Explainable assessment of financial experts’ credibility by classifying social media forecasts and checking the predictions with actual market data-Reference-Cited by-同舟云学术

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Explainable assessment of financial experts’ credibility by classifying social media forecasts and checking the predictions with actual market data

Published:2024-12 Issue: Volume:255 Page:124515
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

García-Méndez Silvia^ORCID,de Arriba-Pérez Francisco^ORCID,González-González Jaime^ORCID,González-Castaño Francisco J.^ORCID

Funder

Gobierno de España Ministerio de Ciencia e Innovación

Xunta de Galicia Conselleria de Cultura e Turismo

Ministerio de Ciencia e Innovación

Xunta de Galicia

Publisher

Elsevier BV

Reference43 articles.

1. Reputation measurement based on a hybrid sentiment analysis approach for saudi telecom companies;Abdullah;International Journal of Advanced Computer Science and Applications,2021

2. CredSaT: Credibility ranking of users in big social data incorporating semantic analysis and temporal factor;Abu-Salih;Journal of Information Science,2019

3. Trustworthy artificial intelligence: A decision-making taxonomy of potential challenges;Akbar;Software - Practice and Experience,2023

4. Novel hybrid model for organizations’ reputation in online social networks;Al-Yazidi;Journal of King Saud University: Computer and Information Sciences,2022

5. Reputation-based credibility analysis of Twitter social network users;Alrubaian;Concurrency Computation Practice and Experience,2017

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