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Titlebook: Vaccine Communication Online; Counteracting Misinf Tamar Ginossar,Sayyed Fawad Ali Shah,David Weiss Book 2023 The Editor(s) (if applicable)

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發(fā)表于 2025-3-21 17:02:54 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Vaccine Communication Online
副標(biāo)題Counteracting Misinf
編輯Tamar Ginossar,Sayyed Fawad Ali Shah,David Weiss
視頻videohttp://file.papertrans.cn/981/980184/980184.mp4
概述Addresses vaccine misinformation from a truly global perspective, thanks to contributors from around the world.Discusses alternative approaches to responding to misinformation and disinformation.Conte
圖書封面Titlebook: Vaccine Communication Online; Counteracting Misinf Tamar Ginossar,Sayyed Fawad Ali Shah,David Weiss Book 2023 The Editor(s) (if applicable)
描述Communication about vaccination has become a public battleground. The global adoption of social media has increased the visibility and influence of groups that were previously considered fringe. With the goal of understanding vaccination-related misinformation’s online spread and ways of effectively countering it, this book explores its reception, resistance, and reproduction by a range of stakeholders around the globe.? Chapters cover a rich array of topics, including vaccine misinformation’s history, its use as political propaganda, and its manipulation by both pro- and anti-vaccine groups. They apply a wide range of research methods, including historical literature and scoping reviews; advanced computational analysis, including machine learning; and reviews that incorporate the authors’ personal, professional, and practice-based experiences. Chapter authors include leading US and international scholars as well as practitioners of Communication, Computer Science, Health and Science Education, Political Communication, Public Health, Sociology, and other fields, making this book the most comprehensive and diverse collection of studies on vaccine misinformation—online and offline—cu
出版日期Book 2023
關(guān)鍵詞anti-vaxxers; infodemic; vaccine disinformation; Covid-19; vaccine hesitancy
版次1
doihttps://doi.org/10.1007/978-3-031-24490-2
isbn_softcover978-3-031-24492-6
isbn_ebook978-3-031-24490-2
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Switzerl
The information of publication is updating

書目名稱Vaccine Communication Online影響因子(影響力)




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書目名稱Vaccine Communication Online網(wǎng)絡(luò)公開度學(xué)科排名




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書目名稱Vaccine Communication Online被引頻次學(xué)科排名




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Janice T. Blane,Lynnette Hui Xian Ng,Kathleen M. Carleybasic representation scheme for the different information and object classes used for planning and programming facilitates the common share of information. In this paper the use of the NF. data model is discussed to build manufacturing cell models, to construct product assembly plan information and
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Itai Himelboim,Jeonghyun Janice Lee,Michael A. Cacciatore,Sungsu Kim,Diane Krause,Kate Miller-Bains,d flexible enough to accommodate present as well as expected future developments. 1.1.1 IGES The initial development of concepts for CAD data exchange is strongly influenced by the US Integrated Computer Aided Manufacturing (ICAM) programme, that dealt with the development of methods for data exchange. In Sep978-3-540-51826-6978-3-642-83997-9
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Erez S. Garty,Noa Hirsch-Choritz,Keren Landsman,Uri Lerner,Itamar M. Netzer,Aviv J. Sharonnce and. .Efficiency. is designed to be anon-intimidating companion for CAD professionals and related staff..Distinctive features: . . thoroughly illustrated todemonstrate key concepts .. describes a sample day in the life ofa CAD manager .. features CAD training and orientation programsfor differen
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發(fā)表于 2025-3-22 13:35:49 | 只看該作者
Tamar Ginossar,Sayyed Fawad Ali Shah,David Weissded. Some design operations should continue to be performed by the designer, while others are best performed by the computer. The dynamic allocation of tasks between the designer and the computer will enable a more flexible approach to design computability, particularly in responding to changing req
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Analyzing Social-Cyber Maneuvers for Spreading COVID-19 Pro- and Anti- Vaccine Information,ter. Using a corpus of COVID-19 tweets, we identify the key players and communities spreading the pro-vaccine- and anti-vaccine-related messages and their beliefs. We then analyze the labeled messages to determine how messages influence targets and impact the overall network using a novel influence
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