Ontology Based Fake News Detection for Sinhala Language

Odatha Bandara, D.G.T.S. Jayarathne, Dilshani Shashinika, L. Ranathunga
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引用次数: 2

Abstract

With the current trend in extensive use of internet technologies, people are accustomed to a life of being online. Similar phenomena apply for news awareness as well where social media has become one of the main sources of information of these tech-savvy people. Even though it gives easy access to information, there is a problem with the trustworthiness and authenticity of the news posted on social media. As such, fake news detection in social media platforms has become an active research area. Despite that, for the Sinhala language, there are only a few attempts carried out to detect fake news. With this background, this research project has come up with a novel idea of ontology-based fake news detection for news published using Sinhala language. We believe that content-based fake news identification is the most appropriate method to assess the truthiness of a news article and our system was able to give promising results in detecting fake news.
基于本体的僧伽罗语假新闻检测
随着当前互联网技术广泛使用的趋势,人们已经习惯了在线的生活。类似的现象也适用于新闻意识,社交媒体已经成为这些精通技术的人的主要信息来源之一。尽管它让人们很容易获得信息,但在社交媒体上发布的新闻的可信度和真实性方面存在问题。因此,社交媒体平台的假新闻检测成为一个活跃的研究领域。尽管如此,对于僧伽罗语来说,只有很少的尝试来检测假新闻。在此背景下,本研究项目提出了基于本体的僧伽罗语新闻假新闻检测的新思路。我们认为,基于内容的假新闻识别是评估新闻文章真实性的最合适方法,我们的系统能够在检测假新闻方面给出有希望的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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