Network distribution and sentiment interaction: Information diffusion mechanisms between social bots and human users on social media
出版年份 2022 全文链接
标题
Network distribution and sentiment interaction: Information diffusion mechanisms between social bots and human users on social media
作者
关键词
-
出版物
INFORMATION PROCESSING & MANAGEMENT
Volume 60, Issue 2, Pages 103197
出版商
Elsevier BV
发表日期
2022-11-25
DOI
10.1016/j.ipm.2022.103197
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。- Investigation of the determinants for misinformation correction effectiveness on social media during COVID-19 pandemic
- (2022) Yuqi Zhang et al. INFORMATION PROCESSING & MANAGEMENT
- Differences in Behavioral Characteristics and Diffusion Mechanisms: A Comparative Analysis Based on Social Bots and Human Users
- (2022) Meng Cai et al. Frontiers in Physics
- Betweenness centrality of teams in social networks
- (2021) Jongshin Lee et al. CHAOS
- Structural Topic Model Analysis of Mask-Wearing Issue Using International News Big Data
- (2021) Kyeo Re Lee et al. International Journal of Environmental Research and Public Health
- The Connotation, Features, and Mechanism of Computational Propaganda
- (2021) Jin Yang Srodkowoeuropejskie Studia Polityczne
- A Study on the Topic-Sentiment Evolution and Diffusion in Time Series of Public Opinion Derived from Emergencies
- (2021) Meng Cai et al. COMPLEXITY
- Social Bots and the Spread of Disinformation in Social Media: The Challenges of Artificial Intelligence
- (2021) Nick Hajli et al. BRITISH JOURNAL OF MANAGEMENT
- Social Bots and Their Coordination During Online Campaigns: A Survey
- (2021) Tuja Khaund et al. IEEE Transactions on Computational Social Systems
- How to fight an infodemic
- (2020) John Zarocostas LANCET
- Dynamic mechanism of social bots interfering with public opinion in network
- (2020) Chun Cheng et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- The epic battle against coronavirus misinformation and conspiracy theories
- (2020) Philip Ball et al. NATURE
- Rise of the Machines? Examining the Influence of Social Bots on a Political Discussion Network
- (2020) Loni Hagen et al. SOCIAL SCIENCE COMPUTER REVIEW
- Using Social Media to Mine and Analyze Public Opinion Related to COVID-19 in China
- (2020) Xuehua Han et al. International Journal of Environmental Research and Public Health
- Ranked Feature-Based Laser Material Processing Monitoring and Defect Diagnosis Using k-NN and SVM
- (2020) Seung Hwan Lee et al. Journal of Manufacturing Processes
- An “Infodemic”: Leveraging High-Volume Twitter Data to Understand Early Public Sentiment for the Coronavirus Disease 2019 Outbreak
- (2020) Richard J Medford et al. Open Forum Infectious Diseases
- Evaluating the social value of online health information for third-party patients: Is uncertainty always bad?
- (2020) Yixuan Liu et al. INFORMATION PROCESSING & MANAGEMENT
- A novel framework for detecting social bots with deep neural networks and active learning
- (2020) Yuhao Wu et al. KNOWLEDGE-BASED SYSTEMS
- The Contagion of Sentiments during the COVID-19 Pandemic Crisis: The Case of Isolation in Spain
- (2020) Patricia P. Iglesias-Sánchez et al. International Journal of Environmental Research and Public Health
- Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach
- (2020) Hamed Jelodar et al. IEEE Journal of Biomedical and Health Informatics
- Twitter Discussions and Emotions About the COVID-19 Pandemic: Machine Learning Approach
- (2020) Jia Xue et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Social Bots’ Sentiment Engagement in Health Emergencies: A Topic-Based Analysis of the COVID-19 Pandemic Discussions on Twitter
- (2020) Wen Shi et al. International Journal of Environmental Research and Public Health
- Bots Acting Like Humans: Understanding and Preventing Harm
- (2019) Florian Daniel et al. IEEE INTERNET COMPUTING
- Information gerrymandering in social networks skews collective decision-making
- (2019) Carl T. Bergstrom et al. NATURE
- Cannabis Surveillance With Twitter Data: Emerging Topics and Social Bots
- (2019) Jon-Patrick Allem et al. AMERICAN JOURNAL OF PUBLIC HEALTH
- Mining user interests over active topics on social networks
- (2018) Fattane Zarrinkalam et al. INFORMATION PROCESSING & MANAGEMENT
- The spread of true and false news online
- (2018) Soroush Vosoughi et al. SCIENCE
- Weaponized Health Communication: Twitter Bots and Russian Trolls Amplify the Vaccine Debate
- (2018) David A. Broniatowski et al. AMERICAN JOURNAL OF PUBLIC HEALTH
- Dissecting emotion and user influence in social media communities: An interaction modeling approach
- (2018) Wingyan Chung et al. INFORMATION & MANAGEMENT
- 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
- Influence of fake news in Twitter during the 2016 US presidential election
- (2018) Alexandre Bovet et al. Nature Communications
- Computational Propaganda and Political Big Data: Moving Toward a More Critical Research Agenda
- (2017) Gillian Bolsover et al. Big Data
- 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
- The Importance of Debiasing Social Media Data to Better Understand E-Cigarette-Related Attitudes and Behaviors
- (2016) Jon-Patrick Allem et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- CrowdPulse: A framework for real-time semantic analysis of social streams
- (2015) Cataldo Musto et al. INFORMATION SYSTEMS
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Twitter: A Good Place to Detect Health Conditions
- (2014) Víctor M. Prieto et al. PLoS One
- Experimental evidence of massive-scale emotional contagion through social networks
- (2014) A. D. I. Kramer et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- SuperedgeRank algorithm and its application in identifying opinion leader of online public opinion supernetwork
- (2013) Ning Ma et al. EXPERT SYSTEMS WITH APPLICATIONS
- Emotions and Information Diffusion in Social Media—Sentiment of Microblogs and Sharing Behavior
- (2013) Stefan Stieglitz et al. JOURNAL OF MANAGEMENT INFORMATION SYSTEMS
- Social Media and the Elections
- (2012) P. T. Metaxas et al. SCIENCE
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started