Skip to main content
Springer Nature Link
Log in

Conceptual Mapping of Controversies

  • Conference paper
  • First Online:
Conceptual Knowledge Structures (CONCEPTS 2024)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14914))

Included in the following conference series:

  • 125 Accesses

Abstract

With our work, we contribute towards a qualitative analysis of the discourse on controversies in online news media. For this, we employ Formal Concept Analysis and the economics of conventions to derive conceptual controversy maps. In our experiments, we analyze two maps from different news journals with methods from ordinal data science. We show how these methods can be used to assess the diversity, complexity and potential bias of controversies. In addition to that, we discuss how the diagrams of concept lattices can be used to navigate between news articles.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
eBook
USD 129.00
Price excludes VAT (USA)
Softcover Book
USD 74.99
Price excludes VAT (USA)

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    https://www.presserat.de/pressekodex.html.

  2. 2.

    https://www.presserat.de/pressekodex.html?file=files/presserat/dokumente/pressekodex/Pressekodex2017english.pdf&cid=218.

  3. 3.

    We may note that we do not claim that the selection is representative for both journals. For future, more extensive investigations we envision the use of attribute exploration [13] to cover all relevant types of articles. For this study we refrain from doing so due to the big expense in manually classifying articles in terms of their conventions and the limited access to the journal’s data source. We can also envision that the use of machine learning can help to speed up the classification process – with a potential loss of accuracy. Preliminary research in that direction has been conducted [32].

References

  1. Bernstein, A., et al.: Diversity in news recommendation: manifesto from Dagstuhl perspectives workshop 19482. Dagstuhl Manifestos 9(1), 43–61 (2021)

    MathSciNet  Google Scholar 

  2. Blumler, J.G., Katz, E..: The uses of mass communications: current perspectives on gratifications research. In: Sage Annual Reviews of Communication Research. ERIC, vol. III (1974)

    Google Scholar 

  3. Boltanski, L., Thévenot, L.: Die Soziologie der kritischen Kompetenzen. In: Diaz-Bone, R. (ed.) Soziologie der Konventionen. Grundlagen einer pragmatischen Anthropologie. Frankfurt am Main and New York: Campus, pp. 43–68 (2011)

    Google Scholar 

  4. Boltanski, L., Thévenot, L.: Über die Rechtfertigung. Hamburger Edition, Eine Soziologie der kritischen Urteilskraft. Hamburg (2007)

    Google Scholar 

  5. Castells, P., Hurley, N.J., Vargas, S.: Novelty and diversity in recommender systems. In: Ricci, F., Rokach, L., Shapira, B. (eds.) Recommender Systems Handbook, pp. 603–646. Springer, New York (2021). https://doi.org/10.1007/978-1-0716-2197-4_16

    Chapter  Google Scholar 

  6. Collins, A., Tkaczyk, D., Aizawa, A., Beel, J.: Position bias in recommender systems for digital libraries. In: Chowdhury, G., McLeod, J., Gillet, V., Willett, P. (eds.) iConference 2018. LNCS, vol. 10766, pp. 335–344. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-78105-1_37

    Chapter  Google Scholar 

  7. Das, A.S., et al.: Google news personalization: scalable online collaborative filtering. In: Proceedings of the 16th International Conference on World Wide Web, pp. 271–280 (2007)

    Google Scholar 

  8. Diakopoulos, N., Koliska, M.: Algorithmic transparency in the news media. Dig. J. 5(7), 809–828 (2017)

    Google Scholar 

  9. Diaz-Bone, R.: Economics of convention and its perspective on knowledge and institutions. In: Knowledge and Institutions, pp. 69–88 (2018)

    Google Scholar 

  10. Diaz-Bone, R.: Economie des conventions. In: Beckert, J., Deutschmann, C. (eds.) Wirtschaftssoziologie - Sonderheft der Kölner Zeitschrift für Soziologie und Sozialpsychologie, vol. 49, pp. 176–193 (2009)

