Skip to main content
SpringerLink
Log in

Analysis of Country Mentions in the Debates of the UN Security Council

  • Conference paper
  • First Online:
Information Integration and Web Intelligence (iiWAS 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13635))

Included in the following conference series:

Abstract

In this paper, we present a dataset of country mentions within the debates of the UN Security Council (UNSC). Using the corpus of the UNSC debates [6], we extract country mentions from the speeches and link them to the country of the speaker, creating a who-mentions-whom network at country level. This data can be used to identify geopolitical change events over time by tracking the evolution of number of country mentions over time, and detecting peak points.

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 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
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.

    Available at https://github.com/rajighawi/UNSC-Country-Mentions-Dataset.

  2. 2.

    https://www.iso.org/iso-3166-country-codes.html.

  3. 3.

    https://en.wikipedia.org/wiki/ISO_3166-1_alpha-3.

References

  1. Grimmer, J., Stewart, B.M.: Text as data: the promise and pitfalls of automatic content analysis methods for political texts. Polit. Anal. 21(3), 267–297 (2013)

    Article  Google Scholar 

  2. King, G., Lowe, W.: An automated information extraction tool for international conflict data with performance as good as human coders: a rare events evaluation design. Int. Organ. 57(3), 617–642 (2003)

    Article  Google Scholar 

  3. Leskovec, J., Rajaraman, A., Ullman, J.: Mining of massive datasets, chapter 3, finding similar items, pp. 68–122. Cambridge University Press, 2nd edn. (2014)

    Google Scholar 

  4. Nadeau, D., Sekine, S.: A survey of named entity recognition and classification. Lingvisticae Investigationes 30, 3–26 (2007)

    Article  Google Scholar 

  5. Palshikar, G.: Simple algorithms for peak detection in time-series (2009)

    Google Scholar 

  6. Schoenfeld, M., Eckhard, S., Patz, R., Meegdenburg, H., Pires, A.: The UN security council debates (2019). https://doi.org/10.7910/DVN/KGVSYH

Download references

Author information

Authors and Affiliations

  1. School of Social Sciences and Technology, Technical University of Munich, Munich, Germany

    Raji Ghawi & Jürgen Pfeffer

Authors
  1. Raji Ghawi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jürgen Pfeffer
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Raji Ghawi .

Editor information

Editors and Affiliations

  1. La Trobe University, Melbourne, VIC, Australia

    Eric Pardede

  2. Monash University, Melbourne, VIC, Australia

    Pari Delir Haghighi

  3. Johannes Kepler University Linz, Linz, Austria

    Ismail Khalil

  4. Johannes Kepler University Linz, Linz, Austria

    Gabriele Kotsis

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ghawi, R., Pfeffer, J. (2022). Analysis of Country Mentions in the Debates of the UN Security Council. In: Pardede, E., Delir Haghighi, P., Khalil, I., Kotsis, G. (eds) Information Integration and Web Intelligence. iiWAS 2022. Lecture Notes in Computer Science, vol 13635. Springer, Cham. https://doi.org/10.1007/978-3-031-21047-1_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-21047-1_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-21046-4

  • Online ISBN: 978-3-031-21047-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation