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Performed comparison analysis between algorithms on the FakeNewsNet dataset in English and another dataset in the Hindi language to indicate the effectiveness of classification outcome. The Support Vector Machine classifier generated the greatest results out of the four.Patel, Shivangi...
The increased scholarly focus has been directed to fake news detection given their widespread impact on supply chain disruptions, 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 ...
3 other men, one in Spanish, one in Hindi and one in Mandarin. The software works by mapping the movements of their mouths whilst they speak. It thencorrelates this data to manipulate the selected languageto Matthews mouth, keeping his tone and characteristics the same as in his language. ...
Most of the previous literature has focused on finding fake news from resource-rich languages like English, Hindi, and Spanish. The current work utilizes the dataset of Urdu language for fake news detection. Two different models have been proposed in the paper. The first one is an ensemble-...
We compare Cross-SEAN with seven state-of-the-art fake news detection methods. We observe that it achieves 0.95 F1 Score on CTF, outperforming the best baseline by 9%. We also develop Chrome-SEAN, a Cross-SEAN based chrome extension for real-time detection of fake tweets....
adversaries’ could easily break it. Notably, another participant, Tarunima Prabhakar, co-founder of Tattle Civic Technologiessuggestedother methods like fingerprinting (adding provenance info to) deepfakes at the source to avoid future possibilities of deepfakes and AI bypassing technical detection. ...
However, the potential of powerful cross-modal contrastive learning methods for fake news detection has not been well exploited. Besides, how to aggregate features from different modalities to boost the performance of the decision-making process is still an open question. To address that, we ...
The proliferation of fake news on social media platforms poses significant challenges to society and individuals, leading to negative impacts. As the tactics employed by purveyors of fake news continue to evolve, there is an urgent need for automatic fake news detection (FND) to mitigate its adve...
\(\texttt {pic}\_\texttt {url}\): the URL for the visual information of the microblog; Users are allowed to attach no more than 18 images to each microblog. Such visual information has been recently developed for multimodal fake news detection (Zhou et al.2020b; Wang et al.2018; Jin...