Datasets:
TTS News Dataset
This dataset is a collection of news statements and categories. It was originally created for the task of fake news detection but repurposed to create input for a TTS model.
Original Dataset
The original dataset is available at Kaggle.
About the Dataset
This IFND dataset covers news pertaining to India only. This dataset is created by scraping Indian fact checking websites. The dataset contains two types of news fake and real News. This dataset was collected from real-world sources.TThe truthful news and fake news were collected from different reliable fact-checking websites. The dataset contains different types of articles on different topics, however, the majority of news focus on political news.
References
If you use this dataset, as an agreement, please cite the following papers:
Sharma, D. K., & Garg, S. (2021). IFND: a benchmark dataset for fake news detection. Complex & Intelligent Systems, 1-21.
Garg, S., & Sharma, D. K. (2020, December). New Politifact: A Dataset for Counterfeit News. In 2020 9th International Conference System Modeling and Advancement in Research Trends (SMART) (pp. 17-22). IEEE.
Garg, S., & Sharma, D. K. (2020, December). Phony News Detection using Machine Learning and Deep-Learning Techniques. In 2020 9th International Conference System Modeling and Advancement in Research Trends (SMART) (pp. 27-32). IEEE.
Sharma, D. K., & Garg, S. (2021, July). Machine Learning Methods to identify Hindi Fake News within social-media. In 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1-6). IEEE.
Sharma, Sunidhi, and Dilip Kumar Sharma. "Fake News Detection: A long way to go." 2019 4th International Conference on Information Systems and Computer Networks (ISCON). IEEE, 2019.
Sharma, D.K., and Garg, S.”, A Framework for automatic fake content identification”, In IEEE Sponsored 1st International Conference” Simulation, Automation& Smart Manufacturing”, SASM 2021, held at GLA University, India.
- Downloads last month
- 10