Algorithm and Implementation of the Blog-Post Supervision Process

TL;DR

This paper presents an algorithm for supervising blog posts to prevent offensive content from being published, significantly reducing the spread of inappropriate material in the blogosphere.

Contribution

The paper introduces a novel algorithm for blog post supervision that effectively detects and blocks offensive entries before publication.

Findings

Approximately 90% of offensive posts are detected and prevented from publishing.

The approach reduces chaotic and inappropriate content in the blogosphere.

The algorithm enhances the moderation process without compromising blogging freedom.

Abstract

A web log or blog in short is a trendy way to share personal entries with others through website. A typical blog may consist of texts, images, audios and videos etc. Most of the blogs work as personal online diaries, while others may focus on specific interest such as photographs (photoblog), art (artblog), travel (tourblog), IT (techblog) etc. Another type of blogging called microblogging is also very well known now-a-days which contains very short posts. Like the developed countries, the users of blogs are gradually increasing in the developing countries e.g. Bangladesh. Due to the nature of open access to all users, some people misuse it to spread fake news to achieve individual or political goals. Some of them also post vulgar materials that make an embarrass situation for other bloggers. Even, sometimes it indulges the reputation of the victim. The only way to overcome this problem is to bring all the posts under supervision of the blog moderator. But it totally contradicts with blogging concepts. In this paper, we have implemented an algorithm that would help to prevent the offensive entries from being posted. These entries would go through a supervision process to justify themselves as legal posts. From the analysis of the result, we have shown that this approach can eliminate the chaotic situations in blogosphere at a great extent. Our experiment shows that about 90% of offensive posts can be detected and stopped from being published using this approach.