IDEAS home Printed from https://ideas.repec.org/a/taf/cjutxx/v30y2023i1p111-126.html
   My bibliography  Save this article

City Transit Rider Tweets: Understanding Sentiments and Politeness

Author

Listed:
  • Subasish Das
  • Hamsa Abbas Zubaidi

Abstract

With the expanding popularity of Web 2.0, there has been a huge surge in the use of social media, like Twitter, to express user sentiments or opinions. Delays and breakdowns in transit operations can make riders annoyed and irritated, and as a result, they express their anger and frustration via social media posts. Understanding the tipping points of public frustration will help in developing better solutions. This study aims to develop a framework by developing multilevel sentiment analysis and determine the emotion and politeness measures using transit-related tweets from New York (New York City) and California (San Francisco). The popular hashtags associated with the transit systems of New York and California were collected during 2019. The words associated with negative sentiments widely differ in these two states. Moderate levels of differences are seen in the politeness measures for these two states. Additionally, co-occurrence measures associated with negative emotions identified unique issues based on the demographics. This study demonstrates that Twitter provides a great opportunity to understand the public perception of transit, and the findings can help authorities design a more efficient transit system to improve user experience.

Suggested Citation

  • Subasish Das & Hamsa Abbas Zubaidi, 2023. "City Transit Rider Tweets: Understanding Sentiments and Politeness," Journal of Urban Technology, Taylor & Francis Journals, vol. 30(1), pages 111-126, January.
  • Handle: RePEc:taf:cjutxx:v:30:y:2023:i:1:p:111-126
    DOI: 10.1080/10630732.2021.1903288
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10630732.2021.1903288
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/10630732.2021.1903288?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.

    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:cjutxx:v:30:y:2023:i:1:p:111-126. 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/cjut20 .

    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.