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March 22, 2026International Journal of Autonomous and Adaptive Communications Systems0 citations

Cross-Modal Attention for Fake News Detection: Integrating Text and Image Features with Multi-Modal Fusion and Advanced Methods

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YJYamini Devi JonnalaJDJ. Sirisha Devi

Key Points

  • The aim is to develop an advanced method that detects fake news by integrating text and image features using cross-modal attention.
  • Utilized cross-modal attention techniques to assess text and image data.
  • Implemented multi-modal fusion to enhance feature integration.
  • Conducted comparative analyses of detection accuracy.
  • Demonstrated improved accuracy in fake news detection compared to traditional methods.
  • Showed effectiveness of combining text and images for better classification results.

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Cite This Study

Jonnala et al. (2026) studied this question.

synapsesocial.com/papers/69bf8692f665edcd009e8e00https://doi.org/10.1504/ijaacs.2026.10077164
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