Fake news is dramatically increased in social media in recent years. This has prompted the need for effective fake news detection algorithms. Capsule neural networks have been successful in computer vision and are receiving attention for use in Natural Language Processing (NLP). This paper aims to...
Chen, Li, Yin and Zhang (2018) added attentional mechanisms to recurrent neural networks (RNNs) to focus on different temporal-linguistic features with specific attention. The construction of deep learning models relies on plenty of labeled data, and the data acquisition of fake news has always ...
as was the case with the COVID-19 vaccine. Fake news and misinformation are highly disruptive, which create uncertainty and disruptions not only in society but also in business operations. Fake news and disinformation-related problems are exacerbated due to ...
Most fake faces made with deep learning are referred to as "de... J Atwan,M Wedyan,D Albashish,... - 《International Journal of Advanced Computer Science & Applications》 被引量: 0发表: 2024年 Fake news or real? Detecting deepfake videos using geometric facial structure and graph neural ...
The focus of the research carried out by Tariq and his colleagues was to detect both computer-generated and human-generated fake photos of faces using deep learning techniques. To do this, they developed a neural network classifier and trained it on a dataset of real and fake images. ...
Due to the financial gains associated with positive reviews, however, opinion spam has become a widespread problem, with often paid spam reviewers writing fake reviews to unjustly promote or demote certain products or businesses. Existing approaches to opinion spam have successfully but......
Deep- FakeDetection [2] (DFD) provides thousands of deepfake videos generated with consenting actors. DeepFake De- tection Challenge Preview [20] (DFDCP) and DeepFake Detection Challenge public test set [19] (DFDC), that are released along with the competition [3], contain a lot of ...
Javed MS, Majeed H, Mujtaba H, Beg MO (2021) Fake reviews classification using deep learning ensemble of shallow convolutions. J Comput Soc Sci 4(2):883–902 Article Google Scholar Johnson JM, Khoshgoftaar TM (2019) Medicare fraud detection using neural networks. J Big Data 6(63):1–...
Twitter social media has been emerging as one of the most admired channels for sharing news and opinions. A tweet once posted becomes noteworthy after it g
and in order to pass through the discriminator the generator comes up with better and better fake data this leads to the extraction of good features from the input data. The discriminator’s ability to learn such complex decision boundaries is attributed to the deep structure of the model. The...