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Titlebook: Social Computing and Social Media. Human Behavior; 9th International Co Gabriele Meiselwitz Conference proceedings 2017 Springer Internatio

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書(shū)目名稱(chēng)Social Computing and Social Media. Human Behavior
副標(biāo)題9th International Co
編輯Gabriele Meiselwitz
視頻videohttp://file.papertrans.cn/870/869365/869365.mp4
概述Includes supplementary material: .Includes supplementary material:
叢書(shū)名稱(chēng)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Social Computing and Social Media. Human Behavior; 9th International Co Gabriele Meiselwitz Conference proceedings 2017 Springer Internatio
描述This book constitutes the proceedings of the 9th International Conference on Social Computing and Social Media, SCSM 2017, held as part of the 19th International Conference on Human-Computer Interaction, HCII 2017, held in Vancouver, Canada, in July 2017. HCII 2017 received a total of 4340 submissions, of which 1228 papers were accepted for publication after a careful reviewing process. The papers thoroughly cover the entire field of Human-Computer Interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas..The two volumes set of SCSM 2017 presents 67 papers which are organized in the following topical sections: user experience and behavior in social media, costumer behavior and social media, social issues in social media, social media for communication, learning and aging, opinion mining and sentiment analysis, social data and analytics..
出版日期Conference proceedings 2017
關(guān)鍵詞communication management; heuristic evaluation; decision-making; higher education; human centered design
版次1
doihttps://doi.org/10.1007/978-3-319-58559-8
isbn_softcover978-3-319-58558-1
isbn_ebook978-3-319-58559-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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Online Travel Agencies as Social Media: Analyzing Customers’ Opinions. Their quantitative and qualitative reviews offer valuable information for other potential travelers. The paper analyzes customers’ (quantitative) opinions extracted from . in February 2016, before the website was closed. Data relationships and trends are identified and interpreted as Customer eXperience outcomes.
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https://doi.org/10.1007/978-3-319-58559-8communication management; heuristic evaluation; decision-making; higher education; human centered design
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Investigating Arab DHH Usage of YouTube Videos Using Latent Variables in an Acceptance Technology Moople are not sufficiently motivated to watch YouTube due to the fact that the YouTube time-span is fast and DHH personnel prefer greater time to allow them to read and understand the contents. Hence, DHH people tend to avoid sharing YouTube videos among their contacts.
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