Skip to content
  • Have a Question? E-mail : conference.icess@ase.ro

Submit your abstractSubmit your abstract
  • Have a Question? Contact us : conference.icess@ase.ro

  • About
    • Conference Timeline
    • Keynote Speakers
    • Minitracks
    • Program
    • Partners
  • Registration
    • Abstract / Paper Submission
    • Paper Template
    • Review Process
    • Fees & Payment
  • Committees
    • Organizing Committee
    • Scientific Committee
  • Publication Opportunities
    • Indexing
    • Awards
  • Archive
    • ICESS 2022
    • ICESS 2023
    • ICESS 2024
  • Proceedings Volumes
    • Proceedings Volume 2019
    • Proceedings Volume 2020
    • Proceedings Volume 2021
    • Proceedings Volume 2022
    • Proceedings Volume 2023
    • Proceedings Volume 2024
  • Contact

A Study of Consumer Trust in Online Reviews and Social Media Comments in the Age of Artificial Intelligence

Proceedings

A Study of Consumer Trust in Online Reviews and Social Media Comments in the Age of Artificial Intelligence

Proceedings

Cite this:
TANASE, I., & BARBU, L. N. (2024). A Study of Consumer Trust in Online Reviews and Social Media Comments in the Age of Artificial Intelligence. In Proceedings of the International Conference on Economics and Social Sciences. The International Conference on Economics and Social Sciences. Editura ASE. https://doi.org/10.24818/icess/2024/092

092 A Study of Consumer Trust in Online Reviews and Social Media Comments in the Age of Artificial Intelligence 1062-1075

Read also:

  • SMEs Representatives’ Perceptions of Corporate Governance-Performance Relationship. Evidence from an Emerging Economy

  • Exploring the Dynamics of Junk Bonds and Green Bonds in Financial Markets

  • The Evolution of Female Leadership Research: A Bibliometric Review of Publications over the Past 20 Years

  • The Evolution and Impact of Digital Transformation on Internal Audit and Managerial Control in Public Institutions

  • Navigating Online Success: Assessing the Impact of Google and Meta Ads on a Family-Owned Pharmacy Chain in Romania

  • Bayesian Symbolic Regression and Other Similar Methods as a Tool for Forecasting Commodities Prices

  • Using Machine Learning to Model Bankruptcy Risk in Listed Companies

Previous111213Next

The 8th ICESS
5-6 June 2025

Submit your abstractSubmit your abstract
Publication.

ICESS publication uses the Meteor submission and review system.

Get in touch.

conference.icess@ase.ro

+4 021 319.19.00
+4 021 319.19.01 – int 134

Bucharest University of Economic Studies

Piața Romană No.6 | Bucharest | Romania

© 2012 - 2025 • Bucharest University of Economic Studies

Page load link
Go to Top