IDEAS home Printed from https://ideas.repec.org/a/bla/jinfst/v67y2016i7p1588-1606.html
   My bibliography  Save this article

Social-media-based public policy informatics: Sentiment and network analyses of U.S. Immigration and border security

Author

Listed:
  • Wingyan Chung
  • Daniel Zeng

Abstract

No abstract is available for this item.

Suggested Citation

  • Wingyan Chung & Daniel Zeng, 2016. "Social-media-based public policy informatics: Sentiment and network analyses of U.S. Immigration and border security," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(7), pages 1588-1606, July.
    • Handle: RePEc:bla:jinfst:v:67:y:2016:i:7:p:1588-1606
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1002/asi.23449
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Suppawong Tuarob & Thanapon Noraset & Tanisa Tawichsri, 2022. "Using Large-Scale Social Media Data for Population-Level Mental Health Monitoring and Public Sentiment Assessment: A Case Study of Thailand," PIER Discussion Papers 169, Puey Ungphakorn Institute for Economic Research.
    2. Prabhsimran Singh & Yogesh K. Dwivedi & Karanjeet Singh Kahlon & Ravinder Singh Sawhney & Ali Abdallah Alalwan & Nripendra P. Rana, 0. "Smart Monitoring and Controlling of Government Policies Using Social Media and Cloud Computing," Information Systems Frontiers, Springer, vol. 0, pages 1-23.
    3. Prabhsimran Singh & Yogesh K. Dwivedi & Karanjeet Singh Kahlon & Ravinder Singh Sawhney & Ali Abdallah Alalwan & Nripendra P. Rana, 2020. "Smart Monitoring and Controlling of Government Policies Using Social Media and Cloud Computing," Information Systems Frontiers, Springer, vol. 22(2), pages 315-337, April.
    4. Yiqiao Chen & Elisabete A. Silva & José P. Reis, 2021. "Measuring policy debate in a regrowing city by sentiment analysis using online media data: A case study of Leipzig 2030," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(3), pages 675-692, June.
    5. Albert Weichselbraun & Philipp Kuntschik & Vincenzo Francolino & Mirco Saner & Urs Dahinden & Vinzenz Wyss, 2021. "Adapting Data-Driven Research to the Fields of Social Sciences and the Humanities," Future Internet, MDPI, vol. 13(3), pages 1-22, February.

    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:bla:jinfst:v:67:y:2016:i:7:p:1588-1606. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.asis.org .

    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.