Detecting Conspiracy Theory Against COVID-19 Vaccines
Fuente:
arXiv
Saved in:
| Main Authors: | Amin, Md Hasibul, Madanu, Harika, Lavu, Sahithi, Mansourifar, Hadi, Alsagheer, Dana, Shi, Weidong |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Measuring the Semantic Structure and Evolution of Conspiracy Theories
by: Keim, Manisha, et al.
Published: (2026)
by: Keim, Manisha, et al.
Published: (2026)
Unmasking Superspreaders: Data-Driven Approaches for Identifying and Comparing Key Influencers of Conspiracy Theories on X.com
by: Kramer, Florian, et al.
Published: (2026)
by: Kramer, Florian, et al.
Published: (2026)
WhatsApp Vaccine Discourse (WhaVax): An Expert-Annotated Dataset and Benchmark for Health Misinformation Detection
by: Santos, Jônatas H. dos, et al.
Published: (2026)
by: Santos, Jônatas H. dos, et al.
Published: (2026)
#EpiTwitter: Public Health Messaging During the COVID-19 Pandemic
by: Rao, Ashwin, et al.
Published: (2024)
by: Rao, Ashwin, et al.
Published: (2024)
Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media
by: Jiang, Bohan, et al.
Published: (2024)
by: Jiang, Bohan, et al.
Published: (2024)
Limited Effectiveness of LLM-based Data Augmentation for COVID-19 Misinformation Stance Detection
by: Choi, Eun Cheol, et al.
Published: (2025)
by: Choi, Eun Cheol, et al.
Published: (2025)
Effects of Antivaccine Tweets on COVID-19 Vaccinations, Cases, and Deaths
by: Bollenbacher, John, et al.
Published: (2024)
by: Bollenbacher, John, et al.
Published: (2024)
Perceived Social Influence on Vaccination Decisions: A COVID-19 Case Study
by: Yewell, Denise, et al.
Published: (2024)
by: Yewell, Denise, et al.
Published: (2024)
Conspiracy theories and where to find them on TikTok
by: Corso, Francesco, et al.
Published: (2024)
by: Corso, Francesco, et al.
Published: (2024)
Among Us: Language of Conspiracy Theorists on Mainstream Reddit
by: Corso, Francesco, et al.
Published: (2025)
by: Corso, Francesco, et al.
Published: (2025)
Community-based Behavioral Understanding of Crisis Activity Concerns using Social Media Data: A Study on the 2023 Canadian Wildfires in New York City
by: Momin, Khondhaker Al, et al.
Published: (2024)
by: Momin, Khondhaker Al, et al.
Published: (2024)
Leveraging Social Media Data to Identify Factors Influencing Public Attitude Towards Accessibility, Socioeconomic Disparity and Public Transportation
by: Momin, Khondhaker Al, et al.
Published: (2024)
by: Momin, Khondhaker Al, et al.
Published: (2024)
Community Needs and Assets: A Computational Analysis of Community Conversations
by: Chowdhury, Md Towhidul Absar, et al.
Published: (2024)
by: Chowdhury, Md Towhidul Absar, et al.
Published: (2024)
How COVID-19 has Impacted the Anti-Vaccine Discourse: A Large-Scale Twitter Study Spanning Pre-COVID and Post-COVID Era
by: Poddar, Soham, et al.
Published: (2024)
by: Poddar, Soham, et al.
Published: (2024)
A Guide to Misinformation Detection Data and Evaluation
by: Thibault, Camille, et al.
Published: (2024)
by: Thibault, Camille, et al.
Published: (2024)
Unveiling Online Conspiracy Theorists: a Text-Based Approach and Characterization
by: Recordare, Alessandra, et al.
Published: (2024)
by: Recordare, Alessandra, et al.
Published: (2024)
Governance Challenges in Reinforcement Learning from Human Feedback: Evaluator Rationality and Reinforcement Stability
by: Alsagheer, Dana, et al.
Published: (2025)
by: Alsagheer, Dana, et al.
Published: (2025)
Public Discourse about COVID-19 Vaccinations: A Computational Analysis of the Relationship between Public Concerns and Policies
by: Boland, Katarina, et al.
Published: (2024)
by: Boland, Katarina, et al.
Published: (2024)
Exploiting User Comments for Early Detection of Fake News Prior to Users' Commenting
by: Nan, Qiong, et al.
Published: (2023)
by: Nan, Qiong, et al.
Published: (2023)
CommunityFact: A Dynamic, Multilingual, Multi-domain Benchmark for Misinformation Detection in the Wild
by: Singh, Sahajpreet, et al.
Published: (2026)
by: Singh, Sahajpreet, et al.
Published: (2026)
Unifying the Extremes: Developing a Unified Model for Detecting and Predicting Extremist Traits and Radicalization
by: Lahnala, Allison, et al.
Published: (2025)
by: Lahnala, Allison, et al.
Published: (2025)
InstaSynth: Opportunities and Challenges in Generating Synthetic Instagram Data with ChatGPT for Sponsored Content Detection
by: Bertaglia, Thales, et al.
