Publication Date
1-1-2023
Document Type
Contribution to a Book
Publication Title
Deep Learning Research Applications for Natural Language Processing
Editor
L. Ashok Kumar, Dhanaraj Karthika Renuka, S. Geetha
DOI
10.4018/978-1-6684-6001-6.ch003
First Page
41
Last Page
56
Abstract
Despite the increased attention and substantial research into it claiming outstanding successes, the problem of misinformation containment has only been growing in the recent years with not many signs of respite. Misinformation is rapidly changing its latent characteristics and spreading vigorously in a multi-modal fashion, sometimes in a more damaging manner than viruses and other malicious programs on the internet. This chapter examines the existing research in natural language processing and machine learning to stop the spread of misinformation, analyzes why the research has not been practical enough to be incorporated into social media platforms, and provides future research directions. The state-of-the-art feature engineering, approaches, and algorithms used for the problem are expounded in the process.
Department
Applied Data Science
Recommended Citation
Vishnu S. Pendyala. "Misinformation Containment Using NLP and Machine Learning: Why the Problem Is Still Unsolved" Deep Learning Research Applications for Natural Language Processing (2023): 41-56. https://doi.org/10.4018/978-1-6684-6001-6.ch003
Comments
This is the Version of Record, and has been used with the permission of IGI Global, under their Fair Use Policy.