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Illusion of Truth: Analysing and Classifying COVID-19 Fake News in Brazilian Portuguese Language
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In: Big Data and Cognitive Computing; Volume 6; Issue 2; Pages: 36 (2022)
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| 2 |
Health TrueInfo: A multilingual Android app and social media approach in tackling COVID-19 vaccine misinformation and hesitancy in Bolivia, India, and Canada
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In: University of Toronto Journal of Public Health; Vol. 3 No. 1 (2022): Special Issue of Abstracts from Conferences ; 2563-1454 (2022)
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"Obama never said that": Evaluating fact-checks for topical consistency and quality
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| 4 |
Textual Characteristics of News Title and Body to Detect Fake News: A Reproducibility Study
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In: Computer Science Faculty Publications and Presentations (2021)
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How Do Language Intensity and Artificial Intelligence (AI) Affect Perceptions of Fact-checking Messages and Evaluations of Fact-checking Agencies?
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Xue, Haoning. - : eScholarship, University of California, 2021
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The mind’s meta-data: Cognitive mechanisms for monitoring the source and content of communication
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| 7 |
Looking for COVID-19 misinformation in multilingual social media texts
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In: 25th European Conference on Advances in Databases and Information Systems ; https://hal.archives-ouvertes.fr/hal-03314988 ; 25th European Conference on Advances in Databases and Information Systems, University of Tartu, Aug 2021, Tartu, Estonia. ⟨10.1007/978-3-030-85082-1⟩ ; https://adbis2021.cs.ut.ee (2021)
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Abstract:
International audience ; This paper presents the Multilingual COVID-19 Analysis Method (CMTA) for detecting and observing the spread of misinformation about this disease within texts. CMTA proposes a data science (DS) pipeline that applies machine learning models for processing, classifying (Dense-CNN) and analyzing (MBERT) multilingual (micro)-texts. DS pipeline data preparation tasks extract features from multilingual textual data and categorize it into specific information classes (i.e., 'false', 'partly false', 'misleading'). The CMTA pipeline has been experimented with multilingual micro-texts (tweets), showing misinformation spread across different languages. To assess the performance of CMTA and put it in perspective, we performed a comparative analysis of CMTA with eight monolingual models used for detecting misinformation. The comparison shows that CMTA has surpassed various monolingual models and suggests that it can be used as a general method for detecting misinformation in multilingual micro-texts. CMTA experimental results show misinformation trends about COVID-19 in different languages during the first pandemic months.
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Keyword:
[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]; data exploration; data science; machine learning; misinformation; natural language processing
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URL: https://hal.archives-ouvertes.fr/hal-03314988/document
https://hal.archives-ouvertes.fr/hal-03314988/file/CMTA_ADBIS2021.pdf
https://doi.org/10.1007/978-3-030-85082-1
https://hal.archives-ouvertes.fr/hal-03314988
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| 11 |
MM-COVID: A Multilingual and Multimodal Data Repository for Combating COVID-19 Disinformation ...
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MM-COVID: A Multilingual and Multimodal Data Repository for Combating COVID-19 Disinformation ...
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| 13 |
Cultural Variance in Reception and Interpretation of Social Media COVID-19 Disinformation in French-Speaking Regions
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In: International Journal of Environmental Research and Public Health; Volume 18; Issue 23; Pages: 12624 (2021)
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| 14 |
Combat COVID-19 Infodemic Using Explainable Natural Language Processing Models
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| 15 |
Four years of fake news: A quantitative analysis of the scientific literature
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In: First Monday; Volume 26, Number 6 - 7 June 2021 ; 1396-0466 (2021)
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| 16 |
College students’ fake news discernment: Critical thinking, locus of control, need for cognition, and the ability to discern fact from opinion
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| 17 |
Persuasion Strategies in Misinformation-containing Weibo Posts
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| 18 |
The IMPED Model: Detecting Low-Quality Information in Social Media ; The IMPED Model of Information Quality
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| 19 |
Seguimiento informativo y percepción del riesgo ante la Covid-19 en España
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In: Comunicar: Revista científica iberoamericana de comunicación y educación, ISSN 1134-3478, Nº 66, 2021, pags. 71-81 (2021)
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Participación ciudadana en Twitter: Polémicas anti-vacunas en tiempos de COVID-19
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In: Comunicar: Revista científica iberoamericana de comunicación y educación, ISSN 1134-3478, Nº 69, 2021 (Ejemplar dedicado a: Participación ciudadana en la esfera digital), pags. 21-31 (2021)
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