Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Journal of Scientific Research, Education, and Technology
Muhammad Rizqi Raka Siwi
Universitas Teknologi Yogyakarta
Computer Science & IT Economics, Econometrics & Finance Education Engineering Social Sciences

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Mobile App for News Bias Detection Using Rule-Based Classification Muhammad Rizqi Raka Siwi; Anita Fira Waluyo
Journal of Scientific Research, Education, and Technology (JSRET) Vol. 5 No. 2 (2026): Vol. 5 No. 2 2026
Publisher : Kirana Publisher (KNPub)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58526/jsret.v5i2.1122

Abstract

In the digital era, online media has become a primary source of information, but it also increases the risk of biased news dissemination that can influence public opinion. This study aims to develop a mobile application for automatically detecting bias in online news using web scraping and rule-based text classification. The application is built with Flutter and uses Firebase as the backend. The system retrieves articles from user-provided URLs and analyzes their content based on predefined keywords categorized into political, sensational, and confirmation bias. The results are presented as a bias score, label, and comparative analysis, and stored in user history. Black-box testing shows that all main features function as expected. The application is intended to support media literacy by helping users identify news bias independently.
Co-Authors Waluyo, Anita Fira