IDEAS home Printed from https://ideas.repec.org/a/taf/jmedec/v26y2013i2p82-97.html
   My bibliography  Save this article

Attracted but Unsatisfied: The Effects of Sensational Content on Television Consumption Choices

Author

Listed:
  • Luca Stanca
  • Marco Gui
  • Marcello Gallucci

Abstract

This article investigates experimentally the effects of sensational content on viewing choices and satisfaction in television consumption. The authors found that the presence of verbal violence in one program causes subjects to watch more of that program. However, subjects do not experience higher satisfaction with the program. In addition, they report lower satisfaction with the overall viewing experience. These findings are robust to the use of different program types for the experimental manipulation. Overall, the results pose a challenge to the use of audience figures as a measure of enjoyment or satisfaction.

Suggested Citation

  • Luca Stanca & Marco Gui & Marcello Gallucci, 2013. "Attracted but Unsatisfied: The Effects of Sensational Content on Television Consumption Choices," Journal of Media Economics, Taylor & Francis Journals, vol. 26(2), pages 82-97, June.
    • Handle: RePEc:taf:jmedec:v:26:y:2013:i:2:p:82-97
    DOI: 10.1080/08997764.2013.785552
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/08997764.2013.785552
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/08997764.2013.785552?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nicola Matteucci & Silvio Minnetti & Paolo Nanni, 2016. "Economia civile e gioco d?azzardo: la rete Slot Mob e l?esperienza delle Marche," PRISMA Economia - Societ? - Lavoro, FrancoAngeli Editore, vol. 2016(3), pages 168-191.
    2. Nodir Adilov & Hugh J. Martin, 2013. "Editors' Note on Future Directions for the Journal of Media Economics," Journal of Media Economics, Taylor & Francis Journals, vol. 26(3), pages 115-119, September.
    3. Rotondi, Valentina & Stanca, Luca & Tomasuolo, Miriam, 2017. "Connecting alone: Smartphone use, quality of social interactions and well-being," Journal of Economic Psychology, Elsevier, vol. 63(C), pages 17-26.

    More about this item

    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:taf:jmedec:v:26:y:2013:i:2:p:82-97. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/HMEC20 .

    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.