IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-03799185.html
   My bibliography  Save this paper

Analyzing the commentator network within the French YouTube environment

Author

Listed:
  • Kurt Maxwell Kusterer

    (LISIS - Laboratoire Interdisciplinaire Sciences, Innovations, Sociétés - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Université Gustave Eiffel)

  • Sylvain Mignot

    (UCL - Université catholique de Lille)

  • Annick Vignes

    (CAMS - Centre d'Analyse et de Mathématique sociales - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique)

Abstract

YouTube is the largest video hosting platform. The site has emerged in 2005 and has achieved a continuous pattern of growth since its conception (Burgess & Green 2018). A high number of creators, viewers, subscribers and commentators act in this specific ecosystem which generates a huge amount of money. In this article, YouTube is considered as a bilateral network between the videos and the commentators. Analyzing a detailed data set focused on French YouTubers, we consider each comment as a link between a commentator and a video. The main objective of this paper is to understand the determinants of the creation of these links. This is to say, what can explain the choice of an agent to comment a specific video instead of another one, taking into account characteristics of commentators, videos, topics, channels as well as recommendations. This work is different from the classic NLP studies, using text mining techniques to analyze the contents of the comments and the kind of information they diffuse.

Suggested Citation

  • Kurt Maxwell Kusterer & Sylvain Mignot & Annick Vignes, 2022. "Analyzing the commentator network within the French YouTube environment," Post-Print hal-03799185, HAL.
    • Handle: RePEc:hal:journl:hal-03799185
    Note: View the original document on HAL open archive server: https://hal.science/hal-03799185
    as

    Download full text from publisher

    File URL: https://hal.science/hal-03799185/document
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Youtube ecosystem; Behavioral analysis; Network analysis of Web links;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:hal:journl:hal-03799185. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.