This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Kümpel, A. S., V. Karnowski, T. Keyling. News Sharing in Social Media: A Review of Current Research on News Sharing Users, Content, and Networks. – Social Media + Society, Vol. 1, 2015, No 2, 2056305115610141.Search in Google Scholar
Berger, J., K. L. Milkman. What Makes Online Content Viral? – Journal of Marketing Research, Vol. 49, 2012, No 2, pp. 192-205.Search in Google Scholar
Hoewe, J., S. Parrott. The Power of Anger: How Emotions Predict Information Seeking and Sharing After a Presidential Election. – Atlantic Journal of Communication, Vol. 27, 2019, No 4, pp. 272-283.Search in Google Scholar
Cantwell, O., K. Kushlev. Anxiety Talking: Does Anxiety Predict Sharing Information about COVID-19? 2021.Search in Google Scholar
Wang, L., S. R. Fussell. More Than a Click: Exploring College Students’ Decision-Making Processes in Online News Sharing. – Proceedings of the ACM on Human-Computer Interaction (GROUP), Vol. 4, 2020, pp. 1-20.Search in Google Scholar
Wadbring, I., S. Ödmark. Going Viral: News Sharing and Shared News in Social Media. – OBS-Observatorio, Vol. 10, 2016, No 4, pp. 132-149.Search in Google Scholar
Thompson, N., X. Wang, P. Daya. Determinants of News Sharing Behavior on Social Media. – Journal of Computer Information Systems, 2019.Search in Google Scholar
Bobkowski, P. S. Sharing the News: Effects of Informational Utility and Opinion Leadership on Online News Sharing. – Journalism & Mass Communication Quarterly, Vol. 92, 2015, No 2, pp. 320-345.Search in Google Scholar
Ihm, J., E. M. Kim. The Hidden Side of News Diffusion: Understanding Online News Sharing as an Interpersonal Behavior. – New Media & Society, Vol. 20, 2018, No 11, pp. 4346-4365.Search in Google Scholar
Beam, M. A., M. J. Hutchens, J. D. Hmielowski. Clicking vs Sharing: The Relationship between Online News Behaviors and Political Knowledge. – Computers in Human Behavior, Vol. 59, 2016, pp. 215-220.Search in Google Scholar
Shi, Z., H. Rui, A. B. Whinston. Content Sharing in a Social Broadcasting Environment: Evidence from Twitter. – MIS Quarterly, Vol. 38, 2014, No 1 pp. 123-142.Search in Google Scholar
Sharma, A., D. Cosley. Studying and Modeling the Connection Between People’s Preferences and Content Sharing. – In: Proc. of 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, 2015, pp. 1246-1257.Search in Google Scholar
Scholz, C., M. Jovanova, E. C. Baek, E. B. Falk. Media Content Sharing as a Value-Based Decision. – Current Opinion in Psychology, Vol. 31, 2020, pp. 83-88.Search in Google Scholar
Hsiao, C. C. Understanding Content Sharing on the Internet: A Test of a Cognitive-Affective-Conative Model. – Online Information Review, 2020.Search in Google Scholar
Su, M. H., J. Liu, D. M. McLeod. Pathways to News Sharing: Issue Frame Perceptions and the Likelihood of Sharing. – Computers in Human Behavior, Vol. 91, 2019, pp. 201-210.Search in Google Scholar
Bhagat, S., D. J. Kim. Examining Users’ News Sharing Behavior on Social Media: Role of Perception of Online Civic Engagement and Dual Social Influences. – Behavior & Information Technology, 2022, pp. 1-22.Search in Google Scholar
Trilling, D., J. Kulshrestha, C. de Vreese, D. Halagiera, J. Jakubowski, J. Moeller, C. Vaccari. Is Sharing Just a Function of Viewing? – Predictors of Sharing Political and Non-Political News on Facebook. 2022.Search in Google Scholar
Prado-Romero, M. A., A. Coto-Santiesteban, A. Celi, G. Stilo. A Time-Sensitive Model to Predict Topic Popularity in News Providers. – Intelligent Data Analysis, Vol. 24, 2020, No S1, pp. 123-140.Search in Google Scholar
Meghawat, M., S. Yadav, D. Mahata, Y. Yin, R. R. Shah, R. Zimmermann. A Multimodal Approach to Predict Social Media Popularity. – In: IEEE Conference on Multimedia Information Processing and Retrieval (MIPR’18), IEEE, 2018, pp. 190-195.Search in Google Scholar
Manzoor, S. I., J. Singla. Fake News Detection Using Machine Learning Approaches: A Systematic Review. – In: 3rd IEEE International Conference on Trends in Electronics and Informatics (ICOEI’19), 2019, pp. 230-234.Search in Google Scholar
