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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  
4-quinolone derivatives: Synthesis and antitumor activity 期刊论文
SCIENCE, 2018, 360 (6387) : 20-23
作者:  Shen, Chao;  Xu, Jun;  Xia, Chengcai;  Yang, Yong;  Shen, Hongyun;  Ying, Beibei;  Zhu, Xiaolei;  Zhang, Pengfei
收藏  |  浏览/下载:8/0  |  提交时间:2019/11/27
Energy efficiency, carbon emission performance, and technology gaps: Evidence from CDM project investment 期刊论文
ENERGY POLICY, 2018, 115: 119-130
作者:  Zhang, Yue-Jun;  Sun, Ya-Fang;  Huang, Junling
收藏  |  浏览/下载:8/0  |  提交时间:2019/04/09
Total factor energy efficiency  Total factor carbon emission performance  Meta-frontier non-radial directional distance function  CDM project investment  DEA window analysis  Panel quantile regression  
Response to Comment on "Synthesis and characterization of the pentazolate anion cyclo-N-5(-) in (N-5)(6)(H3O)(3)(NH4)(4)Cl" 期刊论文
SCIENCE, 2018, 359 (6381)
作者:  Jiang, Chao;  Zhang, Lei;  Sun, Chengguo;  Zhang, Chong;  Yang, Chen;  Chen, Jun;  Hu, Bingcheng
收藏  |  浏览/下载:9/0  |  提交时间:2019/11/27
The direct and indirect CO2 rebound effect for private cars in China 期刊论文
ENERGY POLICY, 2017, 100
作者:  Zhang, Yue-Jun;  Liu, Zhao;  Qin, Chang-Xiong;  Tan, Tai-De
收藏  |  浏览/下载:6/0  |  提交时间:2019/04/09
Carbon emission  Private cars  CO2 rebound effect  AIDS model  
Can environmental innovation facilitate carbon emissions reduction? Evidence from China 期刊论文
ENERGY POLICY, 2017, 100
作者:  Zhang, Yue-Jun;  Peng, Yu-Lu;  Ma, Chao-Qun;  Shen, Bo
收藏  |  浏览/下载:8/0  |  提交时间:2019/04/09
Environmental innovation  Carbon emissions trading  China  SGMM  PSM-DID