An advanced Arabic fake news detection model using LSTM and AraBERT. This project leverages the Arabic Fake News Dataset (AFND) to classify news articles as credible, not credible, or undecided. Includes preprocessing steps, model building, and evaluation using TensorFlow. nlp deep-learning text-...
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https://github.com/MarionMeyers/fake_news_detection_propagation. 2. www.politifact.com. 3. www.snopes.com. References Cangea, C., Veličković, P., Jovanović, N., Kipf, T., Liò, P.: Towards sparse hierarchical graph classifiers. arXiv preprint arXiv:1811.01287 (2018) Castillo, C...
Additionally, the algorithm can also be used for detecting fake news in novel topics. Another technique to tackle the deep learning “black-box problem” in fake news detection is CSI (capture, score and integrate) – a three-step system which incorporates the three basic characteristics of ...
The dynamics and influence of fake news on Twitter during the 2016 US presidential election remains to be clarified. Here, we use a dataset of 171 million tweets in the five months preceding the election day to identify 30 million tweets, from 2.2 millio
Thesource codeis hosted on GitHub. Clone the project with $ git clone git@github.com:seamapi/fake-seam-connect.git Requirements You will needNode.jswithnpmand aNode.js debuggingclient. Be sure that all commands run under the correct Node version, e.g., if usingnvm, install the correct ve...
RQ3Fake review detection examines how well supervised machine learning algorithms can detect fake reviews. We focus on the following questions: 1. Features: Which machine learning features can be used to automatically detect fake reviews? 2. Classification: Which machine learning algorithms perform be...
fake news;detection;dataset;social networks 1. Introduction With the rapid development of network technology and the widespread application of social networks, platforms such as Facebook, Twitter, YouTube, Weibo and Zhihu (the last two are based in China) have become important sources and main ven...
fake review detection;Google Maps;natural language processing;Polish language;machine learning;random forest 1. Introduction Fake information has become an enormous problem in recent years. It is very easy to fabricate information posted on the Internet, and there are many incentives to do so. Fake...
NLPCC2019 - User-Characteristic Enhanced Model for Fake News Detection in Social Media,程序员大本营,技术文章内容聚合第一站。