气候变化领域集成服务门户(CCPortal): Bots are less central than verified accounts during contentious political events

CCPortal

DOI	10.1073/pnas.2013443118
	Bots are less central than verified accounts during contentious political events
	González-Bailón S.; De Domenico M.
发表日期	2021
ISSN	00278424
卷号	118 期号:11
英文摘要	Information manipulation is widespread in today's media environment. Online networks have disrupted the gatekeeping role of traditional media by allowing various actors to influence the public agenda; they have also allowed automated accounts (or bots) to blend with human activity in the flow of information. Here, we assess the impact that bots had on the dissemination of content during two contentious political events that evolved in real time on social media. We focus on events of heightened political tension because they are particularly susceptible to information campaigns designed to mislead or exacerbate conflict. We compare the visibility of bots with human accounts, verified accounts, and mainstream news outlets. Our analyses combine millions of posts from a popular microblogging platform with web-tracking data collected from two different countries and timeframes. We employ tools from network science, natural language processing, and machine learning to analyze the diffusion structure, the content of the messages diffused, and the actors behind those messages as the political events unfolded. We show that verified accounts are significantly more visible than unverified bots in the coverage of the events but also that bots attract more attention than human accounts. Our findings highlight that social media and the web are very different news ecosystems in terms of prevalent news sources and that both humans and bots contribute to generate discrepancy in news visibility with their activity. © 2021 National Academy of Sciences. All rights reserved.
英文关键词	Computational social science; Information diffusion; Online networks; Political mobilization; Social media
语种	英语
scopus关键词	article; attention; controlled study; diffusion; ecosystem; human; human experiment; machine learning; natural language processing; social media; sociology; tension; visibility
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/180285
作者单位	Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA 19104, United States; Center for Information and Communication Technology, Fondazione Bruno Kessler, Trento, 38123, Italy
推荐引用方式 GB/T 7714	González-Bailón S.,De Domenico M.. Bots are less central than verified accounts during contentious political events[J],2021,118(11).
APA	González-Bailón S.,&De Domenico M..(2021).Bots are less central than verified accounts during contentious political events.Proceedings of the National Academy of Sciences of the United States of America,118(11).
MLA	González-Bailón S.,et al."Bots are less central than verified accounts during contentious political events".Proceedings of the National Academy of Sciences of the United States of America 118.11(2021).