research-article

Some Hands-on Approaches to Fake Political News Detection

Authors:

Feng-Jen YangAuthors Info & Claims

SPML '22: Proceedings of the 2022 5th International Conference on Signal Processing and Machine Learning

Pages 179 - 188

https://doi.org/10.1145/3556384.3556412

Published: 29 October 2022 Publication History

Abstract

There has been a recent growth in interest surrounding the identification of misinformation in online news, specifically in the case of political news. This task was previously human-based, one which has various amounts of efficacy and time commitment for teams of fact-checkers taking up to a week to check the veracity of a single statement. Given recent research and development in artificial intelligence, this is no longer the case. This research has led to a plethora of ideas and techniques to create an ideal fact-checking in an automatic manner, which autonomously discerns the veracity of a given statement quickly. A tool like this is a massive boon to teams of fact-checkers, helping them expedite the process and allowing any individual to check claims made online. This paper will explore various supervised machine learning approaches for this intended purpose and how they interact with numerical features extracted from a dataset of journalistic writing focusing on the efficacy and efficiency thereof.

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Cited By

Alohali M(2024)Examining the Effectiveness of Fact-Checking Tools on Social Media in Reducing the Spread of MisinformationInternational Journal of E-Adoption10.4018/IJEA.34794816:1(1-19)Online publication date: 17-Jul-2024
https://doi.org/10.4018/IJEA.347948
Upadhyay AKhandelwal KDhingra SPanda G(2024)Navigating the infodemic minefield: theorizing conversations in the digital sphereCogent Arts & Humanities10.1080/23311983.2024.230318911:1Online publication date: 25-Jan-2024
https://doi.org/10.1080/23311983.2024.2303189

Index Terms

Some Hands-on Approaches to Fake Political News Detection
1. Computing methodologies
  1. Machine learning
    1. Learning paradigms
      1. Supervised learning

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SPML '22: Proceedings of the 2022 5th International Conference on Signal Processing and Machine Learning

August 2022

309 pages

ISBN:9781450396912

DOI:10.1145/3556384

Copyright © 2022 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 29 October 2022

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SPML 2022

SPML 2022: 2022 5th International Conference on Signal Processing and Machine Learning

August 4 - 6, 2022

Dalian, China

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Cited By

Alohali M(2024)Examining the Effectiveness of Fact-Checking Tools on Social Media in Reducing the Spread of MisinformationInternational Journal of E-Adoption10.4018/IJEA.34794816:1(1-19)Online publication date: 17-Jul-2024
https://doi.org/10.4018/IJEA.347948
Upadhyay AKhandelwal KDhingra SPanda G(2024)Navigating the infodemic minefield: theorizing conversations in the digital sphereCogent Arts & Humanities10.1080/23311983.2024.230318911:1Online publication date: 25-Jan-2024
https://doi.org/10.1080/23311983.2024.2303189

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