Skip to main content

Mapping the Twitterverse in the Developing World: An Analysis of Social Media Use in Nigeria

  • Conference paper
Social Computing, Behavioral - Cultural Modeling and Prediction (SBP 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7227))

Abstract

There is growing interest in the use of social media in the developing world. For example, the Arab Spring was widely considered to have been heavily influenced by information that propagated via social media such as Twitter and Facebook. Researchers are understandably eager to begin utilizing this growing collection of data to help inform some of their research questions. In this paper we discuss some of the methodological issues researchers need to consider when analyzing social media. We will focus on techniques to determine demographic characteristics of Twitter users, such as ethnicity and location, and why these are necessary. We will discuss some of the results from applying our methods to social media. Looking at social media in Nigeria, we present results showing the geographic distribution of Twitter users, the contribution of mobile users to the Twitter stream, and the estimated ethnic makeup of Twitter users.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Nigeria is increasingly connected (n.d.), http://www.itu.int/net/itunews/issues/2010/01/31.aspx (retrieved November 11, 2011)

  2. Donner, J.: Research Approaches to Mobile Use in the Developing World: A Review of the Literature. The Information Society 24(3), 140–159 (2008), doi:10.1080/01972240802019970

    Article  Google Scholar 

  3. Top mobile internet trends (n.d.), http://www.firsteditiondesign.com/kpcbtop10mobiletrends021011finalpdf-110210002130-phpapp02.pdf (retrieved November 11, 2011)

  4. Cortes, C., Vapnik, V.: Support-vector networks. Machine Learning 20(3), 273–297 (1995), doi:10.1007/BF00994018

    MATH  Google Scholar 

  5. Rao, D., Fink, C., Oates, T.: Hierarchical Bayesian Models for Latent Attribute Detection in Social Media. Artificial Intelligence (2011)

    Google Scholar 

  6. Afrobarometer (2008), www.afrobarometer.org

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Fink, C., Kopecky, J., Bos, N., Thomas, M. (2012). Mapping the Twitterverse in the Developing World: An Analysis of Social Media Use in Nigeria. In: Yang, S.J., Greenberg, A.M., Endsley, M. (eds) Social Computing, Behavioral - Cultural Modeling and Prediction. SBP 2012. Lecture Notes in Computer Science, vol 7227. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29047-3_20

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-29047-3_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29046-6

  • Online ISBN: 978-3-642-29047-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics