Manually Profiling Egos and Entities across Social Media Platforms: Evaluating Shared Messaging and Contents, User Networks, and Metadata

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Author(s): Shalin Hai-Jew (Hutchinson Community College, USA)
Copyright: 2017
Pages: 54
Source title: Analyzing the Strategic Role of Social Networking in Firm Growth and Productivity
Source Author(s)/Editor(s): Vladlena Benson (University of West London, UK), Ronald Tuninga (Kingston Business School, UK)and George Saridakis (Kingston University, UK)
DOI: 10.4018/978-1-5225-0559-4.ch019

Keywords: Business Science Reference / E-Business / Media & Communications / Social Networking

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Abstract

Social media accounts on various social media platforms represent the public-facing Web presences of egos (individuals) and entities (groups). On the surface, these may be understood based on their profiles, their shared contents and postings, and their interactions with other user accounts online. A number of software tools and analytical techniques enable further analyses of these accounts through network analysis, content analysis, machine-based text summarization, and other approaches. This chapter describes some of the capabilities of “manual” or semi-automated (vs. fully automated) remote profiling of social media accounts for insights that would not generally be attainable by other means.

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Manually Profiling Egos and Entities across Social Media Platforms: Evaluating Shared Messaging and Contents, User Networks, and Metadata

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