Open access Jurnal SINTA 1
Measuring information credibility in social media using combination of user profile and message content dimensions
International Journal of Electrical and Computer Engineering (IJECE) · Vol. 10 No. 4 (2020)
- ISSN
- 2722-2578, 2088-8708
- Published
- 2020-08-01
- Publisher
- Institute of Advanced Engineering and Science
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.
Collaboration network of the authors
33 authors · 61 co-authorship links · 14 across different organisations
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Bandung Institute of Technology
- Telkom University
- Universitas Mikroskil
- Indonesia University of Education
- Universitas Teknologi Bandung
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Masayu Leylia Khodra | Bandung Institute of Technology | 4 |
| Bambang Riyanto Trilaksono | Bandung Institute of Technology | 3 |
| E. Aminudin Aziz | Indonesia University of Education | 3 |
| Ayu Purwarianti | Bandung Institute of Technology | 2 |
| Olivia Olivia | Bandung Institute of Technology | 2 |
| Isman Kurniawan | Telkom University | 1 |
| Mela Mai Anggraini | Telkom University | 1 |
| Annisa Aditsania | Telkom University | 1 |
| Benhard Sitohang | Bandung Institute of Technology | 1 |
| Suhono Harso Supangkat | Bandung Institute of Technology | 1 |
| Ahmad Dahlan | Bandung Institute of Technology | 1 |
| Afrida Helen | Bandung Institute of Technology | 1 |
| Ghoziyah Haitan Rachman | Bandung Institute of Technology | 1 |
| Fariska Zakhralativa Ruskanda | Bandung Institute of Technology | 1 |
| Mohammad Ridwan Effendi | Bandung Institute of Technology | 1 |
| Muhammad Shalahuddin | Universitas Teknologi Bandung | 1 |
| Wikan Danar Sunindyo | Bandung Institute of Technology | 1 |
| Eva Hariyanti | Affiliation unknown | 1 |
| Indah Werdiningsih | Affiliation unknown | 1 |
| Roni Yunis | Universitas Mikroskil | 1 |
| Erwin Setiawan Panjaitan | Universitas Mikroskil | 1 |
| Nur Ulfa Maulidevi | Bandung Institute of Technology | 1 |
| Yudi Setiawan | Bandung Institute of Technology | 1 |
| Sandi Wibowo | Affiliation unknown | 1 |
| Abdullah Karim | Affiliation unknown | 1 |
| Neng Ayu Herawati | Affiliation unknown | 1 |
| Lenny Putri Yulianty | Affiliation unknown | 1 |
| Heru Nugroho | Bandung Institute of Technology | 1 |
| Sugondo Hadiyoso | Telkom University | 1 |
| Tati Latifah Erawati Rajab | Bandung Institute of Technology | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.