Public Opinion in Conflict Situations: A Sentiment Analysis of Tweets About Russia During the War on Ukraine

References

• Al Lily, A. E., and A. A. Alhazmi. 2022. “Can People Be Managed Through Fear? An Enquiry into Arab Culture.” Behavioral Sciences 12 (10): 1–17. https://doi.org/10.3390/bs12100352.
   Google Scholar
• Al Maruf, A., Z. M. Ziyad, M. M. Haque, and F. Khanam. 2022. “Emotion Detection from Text and Sentiment Analysis of Ukraine Russia War Using Machine Learning Technique.” International Journal of Advanced Computer Science & Applications 13 (12): 868–882. https://doi.org/10.14569/IJACSA.2022.01312101.
   Google Scholar
• Al-Natour, S., and O. Turetken. 2020. “A Comparative Assessment of Sentiment Analysis and Star Ratings for Consumer Reviews.” International Journal of Information Management 54 (October): 102132. https://doi.org/10.1016/j.ijinfomgt.2020.102132.
   Google Scholar
• Banka, A., and M. Bussmann. 2023. “Uncomfortable Neighbors: NATO, Russia and the Shifting Logic of Military Exercises in the Baltics.” Defence Studies 23 (1): 1–24. https://doi.org/10.1080/14702436.2022.2089657.
   Google Scholar
• Basabe, N., D. Paez, J. Valencia, J. L. Gonzalez, B. Rimé, and E. Diener. 2002. “Cultural Dimensions, Socio-Economic Development, Climate and Emotional Hedonic Level.” Cognition & Emotion 16 (1): 103–125. https://doi.org/10.1080/02699930143000158.
   Web of Science ®Google Scholar
• Basabe, N., and J. Valencia. 2007. “Culture of Peace: Sociostructural Dimensions, Cultural Values, and Emotional Climate.” The Journal of Social Issues 63 (2): 405–419. https://doi.org/10.1111/j.1540-4560.2007.00516.x.
   Google Scholar
• Berinsky, A. J. 2017. “Measuring Public Opinion with Surveys.” Annual Review of Political Science 20:309–329. https://doi.org/10.1146/annurev-polisci-101513-113724.
   Web of Science ®Google Scholar
• Berinsky, A. J. 2019. In Time of War: Understanding American Public Opinion from World War II to Iraq. Chicago, Illinois (USA): University of Chicago Press.
   Google Scholar
• Berinsky, A. J., and J. N. Druckman. 2007. “The Polls-Review: Public Opinion Research and Support for the Iraq War.” Public Opinion Quarterly 71 (1): 126–141. https://doi.org/10.1093/poq/nfl049.
   Web of Science ®Google Scholar
• Beugelsdijk, S., T. Kostova, and K. Roth. 2017. “An Overview of Hofstede-Inspired Country-Level Culture Research in International Business Since 2006.” Journal of International Business Studies 48 (1): 30–47. https://doi.org/10.1057/s41267-016-0038-8.
   Web of Science ®Google Scholar
• Boettcher, W. A. 2007. “Failing to Win: Perceptions of Victory and Defeat in International Politics.” Perspectives on Politics 5 (4): 865–866. https://doi.org/10.1017/S1537592707072714.
   Google Scholar
• Calma, J. 2023. “Twitter Just Closed the Book on Academic Research.” The Verge. https://www.theverge.com/2023/5/31/23739084/twitter-elon-musk-api-policy-chilling-academic-research.
   Google Scholar
• Chen, K., Z. Duan, and S. Yang. 2022. “Twitter as Research Data: Tools, Costs, Skill Sets, and Lessons Learned.” Politics and the Life Sciences 41 (1): 114–130. https://doi.org/10.1017/pls.2021.19.
   Google Scholar
• Chianeh, R. H., G. D. Chiappa, and V. Ghasemi. 2020. “Cultural and Religious Tourism Development in Iran: Prospects and Challenges.” Anatolia 204–2014. https://doi.org/10.1080/13032917.2017.1414439.
