Journal Articles

Data-Driven Content Analysis of Social Media A Systematic Overview of Automated Methods

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Researchers have long measured people’s thoughts, feelings, and personalities using carefully designed survey questions, which are often given to a relatively small number of volunteers. The proliferation of social media, such as Twitter and Facebook, offers alternative measurement approaches: automatic content coding at unprecedented scales and the statistical power to do open-vocabulary exploratory analysis. We describe a range of automatic and partially automatic content analysis techniques and illustrate how their use on social media generates insights into subjective well-being, health, gender differences, and personality.

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Detail Information

Series Title

THE ANNALS OF THE AMERICAN ACADEMY OF POLITICAL AND SOCIAL SIENCE

Call Number

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Publisher

Thousand Oaks : Sage Publications., 2015

Collation

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Language

English

ISBN/ISSN

978-1-5063-1463-1

Classification

NONE

Content Type

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Media Type

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Carrier Type

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Edition

Volume 659, May 2015, pages 78-94

Subject(s)

Text mining
Content Analysis
Social media
Twitter

Specific Detail Info

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Statement of Responsibility

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