, Yoo Jung; Shin, Donghee; Kim, Jang Hyun
- Issue Date
- Sep-2016
- Publisher
- ELSEVIER SCIENCE INC
- Keywords
- Social media; Reputation management; Semantic network; Social network; NodeXL
- Citation
- TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, v.110, pp 78 - 92
- Pages
- 15
- Journal Title
- TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
- Volume
- 110
- Start Page
- 78
- End Page
- 92
- ISSN
- 0040-1625
1873-5509
- Abstract
- The present study aims to examine whether there is a significant difference between the level of activity and semantic networks of the Facebook pages of highly reputable and less reputable companies of the same industry. Applying the dialogic communication theory, the present study conducted a semantic network analysis. Samples used in the study include a total of five technology companies: Google, Sony, Dell, Fujitsu and Lenovo. Various elements, such as word clusters, co-occurring words and visual representation, were carried out through NodeXL, WORDij and UCINET software. The results show that high reputation score companies are not necessarily more engaged in direct interaction with its publics than low reputation score companies. In addition, high reputation score companies had positive words, whereas low reputation score companies had mixed results. (C) 2016 Elsevier Inc. All rights reserved.
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Collections - College of Social Sciences > School of Media & Communication > 1. Journal Articles
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