   Google Scholar
• Chopik, W. J., E. O’Brien, and S. H. Konrath. 2017. “Differences in Empathic Concern and Perspective Taking Across 63 Countries.” Journal of Cross-Cultural Psychology 48 (1): 23–38. https://doi.org/10.1177/0022022116673910.
   Web of Science ®Google Scholar
• Chouhan, K., M. Yadav, R. Kumar Rout, N. J. Kshira Sagar Sahoo, M. Masud, and S. Aljahdali. 2023. “Sentiment Analysis with Tweets Behaviour in Twitter Streaming API.” Computer Systems Science and Engineering 45 (2): 1113–1128. https://doi.org/10.32604/csse.2023.030842.
   Google Scholar
• Cody, E. M., A. J. Reagan, P. Sheridan Dodds, and C. M. Danforth. 2016. “Public Opinion Polling with Twitter.” Ithaca, NY (USA): Cornell University. arXiv preprint arXiv:1608.02024. https://doi.org/10.48550/arXiv.1608.02024.
   Google Scholar
• Conrad, F. G., J. A. Gagnon-Bartsch, R. A. Ferg, M. F. Schober, J. Pasek, and E. Hou. 2021. “Social Media as an Alternative to Surveys of Opinions About the Economy.” Social science computer review 39 (4): 489–508. https://doi.org/10.1177/0894439319875692.
   Google Scholar
• Couper, M. P., and E. D. de Leeuw. 2003. “Nonresponse in Cross-Cultural and Cross-National Surveys.” Cross-Cultural Survey Methods, edited by Janet Harkness, Fons van de Vijver, and Peter Ph. Mohler. chapter 11, 157–177. New York: Wiley.
   Google Scholar
• Duan, C., M. Wei, and L. Wang. 2008. “The Role of Individualism-Collectivism in Empathy: An Exploratory Study.” Asian Journal of Counselling 15 (1): 57–81.
   Google Scholar
• Ebert, S., N. T. Vu, and H. Schütze. 2015. “A Linguistically Informed Convolutional Neural Network.” Paper presented at the 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Lisbon (Portugal), 109–114.
   Google Scholar
• Elron, E., B. Shamir, and E. Ben-Ari. 1999. “Why Don’t They Fight Each Other? Cultural Diversity and Operational Unity in Multinational Forces.” Armed Forces & Society 26 (1): 73–97. https://doi.org/10.1177/0095327x9902600105.
   Web of Science ®Google Scholar
• Fisher, A. 2020. “A New Cold War? International Public Opinion of Russia and the United States.” International Journal of Public Opinion Research 32 (1): 143–152. https://doi.org/10.1093/ijpor/edz003.
   Google Scholar
• Franklin, A. L., and J. C. N. Raadschelders. 2023. “Government Culture and Climate.” In Introduction to Governance, Government and Public Administration, 57–82. Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-32689-9_4.
   Google Scholar
• Gerdesics, V. 2013. “Welcome to the European Union - Croatian Country Image in Hungary.” International Conference Interdisciplinary Management Research IX, Osijek, Horvátország, edited by U. Bacher, D.Barkovic, K. Dernoscheg, M. M. Lamza, B. Matic, N. Pap, and B. Runzheimer, 357–367. Josip Juraj Strossmayer University of Osijek, Faculty of Economics.
   Google Scholar
• Guisinger, A., and E. N. Saunders. 2017. “Mapping the Boundaries of Elite Cues: How Elites Shape Mass Opinion Across International Issues.” International Studies Quarterly 61 (2): 425–441. https://doi.org/10.1093/isq/sqx022.
   Web of Science ®Google Scholar
• Heemsbergen, L. J., and S. Lindgren. 2014. “The Power of Precision Air Strikes and Social Media Feeds in the 2012 Israel–Hamas Conflict: ‘Targeting Transparency’.” Australian Journal of International Affairs 68 (5): 569–591. https://doi.org/10.1080/10357718.2014.922526.
