气候变化领域集成服务门户(CCPortal): Comparing information diffusion mechanisms by matching on cascade size

CCPortal

DOI	10.1073/pnas.2100786118
	Comparing information diffusion mechanisms by matching on cascade size
	Juul J.L.; Ugander J.
发表日期	2021
ISSN	0027-8424
卷号	118 期号:46
英文摘要	Do some types of information spread faster, broader, or further than others? To understand how information diffusions differ, scholars compare structural properties of the paths taken by content as it spreads through a network, studying so-called cascades. Commonly studied cascade properties include the reach, depth, breadth, and speed of propagation. Drawing conclusions from statistical differences in these properties can be challenging, as many properties are dependent. In this work, we demonstrate the essentiality of controlling for cascade sizes when studying structural differences between collections of cascades. We first revisit two datasets fromnotable recent studies of online diffusion that reported content-specific differences in cascade topology: An exhaustive corpus of Twitter cascades for verified true- or false-news content by Vosoughi et al. [S. Vosoughi, D. Roy, S. Aral. Science 359, 1146-1151 (2018)] and a comparison of Twitter cascades of videos, pictures, news, and petitions by Goel et al. [S. Goel, A. Anderson, J. Hofman, D. J. Watts. Manage. Sci. 62, 180-196 (2016)]. Using methods that control for joint cascade statistics, we find that for false- and true-news cascades, the reported structural differences can almost entirely be explained by false-news cascades being larger. For videos, images, news, and petitions, structural differences persist when controlling for size. Studying classical models of diffusion, we then give conditions under which differences in structural properties under different models do or do not reduce to differences in size. Our findings are consistent with the mechanisms underlying true- and falsenews diffusion being quite similar, differing primarily in the basic infectiousness of their spreading process. © 2021 National Academy of Sciences. All rights reserved.
英文关键词	Information diffusion; Misinformation; Network analysis; Social media
语种	英语
scopus关键词	article; diffusion; drawing; human; human experiment; misinformation; network analysis; social media; videorecording
来源期刊	Proceedings of the National Academy of Sciences of the United States of America
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/238752
作者单位	Center for Applied Mathematics, Cornell University, Ithaca, NY 14853, United States; Management Science and Engineering, Stanford University, Stanford, CA 94305, United States
推荐引用方式 GB/T 7714	Juul J.L.,Ugander J.. Comparing information diffusion mechanisms by matching on cascade size[J],2021,118(46).
APA	Juul J.L.,&Ugander J..(2021).Comparing information diffusion mechanisms by matching on cascade size.Proceedings of the National Academy of Sciences of the United States of America,118(46).
MLA	Juul J.L.,et al."Comparing information diffusion mechanisms by matching on cascade size".Proceedings of the National Academy of Sciences of the United States of America 118.46(2021).