ArticleJournal of computational social science2020
Bots and online hate during the COVID-19 pandemic: case studies in the United States and the Philippines.
Article in Journal of computational social science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 94 citations in OpenAlex.
- Leveraging deep learning to detect stance in Spanish tweets on COVID-19 vaccination.JAMIA open · 2025Article
- Unraveling the Use of Disinformation Hashtags by Social Bots During the COVID-19 Pandemic: Social Networks Analysis.JMIR infodemiology · 2025Article
- Improving Social Bot Detection Through Aid and Training.Human factors · 2024Article
- Duped by Bots: Why Some are Better than Others at Detecting Fake Social Media Personas.Human factors · 2024Article
- Exposure to social bots amplifies perceptual biases and regulation propensity.Scientific reports · 2023Article
- Social Bots' Role in the COVID-19 Pandemic Discussion on Twitter.International journal of environmental research and public health · 2023Article
- A comparison of approaches for imbalanced classification problems in the context of retrieving relevant documents for an analysis.Journal of computational social science · 2023Article
- Public Opinion Manipulation on Social Media: Social Network Analysis of Twitter Bots during the COVID-19 Pandemic.International journal of environmental research and public health · 2022Article
- Assessing the Role of Social Bots During the COVID-19 Pandemic: Infodemic, Disagreement, and Criticism.Journal of medical Internet research · 2022Article
- Mapping state-sponsored information operations with multi-view modularity clustering.EPJ data science · 2022Article
- ReOpen demands as public health threat: a sociotechnical framework for understanding the stickiness of misinformation.Computational and mathematical organization theory · 2022Article
- Characterizing the roles of bots on Twitter during the COVID-19 infodemic.Journal of computational social science · 2022Article
- Analyzing user-generated content using natural language processing: a case study of public satisfaction with healthcare systems.Journal of computational social science · 2022Article
- Botometer 101: social bot practicum for computational social scientists.Journal of computational social science · 2022Article
- From agent-based models to the macroscopic description of fake-news spread: the role of competence in data-driven applications.SN partial differential equations and applications · 2022Article
- Overview of behavioural and psychological consequences of COVID 19.Current opinion in psychiatry · 2021Review
- Challenges of an 'infodemic': Separating fact from fiction in a pandemic.International emergency nursing · 2021Article
- What social media told us in the time of COVID-19: a scoping review.The Lancet. Digital health · 2021Article
- Active, aggressive, but to little avail: characterizing bot activity during the 2020 Singaporean elections.Computational and mathematical organization theory · 2021Article
- Characterizing network dynamics of online hate communities around the COVID-19 pandemic.Applied network science · 2021Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Online hate speech represents a serious problem exacerbated by the ongoing COVID-19 pandemic. Although often anchored in real-world social divisions, hate speech in cyberspace may also be fueled inorganically by inauthentic actors like social bots. This work presents and employs a methodological pipeline for assessing the links between hate speech and bot-driven activity through the lens of social cybersecurity. Using a combination of machine learning and network science tools, we empirically characterize Twitter conversations about the pandemic in the United States and the Philippines. Our integrated analysis reveals idiosyncratic relationships between bots and hate speech across datasets, highlighting different network dynamics of racially charged toxicity in the US and political conflicts in the Philippines. Most crucially, we discover that bot activity is linked to higher hate in both countries, especially in communities which are denser and more isolated from others. We discuss several insights for probing issues of online hate speech and coordinated disinformation, especially through a global approach to computational social science.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.