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The online competition between pro- and anti-vaccination views 期刊论文
NATURE, 2020, 582 (7811) : 230-+
作者:  Wu, Fan;  Zhao, Su;  Yu, Bin;  Chen, Yan-Mei;  Wang, Wen;  Song, Zhi-Gang;  Hu, Yi;  Tao, Zhao-Wu;  Tian, Jun-Hua;  Pei, Yuan-Yuan;  Yuan, Ming-Li;  Zhang, Yu-Ling;  Dai, Fa-Hui;  Liu, Yi;  Wang, Qi-Min;  Zheng, Jiao-Jiao;  Xu, Lin;  Holmes, Edward C.;  Zhang, Yong-Zhen
收藏  |  浏览/下载:10/0  |  提交时间:2020/07/03

Insights into the interactions between pro- and anti-vaccination clusters on Facebook can enable policies and approaches that attempt to interrupt the shift to anti-vaccination views and persuade undecided individuals to adopt a pro-vaccination stance.


Distrust in scientific expertise(1-14) is dangerous. Opposition to vaccination with a future vaccine against SARS-CoV-2, the causal agent of COVID-19, for example, could amplify outbreaks(2-4), as happened for measles in 2019(5,6). Homemade remedies(7,8) and falsehoods are being shared widely on the Internet, as well as dismissals of expert advice(9-11). There is a lack of understanding about how this distrust evolves at the system level(13,14). Here we provide a map of the contention surrounding vaccines that has emerged from the global pool of around three billion Facebook users. Its core reveals a multi-sided landscape of unprecedented intricacy that involves nearly 100 million individuals partitioned into highly dynamic, interconnected clusters across cities, countries, continents and languages. Although smaller in overall size, anti-vaccination clusters manage to become highly entangled with undecided clusters in the main online network, whereas pro-vaccination clusters are more peripheral. Our theoretical framework reproduces the recent explosive growth in anti-vaccination views, and predicts that these views will dominate in a decade. Insights provided by this framework can inform new policies and approaches to interrupt this shift to negative views. Our results challenge the conventional thinking about undecided individuals in issues of contention surrounding health, shed light on other issues of contention such as climate change(11), and highlight the key role of network cluster dynamics in multi-species ecologies(15).


  
Hard or soft flood adaptation? Advantages of a hybrid strategy for Shanghai 期刊论文
GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS, 2020, 61
作者:  Du, Shiqiang;  Scussolini, Paolo;  Ward, Philip J.;  Zhang, Min;  Wen, Jiahong;  Wang, Luyang;  Koks, Elco;  Diaz-Loaiza, Andres;  Gao, Jun;  Ke, Qian;  Aerts, Jeroen C. J. H.
收藏  |  浏览/下载:12/0  |  提交时间:2020/07/02
Climate change  Nonstationarity  Coastal flood  Risk management  Cost-benefit analysis  
Spatial differentiation of heritage trees in the rapidly-urbanizing city of Shenzhen, China 期刊论文
LANDSCAPE AND URBAN PLANNING, 2019, 181: 148-156
作者:  Lai, Po Ying;  Jim, C. Y.;  Da Tang, Guang;  Hong, Wen Jun;  Zhang, Hao
收藏  |  浏览/下载:8/0  |  提交时间:2019/04/09
Heritage tree  Urban tree  Tree habitat  Floristic diversity  Tree conservation  Town plan  
Enhanced agricultural sustainability through within-species diversification 期刊论文
NATURE SUSTAINABILITY, 2019, 2 (1) : 46-52
作者:  Yang, Li-Na;  Pan, Zhe-Chao;  Zhu, Wen;  Wu, E-Jiao;  He, Dun-Chun;  Yuan, Xiao;  Qin, Yan-Yu;  Wang, Ying;  Chen, Ruey-Shyang;  Thrall, Peter H.;  Burdon, Jeremy J.;  Shang, Li-Ping;  Sui, Qi-Jun;  Zhan, Jiasui
收藏  |  浏览/下载:6/0  |  提交时间:2020/08/19
Does government ideology affect environmental pollutions? New evidence from instrumental variable quantile regression estimations 期刊论文
ENERGY POLICY, 2018, 113: 386-400
作者:  Chang, Chun-Ping;  Wen, Jun;  Dong, Minyi;  Hao, Yu
收藏  |  浏览/下载:11/0  |  提交时间:2019/04/09
Government ideology  Environmental pollutions  Quantile regression  Panel data