research-article

Analysis of the Subjectivity Level in Fake News Fragments

Authors:

Lucas Lima Vieira,

Caio Libanio Melo Jeronimo,

Claudio E. C. Campelo,

Leandro Balby MarinhoAuthors Info & Claims

WebMedia '20: Proceedings of the Brazilian Symposium on Multimedia and the Web

Pages 233 - 240

https://doi.org/10.1145/3428658.3430978

Published: 30 November 2020 Publication History

Abstract

The widespread of fake news is increasingly worrying society and demanding approaches for mitigation. Although many approaches have been proposed to fake news detection, there is still a lack of works that deeply investigate their structure. Our study has been motivated by two findings discussed in existing works: the first is the fact that fake news usually mix real and fake information to mislead readers; the second is that subjective language is a resource commonly exploited by fake news producers. Therefore, to better understand how fake news is structured, we perform an analysis on the way the subjective language is exploited in different situations inside the fake news documents. For this, we built a dataset by manually identifying fake parts of news articles, and we also propose tags to categorize the fragments in documents. The proposed tags categorize the fake news fragments according to their kind of falsehood in document. To reveal subjectivity nuances within the fragments, we use the Word Movers Distance and a set of subjectivity lexicons in the Portuguese language. Our results indicate that the fragmentation of news allows the identification of subjectivity markers that cannot be identified when considering the entire documents.

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Cited By

Barrón-Cedeño AAlam FStruß JNakov PChakraborty TElsayed TPrzybyła PCaselli TDa San Martino GHaouari FHasanain MLi CPiskorski JRuggeri FSong XSuwaileh R(2024)Overview of the CLEF-2024 CheckThat! Lab: Check-Worthiness, Subjectivity, Persuasion, Roles, Authorities, and Adversarial RobustnessExperimental IR Meets Multilinguality, Multimodality, and Interaction10.1007/978-3-031-71908-0_2(28-52)Online publication date: 19-Sep-2024
https://doi.org/10.1007/978-3-031-71908-0_2
Barrón-Cedeño AAlam FChakraborty TElsayed TNakov PPrzybyła PStruß JHaouari FHasanain MRuggeri FSong XSuwaileh R(2024)The CLEF-2024 CheckThat! Lab: Check-Worthiness, Subjectivity, Persuasion, Roles, Authorities, and Adversarial RobustnessAdvances in Information Retrieval10.1007/978-3-031-56069-9_62(449-458)Online publication date: 23-Mar-2024
https://doi.org/10.1007/978-3-031-56069-9_62
Marche CCabiddu ICastangia CSerreli LNitti M(2023)Implementation of a Multi-Approach Fake News Detector and of a Trust Management Model for News SourcesIEEE Transactions on Services Computing10.1109/TSC.2023.331162916:6(4288-4301)Online publication date: Nov-2023
https://doi.org/10.1109/TSC.2023.3311629
Show More Cited By

Index Terms

Analysis of the Subjectivity Level in Fake News Fragments
1. Applied computing
  1. Document management and text processing
    1. Document capture
      1. Document analysis
    2. Document preparation
      1. Annotation

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cover image ACM Conferences

WebMedia '20: Proceedings of the Brazilian Symposium on Multimedia and the Web

November 2020

364 pages

ISBN:9781450381963

DOI:10.1145/3428658

General Chair:
Carlos de Salles Soares Neto
UFMA

Copyright © 2020 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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SBC: Brazilian Computer Society
CNPq: Conselho Nacional de Desenvolvimento Cientifico e Tecn
CGIBR: Comite Gestor da Internet no Brazil
CAPES: Brazilian Higher Education Funding Council

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 November 2020

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WebMedia '20

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WebMedia '20: Brazillian Symposium on Multimedia and the Web

November 30 - December 4, 2020

São Luís, Brazil

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WebMedia '20 Paper Acceptance Rate 34 of 87 submissions, 39%;

Overall Acceptance Rate 270 of 873 submissions, 31%

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Cited By

Barrón-Cedeño AAlam FStruß JNakov PChakraborty TElsayed TPrzybyła PCaselli TDa San Martino GHaouari FHasanain MLi CPiskorski JRuggeri FSong XSuwaileh R(2024)Overview of the CLEF-2024 CheckThat! Lab: Check-Worthiness, Subjectivity, Persuasion, Roles, Authorities, and Adversarial RobustnessExperimental IR Meets Multilinguality, Multimodality, and Interaction10.1007/978-3-031-71908-0_2(28-52)Online publication date: 19-Sep-2024
https://doi.org/10.1007/978-3-031-71908-0_2
Barrón-Cedeño AAlam FChakraborty TElsayed TNakov PPrzybyła PStruß JHaouari FHasanain MRuggeri FSong XSuwaileh R(2024)The CLEF-2024 CheckThat! Lab: Check-Worthiness, Subjectivity, Persuasion, Roles, Authorities, and Adversarial RobustnessAdvances in Information Retrieval10.1007/978-3-031-56069-9_62(449-458)Online publication date: 23-Mar-2024
https://doi.org/10.1007/978-3-031-56069-9_62
Marche CCabiddu ICastangia CSerreli LNitti M(2023)Implementation of a Multi-Approach Fake News Detector and of a Trust Management Model for News SourcesIEEE Transactions on Services Computing10.1109/TSC.2023.331162916:6(4288-4301)Online publication date: Nov-2023
https://doi.org/10.1109/TSC.2023.3311629
Barrón-Cedeño AAlam FCaselli TDa San Martino GElsayed TGalassi AHaouari FRuggeri FStruß JNandi RCheema GAzizov DNakov P(2023)The CLEF-2023 CheckThat! Lab: Checkworthiness, Subjectivity, Political Bias, Factuality, and AuthorityAdvances in Information Retrieval10.1007/978-3-031-28241-6_59(506-517)Online publication date: 16-Mar-2023
https://doi.org/10.1007/978-3-031-28241-6_59
Chen YChen YYang KLai FHuang CChen YTu Y(2022)The Prevalence and Impact of Fake News on COVID-19 Vaccination in Taiwan: Retrospective Study of Digital MediaJournal of Medical Internet Research10.2196/3683024:4(e36830)Online publication date: 26-Apr-2022
https://doi.org/10.2196/36830
Kasnesis PToumanidis LPatrikakis C(2021)Combating Fake News with Transformers: A Comparative Analysis of Stance Detection and Subjectivity AnalysisInformation10.3390/info1210040912:10(409)Online publication date: 3-Oct-2021
https://doi.org/10.3390/info12100409

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