Emotion-Aware Fake News Detection on Social Media with BERT Embeddings

Al-Alshaqi, Mohammed; Rawat, Danda B.; Liu, Chunmei

doi:10.1109/icmeralda60125.2023.10458214

2023 International Conference on Modeling &Amp;amp; E-Information Research, Artificial Learning and Digital Applications (ICMER 2023

DOI: 10.1109/icmeralda60125.2023.10458214

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Emotion-Aware Fake News Detection on Social Media with BERT Embeddings

Mohammed Al-Alshaqi,

Danda B. Rawat,

Chunmei Liu

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2024

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Cited by 1 publication

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Ensemble Techniques for Robust Fake News Detection: Integrating Transformers, Natural Language Processing, and Machine Learning

Al-alshaqi,

Rawat,

Liu

2024

Sensors

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The proliferation of fake news across multiple modalities has emerged as a critical challenge in the modern information landscape, necessitating advanced detection methods. This study proposes a comprehensive framework for fake news detection integrating text, images, and videos using machine learning and deep learning techniques. The research employs a dual-phased methodology, first analyzing textual data using various classifiers, then developing a multimodal approach combining BERT for text analysis and a modified CNN for visual data. Experiments on the ISOT fake news dataset and MediaEval 2016 image verification corpus demonstrate the effectiveness of the proposed models. For textual data, the Random Forest classifier achieved 99% accuracy, outperforming other algorithms. The multimodal approach showed superior performance compared to baseline models, with a 3.1% accuracy improvement over existing multimodal techniques. This research contributes to the ongoing efforts to combat misinformation by providing a robust, adaptable framework for detecting fake news across different media formats, addressing the complexities of modern information dissemination and manipulation.

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Ensemble Techniques for Robust Fake News Detection: Integrating Transformers, Natural Language Processing, and Machine Learning

Al-alshaqi,

Rawat,

Liu

2024

Sensors

View full text Add to dashboard Cite

show abstract

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Emotion-Aware Fake News Detection on Social Media with BERT Embeddings

Cited by 1 publication

References 44 publications

Ensemble Techniques for Robust Fake News Detection: Integrating Transformers, Natural Language Processing, and Machine Learning

Ensemble Techniques for Robust Fake News Detection: Integrating Transformers, Natural Language Processing, and Machine Learning

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