   Web of Science ®Google Scholar
• Henderson, M., K. Jiang, M. Johnson, and L. Porter. 2021. “Measuring Twitter Use: Validating Survey-Based Measures.” Social Science Computer Review 39 (6): 1121–1141. https://doi.org/10.1177/0894439319896244.
   Google Scholar
• Hofstede, G., G. J. Hofstede, and M. Minkov. 2010. Cultures and Organizations: Software of the Mind. Revised and expanded 3rd ed. New York: McGraw-Hill.
   Google Scholar
• Hofstede Insights. 2022. https://www.hofstede-insights.com/product/compare-countries/.
   Google Scholar
• Hutto, C., and E. Gilbert. 2014. “VADER: A Parsimonious Rule-Based Model for Sentiment Analysis of Social Media Text.” Paper presented at the Eighth International Conference on Weblogs and Social Media, Ann Arbor, Michigan USA, 216–225.
   Google Scholar
• ITU. 2023. “Internet Use in Urban and Rural Areas.” Facts and Figures. https://www.itu.int/itu-d/reports/statistics/2023/10/10/ff23-internet-use-in-urban-and-rural-areas/.
   Google Scholar
• Kang, T., D.-H. Park, and I. Han. 2018. “Beyond the Numbers: The Effect of 10-K Tone on Firms’ Performance Predictions Using Text Analytics.” Telematics and Informatics 35 (2): 370–381. https://doi.org/10.1016/j.tele.2017.12.014.
   Google Scholar
• Karami, A., M. Lundy, F. Webb, and Y. K. Dwivedi. 2020. “Twitter and Research: A Systematic Literature Review Through Text Mining.” Institute of Electrical and Electronics Engineers Access 8:67698–67717. https://doi.org/10.1109/ACCESS.2020.2983656.
   Google Scholar
• Kariya, C., and P. Khodke. 2020. “Twitter Sentiment Analysis.” Paper presented at the 2020 International Conference for Emerging Technology (INCET), Belgaum, India, 1–3.
   Google Scholar
• Maathuis, C., and I. Kerkhof. 2023. “The First Two Months in the War in Ukraine Through Topic Modeling and Sentiment Analysis.” Regional Science Policy & Practice 15 (1): 56–74. https://doi.org/10.1111/rsp3.12632.
   Google Scholar
• Malul, M., and A. Shoham. 2006. “The Role of Culture and Economic Variables in Wars and Coups.” Peace Economics Peace Science and Public Policy 12 (1): 83–91. https://doi.org/10.2202/1554-8597.1096.
   Google Scholar
• McCormick, T. H., H. Lee, N. Cesare, A. Shojaie, and E. S. Spiro. 2017. “Using Twitter for Demographic and Social Science Research: Tools for Data Collection and Processing.” Sociological Methods & Research 46 (3): 390–421. https://doi.org/10.1177/0049124115605339.
   PubMed Web of Science ®Google Scholar
• McGorry, S. Y. 2000. “Measurement in a Cross‐Cultural Environment: Survey Translation Issues.” Qualitative Market Research: An International Journal 3 (2): 74–81. https://doi.org/10.1108/13522750010322070.
   Google Scholar
• Metzger, M. M., R. Bonneau, J. Nagler, and J. A. Tucker. 2016. “Tweeting Identity? Ukrainian, Russian, and #euromaidan.” Journal of Comparative Economics 44 (1): 16–40. https://doi.org/10.1016/j.jce.2015.12.004.
   Web of Science ®Google Scholar
• Noor, S., Y. Guo, S. H. Shah, M. S. Nawaz, and A. S. Butt. 2020. “Research Synthesis and Thematic Analysis of Twitter Through Bibliometric Analysis.” International Journal on Semantic Web and Information Systems (IJSWIS) 16 (3): 88–109. https://doi.org/10.4018/IJSWIS.2020070106.
