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To Share or Not to Share: Investigating Drivers for Sharing Online News Using Automated Machine Learning and Probabilistic Modeling Cover

To Share or Not to Share: Investigating Drivers for Sharing Online News Using Automated Machine Learning and Probabilistic Modeling

Cybernetics and Information Technologies
Volume 25 (2025): Issue 1 (March 2025)
By: Anton A. Gerunov  
Open Access
|Mar 2025

Authors

Anton A. Gerunov

a.gerunov@feb.uni-sofia.bg

Sofiq University “St. Kliment Ohridski”, Faculty of Economics and Business Administration, Sofia, Bulgaria
DOI: https://doi.org/10.2478/cait-2025-0003 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
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Language: English
Page range: 36 - 54
Submitted on: Dec 5, 2024
|
Accepted on: Feb 21, 2025
|
Published on: Mar 21, 2025
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
News sharing,
Viral content,
Machine learning,
AutoML,
Bayesian network
Related subjects:
Computer sciences,
Information technology

© 2025 Anton A. Gerunov, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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