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Journal ArticleDOI

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

TLDR
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.
About
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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Citations
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Social media for openness and accountability in the public sector: Cases in the Greek context

TL;DR: A study is conducted in the Greek context using interviews with top managers, policy makers, and relevant stakeholders across five initiatives to discuss distinct affordances for openness and accountability, and propose their inclusion as building blocks of the national ICT policy for transparency and accountability.
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Role of big data and social media analytics for business to business sustainability: A participatory web context

TL;DR: In this paper, the ability of big data and social media analytics within a participatory web environment to enable B2B organizations to become profitable and remain sustainable through strategic operations and marketing related business activities is discussed.
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Linking public sector social media and e-government website use to trust in government

TL;DR: Findings are interpreted to suggest that forms of e-government conducive to the transmission of less detailed information (social media) may be more effective at improving relationships between citizens and their government than forms of E-government that are more commonly used to transmit detailed information.
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Factors Influencing Information credibility on Social Media Platforms: Evidence from Facebook Pages

TL;DR: Drawing on the persuasion theory—the Elaboration Likelihood Model (ELM), five factors from two dimensions of credibility (medium and message credibility) are key ingredients in the online information assessment, and a research model is developed that predicts individuals’ perceived information credibility on social media platforms.
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The real-time power of Twitter: Crisis management and leadership in an age of social media

TL;DR: In this paper, the authors focus on crisis management and leadership by executives, boards, and institutions and apply research on resilience, power, and sensemaking in the analysis of the ousting and subsequent return of a chief executive by the board of directors.
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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