Engajamento informacional nas redes sociais: como calcular?

IF 0.4 Q4 INFORMATION SCIENCE & LIBRARY SCIENCE
I. Silva, F. C. Gouveia
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引用次数: 2

Abstract

Introduction: This study juts the insertion of online social networks in the current informational scenario of society, emphasizing the importance of analyzing the informational engagement of individuals in these social media as a way of understanding the informational behavior of the population through the access and use of the information made available. by these communicational means. Method: It presents the proposed formulas for calculating informational engagement in online social networks by adjusting the quantification of existing interaction tools on social media such as like, share and comment. Thus, the suggested formulas assign weights based on the sample under analysis and which represent the level of relative engagement of a publication on online social networks. Results: It proves that the formulas presented are amenable to application on the online social networks Facebook, Instagram, YouTube and Twitter for presenting a dynamic of weights for each type of interaction, thus reflecting the relative engagement made by people in a publication for each context analyzed. Conclusion: It contributes to the development of research aimed at analyzing online social networks and enables a better understanding of the factors that involve the individual's informational behavior through the use of social media.
社交网络中的信息参与:如何计算?
引言:本研究强调了在线社交网络在当前社会信息场景中的插入,强调了分析个人在这些社交媒体中的信息参与的重要性,以此作为通过获取和使用可用信息来理解人群信息行为的一种方式。通过这些交流手段。方法:通过调整社交媒体上现有互动工具(如点赞、分享和评论)的量化,提出了计算在线社交网络中信息参与度的公式。因此,建议的公式根据分析中的样本分配权重,这些权重代表了出版物在在线社交网络上的相对参与程度。结果:它证明了所提出的公式适用于在线社交网络Facebook、Instagram、YouTube和Twitter,用于为每种类型的互动呈现权重的动态,从而反映了人们在所分析的每种上下文的出版物中的相对参与度。结论:它有助于发展旨在分析在线社交网络的研究,并使人们能够更好地了解通过使用社交媒体涉及个人信息行为的因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
AtoZ-Novas Praticas em Informacao e Conhecimento
AtoZ-Novas Praticas em Informacao e Conhecimento INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
0.40
自引率
33.30%
发文量
21
审稿时长
28 weeks
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