    Google Scholar 

  11. Diaz-Bone, R.: Einführung in die Soziologie der Konventionen. In: Soziologie der Konventionen. Grundlagen einer pragmatischen Anthropologie, pp. 9–41 (2011)

    Google Scholar 

  12. Dürrschnabel, D., Stumme, G.: Greedy discovery of ordinal factors. CoRR abs/2302.11554 (2023). arXiv: 2302.11554

  13. Ganter, B.: Attribute exploration with background knowledge. Theoret. Comput. Sci. 217(2), 215–233 (1999)

    Article  MathSciNet  Google Scholar 

  14. Ganter, B., Glodeanu, C.V.: Ordinal factor analysis. In: Domenach, F., Ignatov, D.I., Poelmans, J. (eds.) ICFCA 2012. LNCS (LNAI), vol. 7278, pp. 128–139. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-29892-9_15

    Chapter  Google Scholar 

  15. Ganter, B., Hanika, T., Hirth, J.: Scaling dimension. In: Dürrschnabel, D., López Rodríguez, D. (eds.) ICFCA 2023. LNCS, vol. 13934, pp. 64–77. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-35949-1_5

  16. Ganter, B., Wille, R.: Formal Concept Analysis : Mathematical Foundations. Springer, New York (1999). https://doi.org/10.1007/978-3-642-59830-2

    Book  Google Scholar 

  17. Ge, M., Delgado-Battenfeld, C., Jannach, D.: Beyond accuracy: evaluating recommender systems by coverage and serendipity. In: Proceedings of the Fourth ACM Conference on Recommender Systems, pp. 257–260 (2010)

    Google Scholar 

  18. Hanika, T., Hirth, J.: On the lattice of conceptual measurements. Inf. Sci. 613, 453–468 (2022)

    Article  Google Scholar 

  19. Hanika, T., Hirth, J.: Quantifying the conceptual error in dimensionality reduction. In: Braun, T., Gehrke, M., Hanika, T., Hernandez, N. (eds.) ICCS 2021. LNCS (LNAI), vol. 12879, pp. 105–118. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-86982-3_8

    Chapter  Google Scholar 

  20. Helberger, N.: On the democratic role of news recommenders. Digit. J. 7(8), 993–1012 (2019)

    Google Scholar 

  21. Helberger, N., Karppinen, K., D’acunto, L.: Exposure diversity as a design principle for recommender systems. Inf. Commun. Soc. 21(2), 191–207 (2018)

    Article  Google Scholar 

  22. Karimi, M., Jannach, D., Jugovac, M.: News recommender systems-survey and roads ahead. Inf. Process. Manag. 54(6), 1203–1227 (2018)

    Article  Google Scholar 

  23. Hong Joo Lee and Sung Joo Park: MONERS: a news recommender for the mobile web. Expert Syst. Appl. 32(1), 143–150 (2007)

    Article  Google Scholar 

  24. Lin, C., et al.: Personalized news recommendation via implicit social experts. Inf. Sci. 254, 1–18 (2014)

    Article  Google Scholar 

  25. Lin, C., et al.: Premise: personalized news recommendation via implicit social experts. In: Proceedings of the 21st ACM International Conference on Information and Knowledge Management, pp. 1607–1611 (2012)

    Google Scholar 

  26. Oliver Nachtwey and Timo Seidl: The solutionist ethic and the spirit of digital capitalism. Theory Cult. Soc. 41(2), 91–112 (2024)

    Article  Google Scholar 

  27. Nguyen, T.T., et al.: Exploring the filter bubble: the effect of using recommender systems on content diversity. In: Proceedings of the 23rd International Conference on World Wide Web, pp. 677–686 (2014)

    Google Scholar 

  28. Nielsen, R.K., Schroder, K.C.: The relative importance of social media for accessing, finding, and engaging with news: an eight-country cross-media comparison. Digit. J. 2(4), 472–489 (2014)

