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Ashima Yadav

Biographic Data

ID3925634
NAMEAshima Yadav
GIVEN NAMESAshima
FAMILY NAMEYadav
SIGNATUREYADAV A
AFFILIATIONSBennett University
ORCID0000-0002-1467-1601
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS2
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2024
H-INDEX1
  • Etma: Efficient Transformer-Based Multilevel Attention Framework for Multimodal Fake News Detection

    Open Access•Ashima Yadav, Shivani Gaba et al.•ARTICLE•IEEE Transactions on Computational…•2024

    In this new digital era, social media has created a severe impact on the lives of people. In recent times, fake news content on social media has become one of the major challenging problems for society. The dissemination of fabricated and false news articles includes multimodal data in the form of text and images. The previous methods have mainly focused on unimodal analysis. Moreover, for multimodal analysis, researchers fail to keep the unique …

  • A framework of fake news detection on web platform using ConvNet

    Open Access•Dinesh Kumar Vishwakarma, Priyanka Meel et al.•ARTICLE•Social Network Analysis and Mining•2023•Cited by: 2•References: 45

  • A framework of fake news detection on web platform using ConvNet

    Open Access•Dinesh Kumar Vishwakarma, Priyanka Meel et al.•ARTICLE•Social Network Analysis and Mining•2023•Cited by: 2•References: 45

  • A framework of fake news detection on web platform using ConvNet

    Open Access•Dinesh Kumar Vishwakarma, Priyanka Meel et al.•ARTICLE•Social Network Analysis and Mining•2023•Cited by: 2•References: 45

  • Etma: Efficient Transformer-Based Multilevel Attention Framework for Multimodal Fake News Detection

    Open Access•Ashima Yadav, Shivani Gaba et al.•ARTICLE•IEEE Transactions on Computational…•2024

    In this new digital era, social media has created a severe impact on the lives of people. In recent times, fake news content on social media has become one of the major challenging problems for society. The dissemination of fabricated and false news articles includes multimodal data in the form of text and images. The previous methods have mainly focused on unimodal analysis. Moreover, for multimodal analysis, researchers fail to keep the unique …

Artificial Intelligence (2 works) · Computer Science (2 works) · Machine learning (2 works) · Misinformation and Its Impacts (2 works) · Social media (2 works) · Spam and Phishing Detection (2 works) · World Wide Web (2 works) · Advanced Malware Detection Techniques (1 works) · Computer security (1 works) · Convolutional neural network (1 works)

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