Publication Date

1-1-2023

Document Type

Contribution to a Book

Department

Applied Data Science

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.

Comments

This is the Version of Record, and has been used with the permission of IGI Global, under their Fair Use Policy.

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