Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
In the era of Technology & Information, with rapid grow in number of social media platforms & user’s using them, the information which is being produced to each & every user is very important and sensitive as it can lead to various serious consequences. Misinformation is spread intentionally to disturb the harmony and peace also they hide their anonymity which gives them the advantage to do it on large scale. Our model contrasts from other models in-terms of imbalanced data which leads to skewed class proportions creating uneven curve distribution as well as offers a news classification on various domains such as Politics, Sports, Entertainment, Business, Health, etc. “Fake news can imply things like- a mistake, intentional misleading, twisting a new story, or a complete lie”, also panic which was created during the Covid-19 pandemic is not less. Hence our project aims to focus on identifying fake news using the fake news detector so that people who want to have a reality check on specific news of any related topic can verify and get to know whether the information spreading is true or false.”
Keywords:
Fake News Detection, Deep Learning Model, Machine Learning, Traditional Machine Learning, LSTM (Long Short-Term Memory), Computational Efficiency, Generalization, Text Classification, Natural Language Processing, Feature Engineering, Data Preprocessing, Hybrid Model, Text Mining
Cite Article:
"News-On-Clix: Enrich Multi-Category News Aggregation with Fake News Detector to Curb Spreading of Misinformation", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 11, page no.210 - 216, November-2023, Available :http://www.ijrti.org/papers/IJRTI2311029.pdf
Downloads:
000205161
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator