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Titlebook: Indian Journalism and the Impact of Social Media; Dhiman Chattopadhyay Book 2022 The Editor(s) (if applicable) and The Author(s), under ex

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發(fā)表于 2025-3-21 16:47:18 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Indian Journalism and the Impact of Social Media
編輯Dhiman Chattopadhyay
視頻videohttp://file.papertrans.cn/464/463510/463510.mp4
概述Examines the impact of social media on Indian journalism.Provides a survey of nearly 300 journalists from 15 Indian cities.Offers unique insights into how new forces are influencing journalistic gatek
叢書名稱Palgrave Studies in Journalism and the Global South
圖書封面Titlebook: Indian Journalism and the Impact of Social Media;  Dhiman Chattopadhyay Book 2022 The Editor(s) (if applicable) and The Author(s), under ex
描述.This book is a pan-India study that examines social media’s impact on Indian journalism, highlights emerging challenges, and discusses the way forward for India’s newsrooms. A result of three years of field work, the project uses mixed-methods research – a survey of nearly 300 journalists from 15 Indian cities, followed by in-depth interviews with 25 senior editors – to analyze and explain journalists’ perceptions about social media’s usefulness and credibility, factors that influence their online news sourcing and sharing decisions, resultant challenges for newsrooms, and ways to address those challenges. The findings offer unique insights into how newer forces are influencing journalistic? practices?in an online-first era.? Key?differences emerge in perceptions between Indian journalists and their Western compatriots about who or what influence their actions. The findings also?raise?questions?about?Gatekeeping??as a term?to describe journalistic work?in 21st?Century India‘s newsrooms. The findings and the conclusions will hopefully help journalists, educators, and anyone interested in Indian journalism gain a deeper, more meaningful understanding about social media’s impact on I
出版日期Book 2022
關(guān)鍵詞online journalism; news conditioning; news conditioners; South Asia; Gatekeeping theory; Hierarchy of Inf
版次1
doihttps://doi.org/10.1007/978-3-031-07318-2
isbn_softcover978-3-031-07320-5
isbn_ebook978-3-031-07318-2Series ISSN 2662-480X Series E-ISSN 2662-4818
issn_series 2662-480X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Dhiman Chattopadhyayhen, our method attempts to aggregate similar spectra from the neighboring pixels of a target pixel. Consequently, this leads to better quality of both extracted endmembers and abundances. Extensive experiments performed on two real HSI benchmarks confirm the effectiveness of our proposed method com
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Dhiman Chattopadhyayng, and reusing knowledge. The paradigm includes KM-based Applications, KM Coordinator, and Runtime and Data Infrastructure. A VNU Digital Knowledge Hub (VNU-DKH) prototype promotes the vDFKM technique. Initial experimental findings show that VNU-DKH can model knowledge representation of learning re
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Dhiman Chattopadhyaytion like the topic of search, previous searches or supplementary parameters asked by the engine. This paper describes a different approach on text diversification, based on text semantics analysis and combined with clustering algorithms. The aim is to explore how similarities from the semantic poin
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Dhiman Chattopadhyaytion like the topic of search, previous searches or supplementary parameters asked by the engine. This paper describes a different approach on text diversification, based on text semantics analysis and combined with clustering algorithms. The aim is to explore how similarities from the semantic poin
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