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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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The Predictive Power of Social Media: On the Predictability of U.S. Presidential Elections using Twitter.

TL;DR: The results aptly suggest that Twitter as a well-known social medium is a valid source in predicting future events such as elections, which implies that understanding public opinions and trends via social media in turn allows us to propose a cost- and time-effective way not only for spreading and sharing information, but also for predicting future Events.
Journal ArticleDOI

Social media use in pre-trip planning by tourists visiting a small regional leisure destination

TL;DR: In this article, the authors developed a better understanding of the use of social media in tourism pre-trip information search patterns for small regional leisure destinations and found that social media was important for 27.9% of respondents when searching for information about their upcoming trip.
Journal ArticleDOI

Social media based value creation and business models

TL;DR: This study offers detailed descriptions and analyses of the major social media mechanisms affecting how value is created in social media-based value networks and the kinds of impact social media can have on present and future business models.
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Refuting fake news on social media: nonprofits, crisis response strategies and issue involvement

TL;DR: In this paper, the authors examined the effectiveness of crisis response strategies of denial and attack in addressing rumors about consumer privacy when non-profit organizations are targeted on social media and found that issue involvement plays a key role in message perceptions of false information regarding consumer privacy in social media.
Proceedings ArticleDOI

No Reciprocity in "Liking" Photos: Analyzing Like Activities in Instagram

TL;DR: An analysis of the structural, influential, and contextual aspects of Like activities from the test datasets of 20 million users and their 2 billion Like activities in Instagram highlights that Like activities and networks increase exponentially, and are formed and developed by one's friends and many random users.
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.
Journal ArticleDOI

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.
Journal ArticleDOI

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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