The developed model using Artificial Neural Network is a solution for the problem of fake news detection and filtered to avoid wide spread. The proposed model detects fake news that includes three main phases 'preprocessing, feature extraction and classification'. Initially input is preprocessed to ...
url={[PDF] Fake news detection based on a hybrid BERT and LightGBM models | Semantic Scholar} Proposed method Fig. 1 An overview of the proposed method BERT用于提取深层上下文的文本表示。 LightGBM利用这些表示来分类新闻是真实的还是虚假的。 Algorithm 1 The steps of the proposed method based on ...
Linguistic algorithms that analyze written speech are fairly common today, Mihalcea said. The challenge to building a fake news detector lies not in building the algorithm itself, but in finding the right data with which to train that algorithm. Fake news appears and disappears quickly, which make...
Section 7 presents methods for detecting and identifying fake news. Datasets for fake news detection and a proposed fake news detection algorithm were provided in Section 8, while Section 9 concludes the paper. 2. Overview of Fake News Detection Nowadays, the Internet is propelled by news and ...
the proposed idea uses the features of tweets to detect fake news. Experimental results show that the random forest algorithm gives best results with an accuracy equal to 79% and that the sentiment of tweets plays an important role in the detection of fake news. By applying the proposed model...
git clone https://github.com/hieunm44/fake-news-detection.git cd fake-news-detection Install necessary packages pip install -r requirements.txt Go to this Google Drive storage and download two files politifact.zip and gossipcop.zip, then unzip them to two folders data/politifact/raw and data...
LIME explanation algorithm was included in a separate package made available by the author on PyPi package manager. Results The data for the Bidirectional LSTM fake news detector The dataset used for this model comes from the competition hosted on the data science portal ’kaggle.com’. For the...
• PS (Porter Stemmer) was used to index each news page/article to filter out any stop, repeated, and common words to avoid noise in the dataset. The algorithm was used, over several rounds, to remove any non-relevant words from the datasets/textual scripts before considering all criteria...
Unveiling Veracity: An Integrated Semi-Supervised Algorithm for Fake News Detection 来自 IEEEXplore 喜欢 0 阅读量: 4 作者:A Malik,DK Behera,AR Swain,J Hota 摘要: In recent years, the pervasive dissemination of misinformation and deliberately falsified content, commonly referred to as “...
Ma, T., Zhou, H., Tian, Y., Al-Nabhan, N.: A novel rumor detection algorithm based on entity recognition, sentence reconfiguration, and ordinary differential equation network. Neurocomputing447, 224–234 (2021) ArticleGoogle Scholar