Collecting Data of SNS User Behavior to Detect Symptoms of Excessive Usage: Technique for Retrieving SNS Data

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Ploypailin Intapong
Tiranee Achalakul
Michiko Ohkura


Social networking sites (SNSs) have become widely used and their usage continues to increase. People use SNSs to connect with friends and family. Many businesses also use them as a marketing tool. Nevertheless, many studies have warned about the negative consequences of excessive SNS usage, including the potential of addictive behavior. Therefore, detecting the symptoms of excessive SNS usage is necessary. Data collection is an important first step for analyzing the SNS usage behavior. We designed a data collection application by employing questionnaire to gather user experiences and APIs to retrieve SNS data. We also designed questionnaire and experimentally evaluated it. The results showed that they have an appropriate usability as an instrument for gathering data. In this article, we introduce the techniques for obtaining data from SNSs. Each SNS provides different API for extracting data from their sites. At the beginning, we focus on Twitter and Facebook. These data collection techniques will be utilized in implementing the application. Unfortunately, these methods are limited. Thus, we will collect more data from Internet service providers (ISPs). The obtained data from our application will be applied to detect symptoms of excessive use of SNSs and develop prevention strategies.


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