IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-032-09332-5_16.html

How Artificial Intelligence Will Affect Financial Social Media

In: Financial Social Media

Author

Listed:
  • Ying Zhang

    (Fairfield University)

Abstract

The integration of Artificial Intelligence (AI hereafter) into financial social media (FSM hereafter) is fundamentally transforming the way people consume, analyze, and act on financial information. From AI-powered chatbots and automated news aggregators to sophisticated sentiment analysis tools and algorithmic trading signals, AI is reshaping user interactions, enhancing efficiency, and democratizing access to financial insights. FSM platforms have long played a crucial role in shaping market sentiment, with discussions, rumors, and breaking news influencing asset prices and investor behavior. Now, AI is amplifying this impact by processing vast amounts of financial data in real time, identifying trends, and delivering hyper-personalized content to users based on their preferences and investment behaviors.

Suggested Citation

  • Ying Zhang, 2026. "How Artificial Intelligence Will Affect Financial Social Media," Springer Books, in: Financial Social Media, edition 0, chapter 16, pages 295-311, Springer.
    • Handle: RePEc:spr:sprchp:978-3-032-09332-5_16
    DOI: 10.1007/978-3-032-09332-5_16
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    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:spr:sprchp:978-3-032-09332-5_16. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.