Assessing symptoms of excessive SNS usage based on user behavior and emotion: Analysis of log data

Conference proceedings article

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Publication Details

Author list: Intapong P., Charoenpit S., Achalakul T., Ohkura M.

Publisher: Springer

Publication year: 2018

Volume number: 585

Start page: 387

End page: 397

Number of pages: 11

ISBN: 9783319604947

ISSN: 2194-5357

eISSN: 2194-5357

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85021704313&doi=10.1007%2f978-3-319-60495-4_41&partnerID=40&md5=4ec3fdf94c149f879707fd554f17c878

Languages: English-Great Britain (EN-GB)

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Abstract

The use of social networking sites (SNSs) continues to dramatically increase. People are spending unexpected and unprecedented amounts of time online. Such excessive and compulsive use has been categorized as a behavioral addiction. We assessed the symptoms of excessive SNS usage by studying user behavior and emotion in SNSs. In previous studies, we developed a data collection application as a tool for collecting data from questionnaires and SNSs by APIs. We experimentally collected data from undergraduate students at the Thai-Nichi Institute of Technology (TNI), Thailand. To improve our data analysis, we employed web log data and analyzed, including the combination with questionnaires data to clarify SNS usage behaviors and the factors associated with SNS addiction. Our analytical results identified the variables that distinguish excessive users from normal users. ฉ Springer International Publishing AG 2018.

Keywords

SNS, Social network addiction, Social networking sites, User behavior