Published: (2024)
by: Bertaglia, Thales, et al.
Published: (2024)
Let Silence Speak: Enhancing Fake News Detection with Generated Comments from Large Language Models
by: Nan, Qiong, et al.
Published: (2024)
by: Nan, Qiong, et al.
Published: (2024)
Cutting through the noise to motivate people: A comprehensive analysis of COVID-19 social media posts de/motivating vaccination
by: Rahman, Ashiqur, et al.
Published: (2024)
by: Rahman, Ashiqur, et al.
Published: (2024)
Generalizing Hate Speech Detection Using Multi-Task Learning: A Case Study of Political Public Figures
by: Yuan, Lanqin, et al.
Published: (2022)
by: Yuan, Lanqin, et al.
Published: (2022)
The Shifting Landscape of Vaccine Discourse: Insights From a Decade of Pre- to Post-COVID-19 Vaccine Posts on Social Media
by: Gyawali, Nikesh, et al.
Published: (2025)
by: Gyawali, Nikesh, et al.
Published: (2025)
SugarTextNet: A Transformer-Based Framework for Detecting Sugar Dating-Related Content on Social Media with Context-Aware Focal Loss
by: Wang, Lionel Z., et al.
Published: (2025)
by: Wang, Lionel Z., et al.
Published: (2025)
How COVID-19 has Impacted American Attitudes Toward China: A Study on Twitter
by: Cook, Gavin, et al.
Published: (2021)
by: Cook, Gavin, et al.
Published: (2021)
Decoding Susceptibility: Modeling Misbelief to Misinformation Through a Computational Approach
by: Liu, Yanchen, et al.
Published: (2023)
by: Liu, Yanchen, et al.
Published: (2023)
Investigating Vaccine Buyer's Remorse: Post-Vaccination Decision Regret in COVID-19 Social Media Using Politically Diverse Human Annotation
by: Stanley, Miles, et al.
Published: (2026)
by: Stanley, Miles, et al.
Published: (2026)
Revealing COVID-19's Social Dynamics: Diachronic Semantic Analysis of Vaccine and Symptom Discourse on Twitter
by: Wang, Zeqiang, et al.
Published: (2024)
by: Wang, Zeqiang, et al.
Published: (2024)
Visual Selective Attention System to Intervene User Attention in Sharing COVID-19 Misinformation
by: Amin, Zaid, et al.
Published: (2021)
by: Amin, Zaid, et al.
Published: (2021)
Can LLMs Assist Annotators in Identifying Morality Frames? -- Case Study on Vaccination Debate on Social Media
by: Islam, Tunazzina, et al.
Published: (2025)
by: Islam, Tunazzina, et al.
Published: (2025)
Harmful Suicide Content Detection
by: Park, Kyumin, et al.
Published: (2024)
by: Park, Kyumin, et al.
Published: (2024)
Event Detection from Social Media for Epidemic Prediction
by: Parekh, Tanmay, et al.
Published: (2024)
by: Parekh, Tanmay, et al.
Published: (2024)
Analyzing COVID-19 Vaccination Sentiments in Nigerian Cyberspace: Insights from a Manually Annotated Twitter Dataset
by: Ahmad, Ibrahim Said, et al.
Published: (2024)
by: Ahmad, Ibrahim Said, et al.
Published: (2024)
Infrastructure Ombudsman: Mining Future Failure Concerns from Structural Disaster Response
by: Chowdhury, Md Towhidul Absar, et al.
Published: (2024)
by: Chowdhury, Md Towhidul Absar, et al.
Published: (2024)
Who Shapes Brazil's Vaccine Debate? Semi-Supervised Modeling of Stance and Polarization in YouTube's Media Ecosystem
by: de Oliveira, Geovana S., et al.
Published: (2026)
by: de Oliveira, Geovana S., et al.
Published: (2026)
Assessing the Impact of Conspiracy Theories Using Large Language Models
by: Jiang, Bohan, et al.
Published: (2024)
by: Jiang, Bohan, et al.
Published: (2024)
From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models
by: Alsagheer, Dana, et al.
Published: (2025)
by: Alsagheer, Dana, et al.
Published: (2025)
Similar Items
-
Measuring the Semantic Structure and Evolution of Conspiracy Theories
by: Keim, Manisha, et al.
Published: (2026) -
Unmasking Superspreaders: Data-Driven Approaches for Identifying and Comparing Key Influencers of Conspiracy Theories on X.com
by: Kramer, Florian, et al.
Published: (2026) -
WhatsApp Vaccine Discourse (WhaVax): An Expert-Annotated Dataset and Benchmark for Health Misinformation Detection
by: Santos, Jônatas H. dos, et al.
Published: (2026) -
#EpiTwitter: Public Health Messaging During the COVID-19 Pandemic
by: Rao, Ashwin, et al.
Published: (2024) -
Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media
by: Jiang, Bohan, et al.
Published: (2024)