IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/5508125.html
   My bibliography  Save this article

Application of Big Data Technology in News Media Scene Visualization Based on Internet of Things (IoTs)

Author

Listed:
  • Mengfan He
  • Yangbo Li
  • Wen-Tsao Pan

Abstract

The rapid development of information technology has made people quickly enter the data era, and the big data era has made visualization technology that can process and analyze data with more and more attention. At present, most of the data news visualization explorations of domestic network media remain at the level of static infographics. The Data News and Visualization Laboratory of New Media has developed a series of visual news works displayed in the form of interactive dynamic graphs. This article will discuss the application scenarios, technical architecture, and key technologies of the Internet of Things in news media through the analysis of the correlation between the Internet of Things and news media.

Suggested Citation

  • Mengfan He & Yangbo Li & Wen-Tsao Pan, 2022. "Application of Big Data Technology in News Media Scene Visualization Based on Internet of Things (IoTs)," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-10, June.
  • Handle: RePEc:hin:jnlmpe:5508125
    DOI: 10.1155/2022/5508125
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/mpe/2022/5508125.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/mpe/2022/5508125.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2022/5508125?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
    ---><---

    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:hin:jnlmpe:5508125. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.