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Journal ArticleDOI

Social media? Get serious! Understanding the functional building blocks of social media

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In this article, the authors present a framework that defines social media by using seven functional building blocks: identity, conversations, sharing, presence, relationships, reputation, and groups, and explain the implications that each block can have for how firms should engage with social media.
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This article is published in Business Horizons.The article was published on 2011-05-01. It has received 3073 citations till now. The article focuses on the topics: Social media & User-generated content.

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Misinformation sharing and social media fatigue during COVID-19: An affordance and cognitive load perspective

TL;DR: In this article, the authors investigate how motivational factors and personal attributes influence social media fatigue and the sharing of unverified information during the COVID-19 pandemic, and they develop a model which they analyse using the structural equation modelling and neural network techniques with data collected from young adults in Bangladesh (N = 433).
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Characterizing and Modeling the Dynamics of Activity and Popularity

TL;DR: An evolving model is proposed for social media networks, in which the evolution is driven only by two-step random walk, and it is found that cross links between users and items are more likely to be created by active users and to be acquired by popular items than the inactive users.
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Blockchain as a disruptive technology for business: A systematic review

TL;DR: It is found that blockchain remains an early-stage domain of research in terms of theoretical grounding, methodological diversity, and empirically grounded work in the business literature from 2014 to 2018.
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The Relations Among Social Media Addiction, Self-Esteem, and Life Satisfaction in University Students

TL;DR: In this article, a generic questionnaire, the Social Media Addiction Questionnaire SMAQ, was used stemming from the Facebook Intrusion Questionnaire, and data analyses included Pearson correlations between the variables, regression analysis, and structural equation modeling.
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Should tweets differ for B2B and B2C? An analysis of Fortune 500 companies' Twitter communications

TL;DR: The authors investigate how marketers use Twitter differently across contexts and predict key factors likely to influence the message strategies used in each, finding that marketers in B2B and B2C settings exhibit significant differences in their branding and selling strategies; their use of message appeals; and the use of cues, links, and hashtags to support information searches.
References
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Journal ArticleDOI

The Strength of Weak Ties

TL;DR: In this paper, it is argued that the degree of overlap of two individuals' friendship networks varies directly with the strength of their tie to one another, and the impact of this principle on diffusion of influence and information, mobility opportunity, and community organization is explored.
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Social Network Sites: Definition, History, and Scholarship

TL;DR: This publication contains reprint articles for which IEEE does not hold copyright and which are likely to be copyrighted.
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Users of the world, unite! The challenges and opportunities of Social Media

TL;DR: A classification of Social Media is provided which groups applications currently subsumed under the generalized term into more specific categories by characteristic: collaborative projects, blogs, content communities, social networking sites, virtual game worlds, and virtual social worlds.
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The Search-Transfer Problem: The Role of Weak Ties in Sharing Knowledge across Organization Subunits.

TL;DR: In this article, the authors combine the concept of weak ties from social network research and the notion of complex knowledge to explain the role of weak links in sharing knowledge across organization subunits.
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The Network Paradigm in Organizational Research: A Review and Typology

TL;DR: This paper reviewed and analyzed the emerging network paradigm in organizational research and developed a set of dimensions along which network studies vary, including direction of causality, levels of analysis, explanatory goals, and explanatory mechanisms.
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