Skip to main content
SpringerLink
Log in

Social Media Data in Research: Provenance Challenges

  • Conference paper
  • First Online:
Provenance and Annotation of Data and Processes (IPAW 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9672))

Included in the following conference series:

Abstract

In this paper we argue that understanding the provenance of social media datasets and their analysis is critical to addressing challenges faced by the social science research community in terms of the reliability and reproducibility of research utilising such data. Based on analysis of existing projects that use social media data, we present a number of research questions for the provenance community, which if addressed would help increase the transparency of the research process, aid reproducibility, and facilitate data reuse in the social sciences.

The work described here was funded by a grant from the United Kingdom’s Economic and Social Research Council Social Media - Developing Understanding, Infrastructure & Engagement (ES/M001628/1).

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

Access this chapter

Log in via an institution
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 EPUB and 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

Notes

  1. 1.

    http://www.twitter.com.

  2. 2.

    http://www.glasgow2014.com.

  3. 3.

    https://github.com/SocialJourneys/TMI.

  4. 4.

    http://www.glasgow2014.com/your-games/travel-and-transport.

  5. 5.

    https://www.r-project.org/.

  6. 6.

    https://dev.twitter.com/streaming/overview.

  7. 7.

    https://www.facebook.com.

  8. 8.

    https://gnip.com/.

  9. 9.

    http://semweb.mmlab.be/ns/prov-said/.

  10. 10.

    http://www.qsrinternational.com/.

References

  1. Batrinca, B., Treleaven, P.C.: Social media analytics: a survey of techniques, tools and platforms. AI & Soc. 30(1), 89–116 (2014)

    Article  Google Scholar 

  2. Cheney, J., Chiticariu, L., Tan, W.-C.: Provenance in databases: why, how, and where. Found. Trends Databases 1(4), 379–474 (2009)

    Article  Google Scholar 

  3. Cheney, J., Finkelstein, A., Ludascher, B., Vansummeren, S.: Principles of provenance. Dagstuhl Rep. 2(2), 84–113 (2012)

    Google Scholar 

  4. Cottrill, C., Yeboah, G., Gault, P., Nelson, J.D., Anable, J., Budd, T.: Tweeting transport: examining the use of twitter in transport events. In: Proceedings of the 47th Annual UTSG Conference (2015)

    Google Scholar 

  5. Edwards, P., Pignotti, E., Eckhardt, A., Ponnamperuma, K., Mellish, C., Bouttaz, T.: ourSpaces – design and deployment of a semantic virtual research environment. In: Cudré-Mauroux, P., et al. (eds.) ISWC 2012, Part II. LNCS, vol. 7650, pp. 50–65. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  6. Organisation for Economic Co-operation and Development: New data for understanding the human condition. Technical report, February 2013

    Google Scholar 

  7. Moreau, L., Groth, P., Cheney, J., Lebo, T., Miles, S.: The rationale of PROV. Web Semant. Sci. Serv. Agents World Wide Web 35(Part 4), 235–257 (2015)

    Article  Google Scholar 

  8. Moreau, L.: Provenance-based reproducibility in the semantic web. Web Semant. Sci. Serv. Agents World Wide Web 9(2), 202–221 (2011)

    Article  Google Scholar 

  9. Tufekci, Z.: Big data: Pitfalls, methods and concepts for an emergent field. Technical report, March 2013

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Computing Science, University of Aberdeen, Aberdeen, UK

    David Corsar, Milan Markovic & Peter Edwards

Authors
  1. David Corsar
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Milan Markovic
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Peter Edwards
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to David Corsar .

Editor information

Editors and Affiliations

  1. COPPE/UFRJ, Rio de Janeiro, Brazil

    Marta Mattoso

  2. Illinois Institute of Technology, Chicago, Illinois, USA

    Boris Glavic

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Corsar, D., Markovic, M., Edwards, P. (2016). Social Media Data in Research: Provenance Challenges. In: Mattoso, M., Glavic, B. (eds) Provenance and Annotation of Data and Processes. IPAW 2016. Lecture Notes in Computer Science(), vol 9672. Springer, Cham. https://doi.org/10.1007/978-3-319-40593-3_20

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-40593-3_20

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40592-6

  • Online ISBN: 978-3-319-40593-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation