Climate-denying rumor propagation in a coupled socio-climate model: Impact on average global temperature
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25. Osbahr H, Davies M, Stringer LC. Climate change adaptation and livelihoods in the semi-arid zones of Zimbabwe. Appl Geogr. 2011; 31(4):1176–84. PLOS ONE Climate-denying rumor propagation in a coupled socio-climate model: Impact on average global temperature PLOS ONE | https://doi.org/10.1371/journal.pone.0317338 January 16, 2025 16 / 18
26. Galvani AP, Bauch CT, Anand M, Singer BH, Levin SA. Human–environment interactions in population and ecosystem health. Proc Natl Acad Sci USA. 2016; 113(51):14502–6. https://doi.org/10.1073/pnas. 1618138113 PMID: 27956616 27. Bury TM, Bauch CT, Anand M. Charting pathways to climate change mitigation in a coupled socio-cli- mate model. PLoS Comput Biol. 2019; 15(6):e1007000. https://doi.org/10.1371/journal.pcbi.1007000 PMID: 31170149 28. Davis-Sowers R. Under the Influence: Putting Peer Pressure to Work. Int Soc Sci Rev. 2020; 96(2):1. 29. Leila N, Kiesewetter G, Wagner F, Scho¨pp W, Filatova T, Voinov A, et al. Assessing the macroeco- nomic impacts of individual behavioral changes on carbon emissions. Clim Change. 2019. 30. Wynes S, Nicholas KA, Zhao J, Donner SD. Measuring what works: quantifying greenhouse gas emis- sion reductions of behavioural interventions to reduce driving, meat consumption, and household energy use. Environ Res Lett. 2018. https://doi.org/10.1088/1748-9326/aae5d7 31. Khanna T, Baiocchi G, Callaghan M, Creutzig F, Guias H, Haddaway NR, et al. A multi-country meta- analysis on the role of behavioural change in reducing energy consumption and CO2 emissions in resi- dential buildings. Nat Energy. 2021. https://doi.org/10.1038/s41560-021-00866-x 32. van de Ven DJ, Gonza´lez-Eguino M, Arto I. The potential of behavioural change for climate change miti- gation: a case study for the European Union. Mitig Adapt Strateg Glob Change. 2018; 23(6):853–886. https://doi.org/10.1007/s11027-017-9763-y
33. Weber EU. What shapes perceptions of climate change? WIREs Clim Chang. 2010; 1(3):332–42. https://doi.org/10.1002/wcc.41 34. Hargreaves T. Practice-ing behaviour change: Applying social practice theory to pro-environmental behaviour change. J Consum Cult. 2011; 11(1):79–99. https://doi.org/10.1177/1469540510390500 35. Schlu¨ ter M, Baeza A, Dressler G, Frank K, Groeneveld J, Jager WA, et al. A framework for mapping and comparing behavioural theories in models of social-ecological systems. Ecol Econ. 2017; 131:21– 35. https://doi.org/10.1016/j.ecolecon.2016.08.008 36. Taylor KE, Stouffer RJ, Meehl GA. An overview of CMIP5 and the experiment design. Bull Am Meteorol Soc. 2012; 93(4):485–98. https://doi.org/10.1175/BAMS-D-11-00094.1 37. Menard J, Bury TM, Bauch CT, Anand M. When conflicts get heated, so does the planet: coupled social-climate dynamics under inequality. Proc R Soc B. 2021; 288(1959):20211357. https://doi.org/10. 1098/rspb.2021.1357 PMID: 34521252 38. Thornton PE, Calvin K, Jones AD, Di Vittorio AV, Bond-Lamberty B, Chini L, Shi X, et al. Biospheric feedback effects in a synchronously coupled model of human and Earth systems. Nat Clim Chang. 2017; 7(7):496–500. https://doi.org/10.1038/nclimate3310 39. Clarke L, Eom J, Marten EH, Horowitz R, Kyle P, Link R, et al. Effects of long-term climate change on global building energy expenditures. Energy Econ. 2018; 72:667–77. https://doi.org/10.1016/j.eneco. 2018.01.003 40. Nordhaus W. Evolution of modeling of the economics of global warming: changes in the DICE model,
1992-2017. Clim Chang. 2018; 148(4):623–40. https://doi.org/10.1007/s10584-018-2218-y 41. Nordhaus W. Climate change: The ultimate challenge for economics. Am Econ Rev. 2019; 109 (6):1991–2014. https://doi.org/10.1257/aer.109.6.1991 42. Hoffman AJ. Climate change as a cultural and behavioral issue: Addressing barriers and implementing solutions. Organ Dyn. 2010; 39(4):295–305. https://doi.org/10.1016/j.orgdyn.2010.07.005 43. McCright AM, Dunlap RE, Xiao C. Increasing influence of party identification on perceived scientific agreement and support for government action on climate change in the United States, 2006-12. Weather Clim Soc. 2014; 6(2):194–201. https://doi.org/10.1175/WCAS-D-13-00058.1 44. Wilkins A. Machine-learning ensembled CMIP6 projection reveals socio-economic pathways will aggra- vate global warming and precipitation extremes. Hydrol Earth Syst Sci. 2022. 45. Wu H. SCWIR: A rumor propagation model considering user waiting behavior. 2024. 46. Huo L, Dong Y, Lin T. Rumor spreading model with a focus on educational impact and optimal control. Chinese Phys B. 2021. 47. Li D. Rumor spreading model with a focus on educational impact and optimal control. 2023. 48. Daley DJ, Kendall DG. Epidemics and rumours. Nature. 1964; 204:1118. https://doi.org/10.1038/ 2041118a0 PMID: 14243408 49. Myilsamy K, Kumar MS, Kumar AS. Optimal control of a rumor model with group propagation over com- plex networks. Int J Mod Phys C. 2021; 32(03):2150035. https://doi.org/10.1142/S0129183121500352
50. Whitmarsh L. Behavior and climate change: The role of social norms. In: Climate Change and Society: Approaches to Understanding and Influencing Human Behavior. Routledge; 2009. p. 66–87. PLOS ONE Climate-denying rumor propagation in a coupled socio-climate model: Impact on average global temperature PLOS ONE | https://doi.org/10.1371/journal.pone.0317338 January 16, 2025 17 / 18
51. Mazid MA, Zarnaz Z. Climate change myths detection using dynamically weighted ensemble based stance classifier. 2022. 52. Meddeb P, Ruseti S, Dascalu M, Terian S, Travadel S. Counteracting French fake news on climate change using language models. Sustainability. 2022; 14(18):11724. https://doi.org/10.3390/ su141811724 53. Taddicken M, Wolff LJ. Climate change-related counter-attitudinal fake news exposure and its effects on search and selection behavior. 2023. https://doi.org/10.1055/s-0043-1761499 PMID: 36750219 54. Rosa K. Influence of media framing on public perception of climate change. J Commun. 2024. 55. Millar RJ, Nicholls ZR, Friedlingstein P, Allen MR. A modified impulse-response representation of the global near-surface air temperature and atmospheric concentration response to carbon dioxide emis- sions. Atmos Chem Phys. 2017; 17(11):7213–7228. https://doi.org/10.5194/acp-17-7213-2017 56. Friedlingstein P, O’Sullivan M, Jones MW, Andrew RM, Hauck J, Olsen A, et al. Global carbon budget 2020. Earth Syst Sci Data. 2020; 12(4):3269–3340. https://doi.org/10.5194/essd-12-3269-2020 57. Minter A, Retkute R. Approximate Bayesian Computation for infectious disease modelling. Epidemics. 2019; 29:100368. https://doi.org/10.1016/j.epidem.2019.100368 PMID: 31563466 58. Sunnaaker M, Busetto AG, Numminen E, Corander J, Foll M, Dessimoz C. Approximate Bayesian com- putation. PLoS Comput Biol. 2013; 9(1):e1002803. https://doi.org/10.1371/journal.pcbi.1002803 59. Beckage B, Gross LJ, Lacasse K, Carr E, Metcalf SS, Winter JM, et al. Linking models of human behav-
iour and climate alters projected climate change. Nat Clim Chang. 2018; 8(1):79–84. https://doi.org/10. 1038/s41558-017-0031-7 60. Beckage B, Moore FC, Lacasse K. Incorporating human behaviour into Earth system modelling. Nat Hum Behav. 2022;1–10. PMID: 36385182 61. Wen S, Haghighi MS, Chen C, Xiang Y, Zhou W, Jia W. A sword with two edges: Propagation studies on both positive and negative information in online social networks. IEEE Trans Comput. 2014; 64 (3):640–53. https://doi.org/10.1109/TC.2013.2295802 62. Roets A, et al. ‘Fake news’: Incorrect, but hard to correct. The role of cognitive ability on the impact of false information on social impressions. Intelligence. 2017; 65:107–10. https://doi.org/10.1016/j.intell. 2017.10.005 63. Sahafizadeh E, Ladani BT. The impact of group propagation on rumor spreading in mobile social net- works. Physica A: Stat Mech Appl. 2018; 506:412–23. https://doi.org/10.1016/j.physa.2018.04.038 64. Youssef M, Scoglio C. An individual-based approach to SIR epidemics in contact networks. J Theor Biol. 2011; 275(1):112–22. PMID: 21663750 65. Kessler JA, McGowan R, Paulson E. Exploring nonlinear dynamical systems for modeling the impact of climate policy on economic growth. J Econ Dyn Control. 2022; 139:104459. 66. Houghton JT. Global warming: The complete briefing. Cambridge University Press; 1997. 67. Cook J. Understanding and countering misinformation about climate change. Information Science Ref- erence/IGI Global; 2019. PLOS ONE Climate-denying rumor propagation in a coupled socio-climate model: Impact on average global temperature
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