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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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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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Abstract:
Over the last few years, the phenomenon of fake news has become an important issue, especially during the worldwide COVID-19 pandemic, and also a serious risk for the public health. Due to the huge amount of information that is produced by the social media such as Facebook and Twitter it is becoming difficult to check the produced contents manually. This study proposes an automatic fake news detection system that supports or disproves the dubious claims while returning a set of documents from verified sources. The system is composed of multiple modules and it makes use of different techniques from machine learning, deep learning and natural language processing. Such techniques are used for the selection of relevant documents, to find among those, the ones that are similar to the tested claim and their stances. The proposed system will be used to check medical news and, in particular, the trustworthiness of posts related to the COVID-19 pandemic, vaccine and cure.
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Keyword:
CNN; COVID-19; explainable artificial intelligence; fake news; named entity recognition; natural language processing; vaccines
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URL: https://doi.org/10.3390/info13030137
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11 |
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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