Fake News Identification Using Regression Analysis and Web Scraping
نویسندگان
چکیده
From the last few years, use of social media has increased resulting into rise fake news and their spreading on a large scale. Recent political events have spread news. As seen by widespread impact huge beginning news, people are inconsistent in absence effective detectors. This work made an attempt to automate detection process employing logistic regression (LR) latest modified word embedding technique. In this paper, we worked recognition mechanism for 2 different datasets, viz. dataset comprising online traditional articles collected from wide range sources. The results compared with long short-term memory (LSTM) machine deep learning methods both datasets. It reveals that attention does not function as expected. With help word2vec embedding, original mechanism, which is more dealing issue. proposed method several outstanding approaches presented. Our outperforms these many parameters. approach created framework captures various indicators classifies genuine or makes decisions.
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ژورنال
عنوان ژورنال: International Journal of Safety and Security Engineering
سال: 2022
ISSN: ['2041-9031', '2041-904X']
DOI: https://doi.org/10.18280/ijsse.120305