SpotFake: A Multi-modal Framework for Fake News Detection
Indian Institute of Technology Delhi · Indraprastha Institute of Information Technology Delhi
Abstract
A rapid growth in the amount of fake news on social media is a very serious concern in our society. It is usually created by manipulating images, text, audio, and videos. This indicates that there is a need of multimodal system for fake news detection. Though, there are multimodal fake news detection systems but they tend to solve the problem of fake news by considering an additional sub-task like event discriminator and finding correlations across the modalities. The results of fake news detection are heavily dependent on the subtask and in absence of subtask training, the performance of fake news detection degrade by 10% on an average. To solve this issue, we introduce SpotFake-a multi-modal framework for…
Citation impact
- FWCI
- 65.28
- Percentile
- 100%
- References
- 39
Authors
5- SSShivangi SinghalCorresponding
Indian Institute of Technology Delhi, Indraprastha Institute of Information Technology Delhi
- RRRajiv Ratn Shah
Indraprastha Institute of Information Technology Delhi, Indian Institute of Technology Delhi
- TCTanmoy Chakraborty
Indian Institute of Technology Delhi, Indraprastha Institute of Information Technology Delhi
- PKPonnurangam Kumaraguru
Indraprastha Institute of Information Technology Delhi, Indian Institute of Technology Delhi
- SSShin’ichi Satoh
Topics & keywords
- Computer science
- Discriminator
- Exploit
- Social media
- Fake news
- Modal
- Artificial intelligence
- Modalities
- Reduced inequalities