Gerunov, A. Performance of 109 Machine Learning Algorithms across Five Forecasting Tasks: Employee Behavior Modeling, Online Communication, House Pricing, IT Support, and Demand Planning. – Economic Studies, Vol. 31, 2022, No 2, pp. 15-43.Search in Google Scholar
Fernandes, K., P. Vinagre, P. Cortez. A Proactive Intelligent Decision Support System for Predicting the Popularity of Online News. – In: Portuguese Conference on Artificial Intelligence. Cham., Springer, 2015, pp. 535-546.Search in Google Scholar
Gerunov, A. Automated Approaches for Operational Risk Management. Sofia University “St. Kliment Ohridski”, 2020 (in Bulgarian).Search in Google Scholar
Blei, D. M., A. Y. Ng, M. I. Jordan. Latent Dirichlet Allocation. – Journal of Machine Learning Research, Vol. 3, January 2003, pp. 993-1022.Search in Google Scholar
Yue, L., W. Chen, X. Li, W. Zuo, M. Yin. A Survey of Sentiment Analysis in Social Media. – Knowledge and Information Systems, Vol. 60, 2019, pp. 617-663.Search in Google Scholar
Ratkiewicz, J., S. Fortunato, A. Flammini, F. Menczer, A. Vespignani. Characterizing and Modeling the Dynamics of Online Popularity. – Physical Review Letters, Vol. 105, 2010, No 15, 158701.Search in Google Scholar
Fernández-Delgado, M., E. Cernadas, S. Barro, D. Amorim. Do We Need Hundreds of Classifiers to Solve Real-World Classification Problems? – The Journal of Machine Learning Research, Vol. 15, 2014, No 1, pp. 3133-3181.Search in Google Scholar
He, X., K. Zhao, X. Chu. AutoML: A Survey of the State-of-the-Art. – Knowledge-Based Systems, Vol. 212, 2021, 106622.Search in Google Scholar
Yao, Q., M. Wang, Y. Chen, W. Dai, Y. F. Li, W. W. Tu,. Y. Yu. Taking Human out of Learning Applications: A Survey on Automated Machine Learning. – arXiv preprint arXiv:1810.13306, 2018.Search in Google Scholar
Hutter, F., L. Kotthoff, J. Vanschoren. Automated Machine Learning: Methods, Systems, Challenges. – In: Springer Nature Link, 2019, p. 219.Search in Google Scholar
LeDell, E., S. Poirier. H2O Autonomy: Scalable Automatic Machine Learning. – In: Proc. of AutoML Workshop at ICML, Vol. 2020, July 2020.Search in Google Scholar
R. G. Cowell, Ed. Probabilistic Networks and Expert Systems: Exact Computational Methods for Bayesian Networks. Springer Science & Business Media, 2006.Search in Google Scholar
Korb, K., A. E. Nicholson. Bayesian Artificial Intelligence. 2nd Edition, Chapman & Hall/CRC, 2010.Search in Google Scholar
Højsgaard, S. Graphical Independence Networks with the gRain Package for R. – Journal of Statistical Software, Vol. 46, 2012, No 10, pp. 1-26.Search in Google Scholar
Wang, C. H., H. Y. Cheng, Y. T. Deng. Using Bayesian Belief Network and Time-Series Model to Conduct Prescriptive and Predictive Analytics for Computer Industries. – Computers & Industrial Engineering, Vol. 115, 2018, pp. 486-494.Search in Google Scholar
Scutari, M., C. E. Graafland, J. M. Gutiérrez. Who Learns Better Bayesian Network Structures: Constraint-Based, Score-Based, or Hybrid Algorithms? – In: Proc. of International Conference on Probabilistic Graphical Models PMLR, August 2018, pp. 416-427.Search in Google Scholar
Gámez, J. A., J. L. Mateo, J. M. Puerta. Learning Bayesian Networks by Hill Climbing: Efficient Methods Based on Progressive Restriction of the Neighborhood. – Data Mining and Knowledge Discovery, Vol. 22, 2011, No 1, pp. 106-148.Search in Google Scholar
Gerunov, A. Networks of Risk. – In: Risk Analysis for the Digital Age. Cham, Springer International Publishing, 2022, pp. 115-156.Search in Google Scholar
LeDell, E., S. Poirier. H2O Autonomy: Scalable Automatic Machine Learning. – In: Proc. of AutoML Workshop at ICML, Vol. 2020, July 2020, San Diego, CA, USA, (ICML’20).Search in Google Scholar
Watson, J., S. van der Linden, M. Watson, D. Stillwell. Negative Online News Articles Are Shared More on Social Media. – Scientific Reports, Vol. 14, 2024, No 1, 21592.Search in Google Scholar
van der Meer, T. G., A. Brosius. Credibility and Shareworthiness of Negative News. – Journalism, Vol. 25, 2024, No 1, pp. 61-80.Search in Google Scholar
Mathews, N., V. Bélair-Gagnon, S. C. Lewis. News is “Toxic”: Exploring the Non-Sharing of News Online. – New Media & Society, Vol. 26, 2024, No 8, pp. 4629-4646.Search in Google Scholar
