Men deny more than they believe about climate change on Twitter (X)

30. Kirilenko AP, Stepchenkova SO. Public microblogging on climate change: One year of Twitter world- wide. Global environmental change. 2014 May 1; 26:171–82. 31. Pearce W, Holmberg K, Hellsten I, Nerlich B. Climate change on Twitter: Topics, communities and con- versations about the 2013 IPCC Working Group 1 report. PloS one. 2014 Apr 9; 9(4):e94785. https:// doi.org/10.1371/journal.pone.0094785 PMID: 24718388 32. Baylis P. Temperature and temperament: Evidence from Twitter. Journal of Public Economics. 2020 Apr 1; 184:104161. 33. Gustafson A., Rosenthal S.A., Ballew M.T. et al. The development of partisan polarization over the Green New Deal. Nat. Clim. Chang. 9, 940–944 (2019). https://doi.org/10.1038/s41558-019-0621-7 34. Dunlap R. E., & McCright A. M. (2011). Organized climate change denial. The Oxford Handbook of Cli- mate Change and Society, 144–160. https://doi.org/10.1093/oxfordhb/9780199566600.003.0010 35. Holmberg K, Hellsten I. Gender differences in the climate change communication on Twitter. Internet Research. 2015 Oct 5. 36. Dahal B, Kumar SA, Li Z. Topic modeling and sentiment analysis of global climate change tweets. Social Network Analysis and Mining. 2019 Dec; 9(1):1–20. 37. Effrosynidis D., Alexandros I. Karasakalidis, Georgios Sylaios, Arampatzis Avi(2022). The climate change Twitter dataset, Expert Systems with Applications, Elsevier, ISSN 0957-4174, https://doi.org/ 10.1016/j.eswa.2022.117541 38. Onubuogu G. C., & Esiobu N. S. (2014). Trends, perceptions and adaptation options of arable crop

farmers to climate change in Imo State, Nigeria: A logit multinomial model approach. World Journal of Agricultural Sciences, 2(5), 108–122. 39. Ripley B. and Venables W. (2023). Feed-Forward Neural Networks and Multinomial Log-Linear Models, http://www.stats.ox.ac.uk/pub/MASS4/ 40. UCLA (2021). Introduction to SAS. UCLA: Statistical Consulting Group, available on Multinomial Logis- tic Regression | R Data Analysis Examples (ucla.edu) (accessed August 22, 2022). 41. Effrosinidis et al (2022). The climate change Twitter dataset, https://doi.org/10.1016/j.eswa.2022. 117541 42. Arbuckle M., & Mercer M. (2020). Economic outlook and the gender gap in attitudes about climate change. Population and Environment, 41, 422–451. 43. BUSH SSCLAYTON A. Facing Change: Gender and Climate Change Attitudes Worldwide. American Political Science Review. 2023; 117(2):591–608. https://doi.org/10.1017/S0003055422000752 PLOS ONE Men deny climate change on Twitter PLOS ONE | https://doi.org/10.1371/journal.pone.0303007 February 13, 2025 9 / 9