IDEAS home Printed from https://ideas.repec.org/a/sae/eeupol/v25y2024i3p605-622.html
   My bibliography  Save this article

An open window into politics: A structured database of plenary sessions of the European Parliament

Author

Listed:
  • Camille Tremblay-Antoine

    (Department of Political Science, Columbia University, USA)

  • Steve Jacob

    (Department of Political Science, 4440Université Laval, Canada)

  • Yannick Dufresne

    (Department of Political Science, 4440Université Laval, Canada)

  • Patrick Poncet

    (InfoScope, Canada)

  • Shannon Dinan

    (Department of Political Science, 4440Université Laval, Canada)

Abstract

The uniqueness of the European Parliament, as well as the magnitude of impact its decisions wield over member states, are elements that capture researchers’ attention. However, several of this institution’s particularities have made broad analysis of the textual content it produces difficult. This research note presents Vitrine Démocratique , a new, publicly accessible, and centralized database structuring interventions made in the European Parliament starting in 2014, both in their original languages and translated to English. The process by which this high-velocity database was created is presented, as well as a descriptive overview of the contents of this data source, which is continuously updated on a daily basis.

Suggested Citation

  • Camille Tremblay-Antoine & Steve Jacob & Yannick Dufresne & Patrick Poncet & Shannon Dinan, 2024. "An open window into politics: A structured database of plenary sessions of the European Parliament," European Union Politics, , vol. 25(3), pages 605-622, September.
    • Handle: RePEc:sae:eeupol:v:25:y:2024:i:3:p:605-622
    DOI: 10.1177/14651165241239637
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/14651165241239637
    Download Restriction: no
    File URL: https://libkey.io/10.1177/14651165241239637?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
    ---><---

    References listed on IDEAS

    as
    1. Daniel J. Hopkins & Gary King, 2010. "A Method of Automated Nonparametric Content Analysis for Social Science," American Journal of Political Science, John Wiley & Sons, vol. 54(1), pages 229-247, January.
    2. Andreas Warntjen, 2007. "Steering the Union. The Impact of the EU Presidency on Legislative Activity in the Council," Journal of Common Market Studies, Wiley Blackwell, vol. 45(5), pages 1135-1157, December.
    3. Inga Ulnicane & William Knight & Tonii Leach & Bernd Carsten Stahl & Winter-Gladys Wanjiku, 2021. "Framing governance for a contested emerging technology:insights from AI policy [The next space race is Artificial Intelligence]," Policy and Society, Darryl S. Jarvis and M. Ramesh, vol. 40(2), pages 158-177.
    4. Lowe, Will, 2008. "Understanding Wordscores," Political Analysis, Cambridge University Press, vol. 16(4), pages 356-371.
    5. repec:bla:jcmkts:v:45:y:2007:i::p:1135-1157 is not listed on IDEAS
    6. Alison J. Harcourt, 1998. "EU Media Ownership Regulation: Conflict over the Definition of Alternatives," Journal of Common Market Studies, Wiley Blackwell, vol. 36(3), pages 369-389, 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. 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.
    2. Deniz Aksoy, 2010. "Who gets what, when, and how revisited: Voting and proposal powers in the allocation of the EU budget," European Union Politics, , vol. 11(2), pages 171-194, June.
    3. Pongsak Luangaram & Yuthana Sethapramote, 2016. "Central Bank Communication and Monetary Policy Effectiveness: Evidence from Thailand," PIER Discussion Papers 20, Puey Ungphakorn Institute for Economic Research.
    4. Miriam Hartlapp & Julia Metz & Christian Rauh, 2010. "The agenda set by the EU Commission: the result of balanced or biased aggregation of positions?," LEQS – LSE 'Europe in Question' Discussion Paper Series 21, European Institute, LSE.
    5. Benjamin E. Bagozzi & Daniel Berliner & Zack W. Almquist, 2021. "When does open government shut? Predicting government responses to citizen information requests," Regulation & Governance, John Wiley & Sons, vol. 15(2), pages 280-297, April.
    6. Sinziana-Maria Rindasu & Ioan Dan Topor & Liliana Ionescu-Feleaga, 2023. "The Evolution of Management Accountants' Digital Skills in Industry 4.0: A Qualitative Approach," Oblik i finansi, Institute of Accounting and Finance, issue 1, pages 38-48, March.
    7. Giovanni Di Franco & Michele Santurro, 2021. "Machine learning, artificial neural networks and social research," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(3), pages 1007-1025, June.
    8. 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.
    9. Mujtaba Ali Isani, 2021. "Methodological Problems of Using Arabic-Language Twitter as a Gauge for Arab Attitudes Toward Politics and Society," Contemporary Review of the Middle East, , vol. 8(1), pages 22-35, March.
    10. Pauwels, Koen & Aksehirli, Zeynep & Lackman, Andrew, 2016. "Like the ad or the brand? Marketing stimulates different electronic word-of-mouth content to drive online and offline performance," International Journal of Research in Marketing, Elsevier, vol. 33(3), pages 639-655.
    11. Aritz Bilbao-Jayo & Aitor Almeida, 2018. "Automatic political discourse analysis with multi-scale convolutional neural networks and contextual data," International Journal of Distributed Sensor Networks, , vol. 14(11), pages 15501477188, November.
    12. Rauh, Christian, 2018. "Validating a sentiment dictionary for German political language—a workbench note," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 15(4), pages 319-343.
    13. Andrea Sciandra & Alessio Surian & Livio Finos, 2021. "Supervised Machine Learning Methods to Disclose Action and Information in “U.N. 2030 Agenda” Social Media Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 156(2), pages 689-699, August.
    14. Aleti, Torgeir & Pallant, Jason I. & Tuan, Annamaria & van Laer, Tom, 2019. "Tweeting with the Stars: Automated Text Analysis of the Effect of Celebrity Social Media Communications on Consumer Word of Mouth," Journal of Interactive Marketing, Elsevier, vol. 48(C), pages 17-32.
    15. Martin Haselmayer & Marcelo Jenny, 2017. "Sentiment analysis of political communication: combining a dictionary approach with crowdcoding," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(6), pages 2623-2646, November.
    16. Pierre-Marc Daigneault & Dominic Duval & Louis M. Imbeau, 2018. "Supervised scaling of semi-structured interview transcripts to characterize the ideology of a social policy reform," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(5), pages 2151-2162, September.
    17. Christopher D. Wirz & Michael A. Xenos & Dominique Brossard & Dietram Scheufele & Jennifer H. Chung & Luisa Massarani, 2018. "Rethinking Social Amplification of Risk: Social Media and Zika in Three Languages," Risk Analysis, John Wiley & Sons, vol. 38(12), pages 2599-2624, December.
    18. Tiziana CARPI & Airo HINO & Stefano Maria IACUS & Giuseppe PORRO, 2022. "A Japanese Subjective Well-Being Indicator Based on Twitter Data [‘Collective Smile: Measuring Societal Happiness from Geolocated Images’]," Social Science Japan Journal, University of Tokyo and Oxford University Press, vol. 25(2), pages 273-296.
    19. Anna-Lena Högenauer, 2016. "Luxembourg's EU Council Presidency: Adapting Routines to New Circumstances," Journal of Common Market Studies, Wiley Blackwell, vol. 54, pages 91-100, September.

    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:sae:eeupol:v:25:y:2024:i:3:p:605-622. 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: SAGE Publications (email available below). General contact details of provider: .

    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.