IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v58y2024i1d10.1007_s11135-023-01654-3.html
   My bibliography  Save this article

Using web archives for an explorative study of the web presence of German parties during the European election 2019

Author

Listed:
  • Florence Ertel

    (University of Passau)

  • Simon Donig

    (University of Passau)

  • Markus Eckl

    (University of Applied Sciences Fulda)

  • Sebastian Gassner

    (University of Passau)

  • Daniel Göler

    (University of Passau)

  • Malte Rehbein

    (University of Passau)

Abstract

In the digital age, political science is faced with a shift of election campaigns and political discourse to digital or virtual arenas. Because the internet is a highly volatile medium and online content can become inaccessible after the campaign season, new challenges for research arise as well as the need for the preservation of online content. Moreover, the sheer volume of data researchers have to deal with has reached levels where traditional methods are being highly challenged. This paper puts forth a web harvesting workflow with a strong focus on granular extraction of unstructured information (publication dates) for automated analysis. As our approach is methodological, we would like to point out the benefits that researches in political science may draw from adapting our methodology. We demonstrate this by analysing an event-based web crawl of German parties participating in the election campaign for the European Parliamentary Election in 2019. We employ distant reading methods to generate topic models, which are subsequently evaluated by hermeneutic analysis of a subset of the data.

Suggested Citation

  • Florence Ertel & Simon Donig & Markus Eckl & Sebastian Gassner & Daniel Göler & Malte Rehbein, 2024. "Using web archives for an explorative study of the web presence of German parties during the European election 2019," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(1), pages 603-625, February.
    • Handle: RePEc:spr:qualqt:v:58:y:2024:i:1:d:10.1007_s11135-023-01654-3
    DOI: 10.1007/s11135-023-01654-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11135-023-01654-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11135-023-01654-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Grimmer, Justin & Stewart, Brandon M., 2013. "Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts," Political Analysis, Cambridge University Press, vol. 21(3), pages 267-297, July.
    2. Barberá, Pablo & Casas, Andreu & Nagler, Jonathan & Egan, Patrick J. & Bonneau, Richard & Jost, John T. & Tucker, Joshua A., 2019. "Who Leads? Who Follows? Measuring Issue Attention and Agenda Setting by Legislators and the Mass Public Using Social Media Data," American Political Science Review, Cambridge University Press, vol. 113(4), pages 883-901, November.
    3. Hooghe, Liesbet & Marks, Gary, 2009. "A Postfunctionalist Theory of European Integration: From Permissive Consensus to Constraining Dissensus," British Journal of Political Science, Cambridge University Press, vol. 39(1), pages 1-23, January.
    4. Hermann Schmitt & Alberto Sanz & Daniela Braun & Eftichia Teperoglou, 2020. "It All Happens at Once: Understanding Electoral Behaviour in Second-Order Elections," Politics and Governance, Cogitatio Press, vol. 8(1), pages 6-18.
    5. Zürn, Michael, 2019. "Politicization compared: at national, European, and global levels," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 26(7), pages 977-995.
    6. repec:cup:apsrev:v:113:y:2019:i:04:p:883-901_00 is not listed on IDEAS
    7. Scott Deerwester & Susan T. Dumais & George W. Furnas & Thomas K. Landauer & Richard Harshman, 1990. "Indexing by latent semantic analysis," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 41(6), pages 391-407, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rauh, Christian, 2015. "Communicating supranational governance? The salience of EU affairs in the German Bundestag, 1991–2013," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 16(1), pages 116-138.
