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Within and Beyond Stereotypes of Arab Women: A Corpus-based Approach to Jordanian Women’s Portrayal in English Digital News
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In: Journal of International Women's Studies (2022)
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Unsupervised quantification of entity consistency between photos and text in real-world news ...
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Müller-Budack, Eric. - : Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2022
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The news dataset for discriminating between Bosnian, Croatian and Serbian SETimes.HBS 1.0
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Context-Based Fake News Detection Model Relying on Deep Learning Models
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In: Electronics; Volume 11; Issue 8; Pages: 1255 (2022)
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Developing Resilience to Disinformation: A Game-Based Method for Future Communicators
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In: Sustainability; Volume 14; Issue 9; Pages: 5438 (2022)
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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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Abstract:
Public health interventions to counter the COVID-19 pandemic have accelerated and increased digital adoption and use of the Internet for sourcing health information. Unfortunately, there is evidence to suggest that it has also accelerated and increased the spread of false information relating to COVID-19. The consequences of misinformation, disinformation and misinterpretation of health information can interfere with attempts to curb the virus, delay or result in failure to seek or continue legitimate medical treatment and adherence to vaccination, as well as interfere with sound public health policy and attempts to disseminate public health messages. While there is a significant body of literature, datasets and tools to support countermeasures against the spread of false information online in resource-rich languages such as English and Chinese, there are few such resources to support Portuguese, and Brazilian Portuguese specifically. In this study, we explore the use of machine learning and deep learning techniques to identify fake news in online communications in the Brazilian Portuguese language relating to the COVID-19 pandemic. We build a dataset of 11,382 items comprising data from January 2020 to February 2021. Exploratory data analysis suggests that fake news about the COVID-19 vaccine was prevalent in Brazil, much of it related to government communications. To mitigate the adverse impact of fake news, we analyse the impact of machine learning to detect fake news based on stop words in communications. The results suggest that stop words improve the performance of the models when keeping them within the message. Random Forest was the machine learning model with the best results, achieving 97.91% of precision, while Bi-GRU was the best deep learning model with an F1 score of 94.03%.
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Keyword:
Brazilian Portuguese language; COVID-19; deep learning; exploratory data analysis; fake news; health misinformation; machine learning
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URL: https://doi.org/10.3390/bdcc6020036
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An Explainable Fake News Detector Based on Named Entity Recognition and Stance Classification Applied to COVID-19
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In: Information; Volume 13; Issue 3; Pages: 137 (2022)
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The Orientalist Semiotics of "Dune": Religious and Historical References within Frank Herbert's Universe
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Jacob, Frank. - : Büchner-Verlag, 2022. : DEU, 2022. : Marburg, 2022
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In: 117 (2022)
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Werbung und Identität im multikulturellen Raum: Der Werbediskurs in Luxemburg; ein kommunikationswissenschaftlicher Beitrag
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In: 18 ; Literalität und Liminalität ; 320 (2022)
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Das Spiel der Anderen: die Entwicklung der Berichterstattung zu Frauenfußball-Großturnieren seit der WM 2011 in Deutschland
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In: FZG - Freiburger Zeitschrift für GeschlechterStudien ; 22 ; 1 ; 49-63 (2022)
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"Geil dabei zu sein" - Livestreams als Kommunikationsmittel rechtsextremer Proteste
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In: ZRex - Zeitschrift für Rechtsextremismusforschung ; 2 ; 1 ; 72-90 (2022)
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Spanish Tipsters and the Millennial and Centennial Generations in the Scenario of a Pandemic
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In: Media and Communication ; 10 ; 1 ; 286-296 ; New Narratives for New Consumers: Influencers and the Millennial and Centennial Generations (2022)
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Issue Spatiality: A Conceptual Framework for the Role of Space in Public Discourses
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In: Media and Communication ; 9 ; 3 ; 5-15 ; Spaces, Places, and Geographies of Public Spheres (2022)
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Communication and Feminist New Materialism: Methodologies to understand the continuum between matter and discourse
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In: FZG - Freiburger Zeitschrift für GeschlechterStudien ; 24 ; 1 ; 55-70 ; Der Ort des Politischen in den Critical Feminist Materialisms (2022)
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Invective Gaze - Das digitale Bild und die Kultur der Beschämung
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In: 99 ; Edition Medienwissenschaft ; 206 (2022)
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The Engagement Imperative: Experiences of Communication Practitioners' Brand Work in the Music Industry
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In: Media and Communication ; 10 ; 1 ; 66-76 ; New Forms of Media Work and Its Organizational and Institutional Conditions (2022)
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Gegen die Öffentlichkeit: Alternative Nachrichtenmedien im deutschsprachigen Raum
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Schwaiger, Lisa. - : transcript Verlag, 2022. : DEU, 2022. : Bielefeld, 2022
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In: 46 ; Digitale Gesellschaft ; 327 (2022)
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