(2023). Fake News Detection Using Machine Learning. In: Senjyu, T., So–In, C., Joshi, A. (eds) Smart Trends in Computing and Communications. SMART 2023. Lecture Notes in Networks and Systems, vol 645. Springer, Singapore. https://doi.org/10.1007/978-981-99-0769-4_41 Download ...
In this work, we propose a fake news detection system using machine learning techniques. We used the term Frequency-Inverse Document Frequency (TF-IDF) from Bag of Words and N-Grams as the feature extraction method, and Support Vector Machine (SVM) as the classifier. We also propose fa...
Fake News Detection Using Machine Learning Classification Algorithms In the context of Indian politics in particular, the proliferation of fake news poses a serious threat to the reliability of news and information. To comba... C Ramasubramanian,T Babu,RR Nair,... - International Conference on ...
False information or fake news has the potential to mislead the public, damage the social order, undermine government legitimacy, and pose a major threat to societal stability. Fake news is not new, but the spread of fake news is only accelerated to a wider audience through social media causin...
Fake News Detection(虚假新闻检测)是在NLP(自然语言处理)领域相当热门的一个话题,无论是用传统Machine Learning 方法去分类true or false,还是用Deep learning 模型学习latent features 或是 language representations,都离不开对fake news本身的研究。 因此作为这个系列的第一篇文章,我先做了一个整体的框架表述。对于...
[20] “Can machines learn to detect fake news? A survey focused on social media” Social level [13] “Fake news detection in low-resourced languages “Kurdish language” using machine learning algorithms” User-level [3] “Mapping the scholarship of fake news research: a systematic review” ...
We have presented a Fake News Detection Tool (FNDT) using various Natural Language Processing and Machine Learning techniques. Our proposed tool is based on feature selection approaches: Bag of Words and TF-IDF. We have investigated and compared the performance of different classification algorithms ...
A Survey on COVID-19 related Fake News Detection using Machine Learning Models Uncensored data explosion on social media platforms has on the one hand impelled fast and easy dissemination of news and facts, but at the same time poses ... R Dar,R Hashmy 被引量: 0发表: 2023年 Towards CO...
(AI) and machine learning (ML) oriented FNaD detection models suited to minimize supply chain disruptions (SCDs). Using a combination of AI and ML, and case studies based on data collected from Indonesia, Malaysia, and Pakistan, we developed a FNaD detection model aimed at preventing SCDs. ...
nlp machine-learning lstm-model cnn-model bert-model fake-news-detection Updated Nov 1, 2024 Python ICTMCG / GenFEND Star 14 Code Issues Pull requests Let Silence Speak: Enhancing Fake News Detection with Generated Comments from Large Language Models, CIKM 2024. data-generation fake-news-...