    2. Maksym Polyakov & Morteza Chalak & Md. Sayed Iftekhar & Ram Pandit & Sorada Tapsuwan & Fan Zhang & Chunbo Ma, 2018. "Authorship, Collaboration, Topics, and Research Gaps in Environmental and Resource Economics 1991–2015," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(1), pages 217-239, September.
    3. Braun, Daniela & Grande, Edgar, 2021. "Politicizing Europe in Elections to the European Parliament (1994–2019): The Crucial Role of Mainstream Parties," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 59(5), pages 1124-1141.
    4. Zhang, Han, 2021. "How Using Machine Learning Classification as a Variable in Regression Leads to Attenuation Bias and What to Do About It," SocArXiv 453jk, Center for Open Science.
    5. Nikolas Schöll & Aina Gallego & Gaël Le Mens, 2021. "Politician-Citizen Interactions and Dynamic Representation: Evidence from Twitter," Working Papers 1238, Barcelona School of Economics.
    6. Thomas Winzen & Rik de Ruiter & Jofre Rocabert, 2018. "Is parliamentary attention to the EU strongest when it is needed the most? National parliaments and the selective debate of EU policies," European Union Politics, , vol. 19(3), pages 481-501, September.
    7. van Loon, Austin, 2022. "Three Families of Automated Text Analysis," SocArXiv htnej, Center for Open Science.
    8. Reinout A van der Veer & Markus Haverland, 2018. "Bread and butter or bread and circuses? Politicisation and the European Commission in the European Semester," European Union Politics, , vol. 19(3), pages 524-545, September.
    9. Aina Gallego & Nikolas Schöll & Gaël Le Mens, 2021. "Politician-citizen interactions and dynamic representation: Evidence from Twitter," Economics Working Papers 1769, Department of Economics and Business, Universitat Pompeu Fabra.
    10. Matthew Gentzkow & Bryan T. Kelly & Matt Taddy, 2017. "Text as Data," NBER Working Papers 23276, National Bureau of Economic Research, Inc.
    11. Javier De la Hoz-M & Mª José Fernández-Gómez & Susana Mendes, 2021. "LDAShiny: An R Package for Exploratory Review of Scientific Literature Based on a Bayesian Probabilistic Model and Machine Learning Tools," Mathematics, MDPI, vol. 9(14), pages 1-21, July.
    12. Giovanna Maria Dora Dore, 2023. "A Natural Language Processing Analysis of Newspapers Coverage of Hong Kong Protests Between 1998 and 2020," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 169(1), pages 143-166, September.
    13. Felix Lehmann, 2023. "Talking about Europe? Explaining the salience of the European Union in the plenaries of 17 national parliaments during 2006–2019," European Union Politics, , vol. 24(2), pages 370-389, June.
    14. Daniela Braun & Edgar Grande, 2021. "Politicizing Europe in Elections to the European Parliament (1994–2019): The Crucial Role of Mainstream Parties," Journal of Common Market Studies, Wiley Blackwell, vol. 59(5), pages 1124-1141, September.
    15. Christian Rauh, 2015. "Communicating supranational governance? The salience of EU affairs in the German Bundestag, 1991–2013," European Union Politics, , vol. 16(1), pages 116-138, March.
    16. Anna Calissano & Simone Vantini & Marika Arena, 2020. "Monitoring rare categories in sentiment and opinion analysis: a Milan mega event on Twitter platform," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 29(4), pages 787-812, December.
    17. Irina Wedel & Michael Palk & Stefan Voß, 2022. "A Bilingual Comparison of Sentiment and Topics for a Product Event on Twitter," Information Systems Frontiers, Springer, vol. 24(5), pages 1635-1646, October.
    18. Bernhardt, Lea & Dewenter, Ralf & Thomas, Tobias, 2023. "Measuring partisan media bias in US newscasts from 2001 to 2012," European Journal of Political Economy, Elsevier, vol. 78(C).
    19. Ntentas, Raphael, 2021. "Quantifying political populism and examining the link with economic insecurity: evidence from Greece," LSE Research Online Documents on Economics 112579, London School of Economics and Political Science, LSE Library.
    20. Julian Aichholzer & Sylvia Kritzinger & Carolina Plescia, 2021. "National identity profiles and support for the European Union," European Union Politics, , vol. 22(2), pages 293-315, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:qualqt:v:58:y:2024:i:1:d:10.1007_s11135-023-01654-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.