COVID19: Mask Misinformation and Social Noise

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Disinformation and misinformation are pervasive in unregulated social-media environments, which are used habitually for obtaining news. Fenn et al in 2019 stated that “Given that people tend to share interesting information to maintain social relationships or to manage their impressions, information that receives more likes may subsequently be shared more often” (Fenn, Ramsay, Kantner, Pezdek, & Abed, 2019, p.133) Recent studies also revealed that misinformation from politicians and celebrities has increased in recent years which lead to more engagement on Twitter (Brennen, et al. 2020 ). There has been a lot of misinformation pertaining to COVID-19 masks on Twitter. Due … continued below

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5 p.

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Alsaid, Manar; Madali, Nayana Pampapura; Zimmerman, Tara & Hawamdeh, Suliman M. December 2020.

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This paper is part of the collection entitled: International Conference on Knowledge Management (ICKM) and was provided by the UNT College of Information to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 156 times, with 4 in the last month. More information about this paper can be viewed below.

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Situated at the intersection of people, technology, and information, the College of Information's faculty, staff and students invest in innovative research, collaborative partnerships, and student-centered education to serve a global information society. The college offers programs of study in information science, learning technologies, and linguistics.

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Disinformation and misinformation are pervasive in unregulated social-media environments, which are used habitually for obtaining news. Fenn et al in 2019 stated that “Given that people tend to share interesting information to maintain social relationships or to manage their impressions, information that receives more likes may subsequently be shared more often” (Fenn, Ramsay, Kantner, Pezdek, & Abed, 2019, p.133) Recent studies also revealed that misinformation from politicians and celebrities has increased in recent years which lead to more engagement on Twitter (Brennen, et al. 2020 ). There has been a lot of misinformation pertaining to COVID-19 masks on Twitter. Due to the misinformation, many people might not believe in the effectiveness of masks. Even though studies have shown the effectiveness of wearing masks in different countries (Lyu and Wehby, 2020). Not wearing masks affects people's health and indirectly increases the spread of COVID-19. Studies of social noise and misinformation cases on social media are needed, specifically focusing on how social noise influences and contributes to the spread of misleading and possibly harmful messages.

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5 p.

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The International Conference on Knowledge Management (ICKM) provides researchers and practitioners from all over the world a forum for discussion and exchange of ideas concerning theoretical and practical aspects of Knowledge Management. ICKM 2020 held December 3-5 as a virtual meeting using Cisco WebEx (technical support from NC Central University, Durham, NC) and hosted by the Knowledge and Information Professional Association (KIPA). The conference theme is “Knowledge Commons in the City of Medicine,” covering the institutional analysis of data and the development of knowledge sharing in any subject area.

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  • 16th International Conference on Knowledge Management (ICKM-2020), December 3-5, 2020. Virtual meeting using Cisco WebEx (technical support from NC Central University), Durham, NC, United States

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International Conference on Knowledge Management (ICKM)

Serving as digital proceedings, this collection includes papers, posters, and slides from invited talks as well as practitioner and sponsor presentations for the annual International Conference on Knowledge Management (ICKM).

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  • December 2020

Added to The UNT Digital Library

  • June 15, 2021, 12:14 p.m.

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  • Nov. 10, 2023, 2:39 p.m.

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Alsaid, Manar; Madali, Nayana Pampapura; Zimmerman, Tara & Hawamdeh, Suliman M. COVID19: Mask Misinformation and Social Noise, paper, December 2020; (https://digital.library.unt.edu/ark:/67531/metadc1813454/: accessed June 23, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT College of Information.

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