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Titlebook: Combating Fake News with Computational Intelligence Techniques; Mohamed Lahby,Al-Sakib Khan Pathan,Wael Mohamed Sh Book 2022 The Editor(s)

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發(fā)表于 2025-3-28 15:12:56 | 只看該作者
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發(fā)表于 2025-3-28 22:19:56 | 只看該作者
Using Artificial Intelligence Against the Phenomenon of Fake News: A Systematic Literature Reviewws in various fields such as politics, sports, business, etc. and that these two tools have proven to be effective in classifying fake news. This study is intended to guide researchers as well as people involved in this field. It is believed that this study will help fill a gap in this field by pres
43#
發(fā)表于 2025-3-29 00:02:56 | 只看該作者
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發(fā)表于 2025-3-29 04:02:59 | 只看該作者
Fake News Detection Using Ensemble Learning and Machine Learning Algorithmsplored. The performance of the five classifiers was evaluated using the accuracy, the F1-Score, the recall, and the precision. The attained results are promising. The ensemble classifier trained using random forest algorithm and gradient boosting algorithm outperform the other classifiers and thus i
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發(fā)表于 2025-3-29 11:08:20 | 只看該作者
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發(fā)表于 2025-3-29 13:13:56 | 只看該作者
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發(fā)表于 2025-3-29 15:55:37 | 只看該作者
Detecting News Influence in?a?Country: One Step Forward Towards Understanding Fake Newsd similarities are tentatively pointed out. These results can be manually verified in order to determine which websites tend to draw inspiration from one another. The data gathered on every intermediate step can be queried and analyzed separately, and most notably we already use the set of hyperlink
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發(fā)表于 2025-3-29 21:53:56 | 只看該作者
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發(fā)表于 2025-3-30 01:25:57 | 只看該作者
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發(fā)表于 2025-3-30 07:37:18 | 只看該作者
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