Advancing Fake News Detection: Hybrid Deep Learning With FastText and Explainable AI
Norwegian University of Science and Technology
Abstract
The widespread propagation of misinformation on social media platforms poses a significant concern, prompting substantial endeavors within the research community to develop robust detection solutions. Individuals often place unwavering trust in social networks, often without discerning the origins and authenticity of the information disseminated through these platforms. Hence, the identification of media-rich fake news necessitates an approach that adeptly leverages multimedia elements and effectively enhances detection accuracy. The ever-changing nature of cyberspace highlights the need for measures that may effectively resist the spread of media-rich fake news while protecting the integrity of information…
Citation impact
- FWCI
- 135.99
- Percentile
- 100%
- References
- 59
Authors
5- EHEhtesham HashmiCorresponding
Norwegian University of Science and Technology
- SYSule Yildirim Yayilgan
Norwegian University of Science and Technology
- MMMuhammad Mudassar Yamin
Norwegian University of Science and Technology
- SASubhan Ali
Norwegian University of Science and Technology
- MAMohamed Abomhara
Norwegian University of Science and Technology
Topics & keywords
- Computer science
- Deep learning
- Fake news
- Artificial intelligence
- Internet privacy