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All Journal International Journal of Electrical and Computer Engineering
Erwin B. Setiawan
Institut Teknologi Bandung
Computer Science & IT Electrical & Electronics Engineering

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Measuring information credibility in social media using combination of user profile and message content dimensions Erwin B. Setiawan; Dwi H. Widyantoro; Kridanto Surendro
International Journal of Electrical and Computer Engineering (IJECE) Vol 10, No 4: August 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (691.356 KB) | DOI: 10.11591/ijece.v10i4.pp3537-3549

Abstract

Information credibility in social media is becoming the most important part of information sharing in the society. The literatures have shown that there is no labeling information credibility based on user competencies and their posted topics. This study increases the information credibility by adding new 17 features for Twitter and 49 features for Facebook. In the first step, we perform a labeling process based on user competencies and their posted topic to classify the users into two groups, credible and not credible users, regarding their posted topics. These approaches are evaluated over ten thousand samples of real-field data obtained from Twitter and Facebook networks using classification of Naive Bayes (NB), Support Vector Machine (SVM), Logistic Regression (Logit) and J48 algorithm (J48). With the proposed new features, the credibility of information provided in social media is increasing significantly indicated by better accuracy compared to the existing technique for all classifiers.
Co-Authors Dwi H. Widyantoro Kridanto Surendro