Algorithmic Agents in the Hybrid Media System: Social Bots, Selective Amplification, and Partisan News about COVID-19
出版年份 2022 全文链接
标题
Algorithmic Agents in the Hybrid Media System: Social Bots, Selective Amplification, and Partisan News about COVID-19
作者
关键词
-
出版物
HUMAN COMMUNICATION RESEARCH
Volume -, Issue -, Pages -
出版商
Oxford University Press (OUP)
发表日期
2022-05-18
DOI
10.1093/hcr/hqac012
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Bots are less central than verified accounts during contentious political events
- (2021) Sandra González-Bailón et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Partisanship, health behavior, and policy attitudes in the early stages of the COVID-19 pandemic
- (2021) Shana Kushner Gadarian et al. PLoS One
- Twitter as research data
- (2021) Kaiping Chen et al. Politics and the Life Sciences
- Social Media Public Opinion as Flocks in a Murmuration: Conceptualizing and Measuring Opinion Expression on Social Media
- (2021) Yini Zhang et al. Journal of Computer-Mediated Communication
- A decade of social bot detection
- (2020) Stefano Cresci COMMUNICATIONS OF THE ACM
- Political partisanship influences behavioral responses to governors’ recommendations for COVID-19 prevention in the United States
- (2020) Guy Grossman et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Fake news on Twitter during the 2016 U.S. presidential election
- (2019) Nir Grinberg et al. SCIENCE
- Malicious Actors on Twitter: A Guide for Public Health Researchers
- (2019) Amelia M. Jamison et al. AMERICAN JOURNAL OF PUBLIC HEALTH
- Disinformation’s spread: bots, trolls and all of us
- (2019) Kate Starbird NATURE
- Weaponized Health Communication: Twitter Bots and Russian Trolls Amplify the Vaccine Debate
- (2018) David A. Broniatowski et al. AMERICAN JOURNAL OF PUBLIC HEALTH
- Exposure to opposing views on social media can increase political polarization
- (2018) Christopher A. Bail et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Bots increase exposure to negative and inflammatory content in online social systems
- (2018) Massimo Stella et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- The spread of low-credibility content by social bots
- (2018) Chengcheng Shao et al. Nature Communications
- Social Bots: Human-Like by Means of Human Control?
- (2017) Christian Grimme et al. Big Data
- The rise of social bots
- (2016) Emilio Ferrara et al. COMMUNICATIONS OF THE ACM
- Garbage in, Garbage Out: Data Collection, Quality Assessment and Reporting Standards for Social Media Data Use in Health Research, Infodemiology and Digital Disease Detection
- (2016) Yoonsang Kim et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Design and analysis of a social botnet
- (2012) Yazan Boshmaf et al. Computer Networks
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started