阿拉伯语假新闻检测的预测建模:利用语言模型嵌入和堆叠集合

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Muhammad Umer, Arwa A. Jamjoom, Shtwai Alsubai, Aisha Ahmed AlArfaj, E. Alabdulqader, I. Ashraf
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引用次数: 0

摘要

假新闻的泛滥对信息的完整性构成了巨大威胁,因此需要强有力的检测机制。本研究推进了阿拉伯语假新闻检测的研究,克服了假新闻检测准确率较低的局限。本研究利用单词嵌入和强大的堆叠分类器来检测阿拉伯语假新闻。所提出的模型结合了袋式分类器、提升分类器和基线分类器,利用每种分类器的优势创建了一个强大的组合。为评估所提出的方法,我们进行了广泛的实验,结果表明该方法效果显著,召回率、F1 分数、准确率和精确率均达到 99%。先进的堆叠技术与适当的文本特征提取相结合,使该模型能够有效地检测阿拉伯语假新闻。研究结果为假新闻检测,尤其是阿拉伯语假新闻检测做出了宝贵贡献,为提高信息真实性和促进更知情的公共讨论提供了宝贵工具。此外,还将所提出模型的准确性与现有文献中的其他前沿模型进行了比较,以展示其卓越的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predictive Modeling for Arabic Fake News Detection: Leveraging Language Model Embeddings and Stacked Ensemble
The proliferation of fake news poses a substantial threat to information integrity, prompting the need for robust detection mechanisms. This study advances the research on Arabic fake news detection and overcomes the limitation of lower accuracy for fake news detection. This research addresses Arabic fake news detection using word embedding and a powerful stacking classifier. The proposed model combines bagging, boosting, and baseline classifiers, harnessing the strengths of each to create a robust ensemble. Extensive experiments are carried out to evaluate the proposed approach indicating remarkable results, with recall, F1 score, accuracy, and precision reaching 99%. The utilization of advanced stacking techniques, coupled with appropriate textual feature extraction, empowers the model to effectively detect Arabic fake news. Study results make a valuable contribution to fake news detection, particularly in the Arabic context, providing a valuable tool for enhancing information veracity and fostering a more informed public discourse. Furthermore, the proposed model’s accuracy is compared with other cutting-edge models from the existing literature to showcase its superior performance.
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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