   Google Scholar
• Prusakiewicz, C., and K. McGarry. 2023. “Quantitative Approach of Geospatial Sentiment Analysis to Reveal Opinions on the War in Ukraine.” In Artificial Intelligence XL, edited by M. Bramer and F. Stahl, 293–306. Cham: Springer. https://doi.org/10.1007/978-3-031-47994-6_28.
   Google Scholar
• Rahman, A., M. Sadat, and S. Saeed Siddik. 2021. “Sentiment Analysis on Twitter Data: Comparative Study on Different Approaches.” International Journal of Intelligent Systems & Applications 13 (4): 1–13. https://doi.org/10.5815/ijisa.2021.04.01.
   Google Scholar
• RSF (Reporters Without Borders). 2023. Clasificación Mundial de la Libertad de Prensa RSF. https://www.rsf-es.org/clasificacion-mundial-de-la-libertad-de-prensa-rsf-2023-tabla-de-paises/.
   Google Scholar
• Soares, A. M., M. Farhangmehr, and A. Shoham. 2007. “Hofstede’s Dimensions of Culture in International Marketing Studies.” Journal of Business Research 60 (3): 277–284. https://doi.org/10.1016/j.jbusres.2006.10.018.
   Web of Science ®Google Scholar
• Soeters, J. L. 1996. “Culture and Conflict: An Application of Hofstede’s Theory to the Conflict in the Former Yugoslavia.” Peace and Conflict: Journal of Peace Psychology 2 (3): 233–244. https://doi.org/10.1207/s15327949pac0203_4.
   Google Scholar
• Spangler, E., and B. Smith. 2022. “Let Them Tweet Cake: Estimating Public Dissent Using Twitter.” Defence and Peace Economics 33 (3): 327–346. https://doi.org/10.1080/10242694.2020.1865042.
   Google Scholar
• Stewart, B. 2017. “Twitter as Method: Using Twitter as a Tool to Conduct Research.”In The SAGE Handbook of Social Media Research Methods 251–265. https://doi.org/10.4135/9781473983847.n16.
   Google Scholar
• Tsugawa, S., and H. Ohsaki. 2017. “On the Relation Between Message Sentiment and Its Virality on Social Media.” Social Network Analysis and Mining 7:1–14. https://doi.org/10.1007/s13278-017-0439-0.
   Google Scholar
• United Nations Digital Library. 2022. “Aggression Against Ukraine: Resolution/Adopted by the General Assembly.” https://digitallibrary.un.org/record/3959039.
   Google Scholar
• Vidya, N. A., M. I. Fanany, and I. Budi. 2015. “Twitter Sentiment to Analyze Net Brand Reputation of Mobile Phone Providers.” Procedia Computer Science 72:519–526. https://doi.org/10.1016/j.procs.2015.12.159.
   Google Scholar
• Vogler, D. 2020. “Analyzing Reputation of Swiss Universities on Twitter–The Role of Stakeholders, Content and Sources.” Corporate Communications: An International Journal 25 (3): 429–445. https://doi.org/10.1108/ccij-04-2019-0043.
   Google Scholar
• Weitzel, L., R. Cristiano Prati, and R. Freire Aguiar. 2016. “In The Comprehension of Figurative Language: What is the Influence of Irony and Sarcasm on NLP Techniques?” Sentiment Analysis and Ontology Engineering. 49–74. https://doi.org/10.1007/978-3-319-30319-2_3.
   Google Scholar
• World Population Review. 2023a. “Total Population by Country.” https://worldpopulationreview.com/countries.
   Google Scholar
• World Population Review. 2023b. “Twitter Users by County.” https://worldpopulationreview.com/country-rankings/twitter-users-by-country.
   Google Scholar
• Zhou, Y., and J.-W. Kwon. 2020. “Overview of Hofstede-Inspired Research Over the Past 40 Years: The Network Diversity Perspective.” Sage Open 10 (3): 1–17. https://doi.org/10.1177/2158244020947425.
   Google Scholar