International Journal of Image, Graphics and Signal Processing (IJIGSP)
IJIGSP Vol. 17, No. 1, 8 Feb. 2025
Cover page and Table of Contents: PDF (size: 4291KB)
Intelligent Processing Censoring Inappropriate Content in Images, News, Messages and Articles on Web Pages Based on Machine Learning
PDF (4291KB), PP.107-164
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Author(s)
Oleksiy Tverdokhlib
1
Victoria Vysotska
1
Olena Nagachevska
1
Yuriy Ushenko
2,*
Dmytro Uhryn
2
Yurii Tomka
2
Index Terms
Internet Safety, Image, Image Recognition, Hate Speech Identification, News, Massage, Article, Censorship, Inappropriate Content, Browser Extension, AI Technology, Content Filtering, Personalization
Abstract
This project aims to enhance online experiences quality by giving users greater control over the content they encounter daily. The proposed solution is particularly valuable for parents seeking to safeguard their children, educational institutions striving to foster a more conducive learning environment, and individuals prioritising ethical internet usage. It also supports users who wish to limit their exposure to misinformation, including fake news, propaganda, and disinformation. Through the implementation of a browser extension, this system will contribute to a safer internet, reducing users' vulnerability to harmful content and promoting a more positive and productive online environment. The primary objective of this work is to develop a browser extension that automatically detects and censors inappropriate text and images on web pages using artificial intelligence (AI) technologies. The extension will enable users to personalise censorship settings, including the ability to define custom prohibited words and toggle the filtering of text and images. Accuracy estimates for various classifiers such as Random Forest (0.879), Logistic Regression (0.904), Decision Tree (0.878), Naive Bayes (0.315), and KNN (0.832) were performed.
Cite This Paper
Oleksiy Tverdokhlib, Victoria Vysotska, Olena Nagachevska, Yuriy Ushenko, Dmytro Uhryn, Yurii Tomka, "Intelligent Processing Censoring Inappropriate Content in Images, News, Messages and Articles on Web Pages Based on Machine Learning", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.17, No.1, pp. 107-164, 2025. DOI:10.5815/ijigsp.2025.01.08
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