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(27) Loris Belcastro et al., “Analyzing Voter Behavior on Social Media During the 2020 US Presidential Election Campaign,” Social Network Analysis and Mining, Vol. 12, No. 1, (2022): 83. (28) Ibid. (29) Riccardo Cantini et al., “Learning Sentence-to-Hashtags Semantic Mapping for Hashtag Recommendation on Microblogs,” ACM Transactions on Knowledge Discovery from Data, Vol. 16, No. 2 (2021): 1-26. (30) “Social Network Analysis 101,” op. cit. (31) Meeyoung Cha et al., “Measuring User Influence in Twitter: The Million Follower Fallacy,” Association for the Advancement of Artificial Intelligence, Vol. 4, No. 1, (2010). “accessed May 27, 2025”. https://tinyurl.com/3kzsyn68. (32) “Social Network Analysis 101,” op. cit. (33) Francis Bloch et al., “Centrality Measures in Networks,” SSRN, (February 2023), “accessed May 27, 2025”. https://tinyurl.com/3ed4b6xc. (34) Phillip Bonacich, Paulette, “Eigenvector-like Measures of Centrality for Asymmetric Relations,” Social Networks, Vol. 23, No. 3 (July 2001): 191- 201. (35) Ibid. (36) Man Hung et al., “Social Network Analysis of COVID-19 Sentiments: Application of Artificial Intelligence,” Journal of Medical Internet Research, Vol. 22, No. 8, (2020): e22590. (37) Nirmal Varghese Babu, E. Grace Mary Kanaga, “Sentiment Analysis in Social Media Data for Depression Detection Using Artificial Intelligence: A Review,” SN Computer Science, Vol. 3, No. 1, (2022): 74. (38) Ibid. (39) Donata Francescato, “Globalization, Artificial Intelligence, Social Networks and Political Polarization: New Challenges for Community Psychologists,” Community Psychology in Global Perspective, Vol. 4, No. 1, (2018): 20. (40) Sergey Volodenkov et al., “Risks, Threats, and Challenges of Introducing Artificial Intelligence and Neural Network Algorithms into the Contemporary System of Socio-Political Communications: The Results of Expert Study,” Rund Journal of Political Science, Vol. 26, No. 2 (2024): 406-424.
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