    Google Scholar 

  29. Pariser, E.: The Filter Bubble: What the Internet is Hiding From You. Penguin Press, New York (2011)

    Google Scholar 

  30. Park, C.S., Kaye, B.K.: What’s this? Incidental exposure to news on social media, news-finds-me perception, news efficacy, and news consumption. In: Social Media News and Its Impact. Routledge, pp. 98–121 (2021)

    Google Scholar 

  31. Robertson, C.E., et al.: Negativity drives online news consumption. Nat. Hum. Behav. 7(5), 812–822 (2023)

    Article  Google Scholar 

  32. Solans, D., et al.: Learning to classify morals and conventions: artificial intelligence in terms of the economics of convention. In: Proceedings of the International AAAI Conference on Web and Social Media, vol. 15, pp. 691–702 (2021)

    Google Scholar 

  33. Stumme, G., Dürrschnabel, D., Hanika, T.: Towards ordinal data science”. en. In: Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2023)

    Google Scholar 

  34. Venturini, T.: Building on faults: how to represent controversies with digital methods. Public Understand. Sci. 21(7), 796–812 (2012)

    Article  Google Scholar 

  35. Tommaso Venturini and Anders Kristian Munk: Controversy Mapping: A Field Guide. Polity, Cambridge (2022)

    Google Scholar 

  36. Wolf, C., Schnauber, A.: News consumption in the mobile era: the role of mobile devices and traditional journalism’s content within the user’s information repertoire. Digit. J. 3(5), 759–776 (2015)

    Google Scholar 

  37. Yanardağoğlu, E.: Just the way my generation reads the news’: news consumption habits of youth in Turkey and the UK. Global Media Commun. 17(2), 149–166 (2021)

    Article  Google Scholar 

  38. Young, H.P.: The economics of convention. J. Econ. Perspect. 10(2), 105–122 (1996)

    Article  Google Scholar 

Download references

Funding

This work was performed in the project FAIRDIENSTE which was funded by the German Federal Ministry of Education and Research (BMBF) in its program “Economical aspects of IT security and privacy” under grant number 16KIS1249K.

Author information

Authors and Affiliations

  1. Knowledge and Data Engineering, University of Kassel, Kassel, Germany

    Dominik Dürrschnabel, Johannes Hirth & Gerd Stumme

  2. Participatory IT Design, University of Kassel, Kassel, Germany

    Claude Draude & Viktoria Horn

  3. Sociological Theory, University of Kassel, Kassel, Germany

    Jonathan Kropf, Jörn Lamla & Markus Uhlmann

  4. Interdisciplinary Research Center for Information System Design, University of Kassel, Kassel, Germany

    Claude Draude, Dominik Dürrschnabel, Johannes Hirth, Viktoria Horn, Jonathan Kropf, Jörn Lamla, Gerd Stumme & Markus Uhlmann

Authors
  1. Claude Draude
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Dominik Dürrschnabel
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Johannes Hirth
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Viktoria Horn
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Jonathan Kropf
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Jörn Lamla
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Gerd Stumme
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Markus Uhlmann
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Johannes Hirth .

Editor information

Editors and Affiliations

  1. University of Málaga, Málaga, Spain

    Inma P. Cabrera

  2. IRISA, Rennes, France

    Sébastien Ferré

  3. TU Dresden, Dresden, Germany

    Sergei Obiedkov

Rights and permissions

Reprints and permissions

Copyright information

© 2024 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

Draude, C. et al. (2024). Conceptual Mapping of Controversies. In: Cabrera, I.P., Ferré, S., Obiedkov, S. (eds) Conceptual Knowledge Structures. CONCEPTS 2024. Lecture Notes in Computer Science(), vol 14914. Springer, Cham. https://doi.org/10.1007/978-3-031-67868-4_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-67868-4_14

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-67867-7

  • Online ISBN: 978-3-031-67868-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation