Bot or Human? Detection of DeepFake Text with Semantic, Emoji, Sentiment and Linguistic Features

Author:

Chong Alicia Tsui Ying1,Chua Hui Na1,Jasser Muhammed Basheer1,Wong Richard T.K.1

Affiliation:

1. Sunway University,Department of Computing and Information Systems,Sunway City,Selangor,Malaysia

Publisher

IEEE

Reference35 articles.

1. Language Models are Few-Shot Learners;brown;ArXiv,2020

2. Problem Understanding of Fake News Detection from a Data Mining Perspective

3. Release Strategies and the Social Impacts of Language Models;solaiman;ArXiv,2019

4. An Automated Topics Labelling Framework using Zero-Shot Text Classification;khan;Journal of Engineering Science and Technology Special Issue on ACSAT,0

5. Machine Generated Text: A Comprehensive Survey of Threat Models and Detection Methods;crothers;ArXiv,2022

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Literature Review of Notification Systems: Challenges and Opportunities for Fake News Alerts;2024 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS);2024-06-29

2. Performance Analysis of Deepfake Text Detection Techniques on Social-media;2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT);2024-03-15

3. Deepfake Characterization, Propagation, and Detection in Social Media - A Synthesis Review;2024 20th IEEE International Colloquium on Signal Processing & Its Applications (CSPA);2024-03-01

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