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Developing and Evaluating a Readability Measure for Microblogging Communication

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E-Life: Web-Enabled Convergence of Commerce, Work, and Social Life (WEB 2015)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 258))

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Abstract

Especially due to the recent expansion of social media platforms, researchers and practitioners exert ever growing efforts to advance big data analytics techniques to derive actionable insights from social networks. Although a substantial body of research has shown that readability is of vital importance for the success of text-based communication, currently it is rarely considered in social media research or especially microblogging. In this research project, we intend to develop a readability measure for microblogging messages that is applicable to large scale data analysis and also provides concrete formulation recommendations for single messages. We will combine text mining and machine learning techniques to analyze a sample of approximately 6.8 million Twitter messages from and about 33 large S&P 100 companies to develop a respective readability measure.

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Author information

Authors and Affiliations

  1. Institute for Information Systems, Goethe University Frankfurt, Theodor-W.-Adorno-Platz 4, 60329, Frankfurt am Main, Germany

    Marten Risius & Theresia Pape

Authors
  1. Marten Risius
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  2. Theresia Pape
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Correspondence to Marten Risius .

Editor information

Editors and Affiliations

  1. Department of Decision and Information Sciences, Oakland University, Rochester, Michigan, USA

    Vijayan Sugumaran

  2. Virginia Commonwealth University, Richmond, Virginia, USA

    Victoria Yoon

  3. Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana–Champaign, Urbana, Illinois, USA

    Michael J. Shaw

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Risius, M., Pape, T. (2016). Developing and Evaluating a Readability Measure for Microblogging Communication. In: Sugumaran, V., Yoon, V., Shaw, M. (eds) E-Life: Web-Enabled Convergence of Commerce, Work, and Social Life. WEB 2015. Lecture Notes in Business Information Processing, vol 258. Springer, Cham. https://doi.org/10.1007/978-3-319-45408-5_25

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