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2023
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT
Cao et al. · J. ACM, Vol. 37, No. 4 · LLMs & generative AI, Deepfakes & multimodal2023
The Looming Threat of Fake and LLM-generated LinkedIn Profiles: Challenges and Opportunities for Detection and Prevention
Ayoobi et al. · 3rd ACM Conference on Hypertext and Social Media · LLMs & generative AI, Datasets & evaluation2023
DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
Mitchell et al. · 40th International Conference on Machine… · LLMs & generative AI, Detection methods2022
"This is Fake! Shared it by Mistake": Assessing the Intent of Fake News Spreaders
Zhou et al. · ACM Web Conference 2022 · Spread & networks, Detection methods2022
All the News That's Fit to Fabricate: AI-Generated Text as a Tool of Media Misinformation
Kreps et al. · Journal of Experimental Political Science · LLMs & generative AI, Detection methods2022
A Comprehensive Survey on Trustworthy Recommender Systems
Fan et al. · ACM Computing Surveys · Platforms, policy & society, Detection methods2022
Deepfake Detection: A Systematic Literature Review
Rana et al. · IEEE Access · Deepfakes & multimodal, Datasets & evaluation2022
Right-Wing YouTube: A Supply and Demand Perspective
Munger & Phillips · The International Journal of Press/Politics · Spread & networks, Platforms, policy & society2022
The psychological drivers of misinformation belief and its resistance to correction
Ecker et al. · Nature Reviews Psychology · Psychology & interventions, Fact-checking & verification2021
Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA
Loomba et al. · Nature Human Behaviour · Psychology & interventions, Platforms, policy & society2021
Prevalence of Health Misinformation on Social Media: Systematic Review
Suarez-Lledo & Alvarez-Galvez · Journal of Medical Internet Research · Spread & networks, Datasets & evaluation2021
Shifting attention to accuracy can reduce misinformation online
Pennycook et al. · Nature · Psychology & interventions, Platforms, policy & society2021
Multimodal Emergent Fake News Detection via Meta Neural Process Networks
Wang et al. · ACM SIGKDD Conference on Knowledge Discovery… · Deepfakes & multimodal, Detection methods2021
A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances
Zhou et al. · ACM Computing Surveys · Spread & networks, Datasets & evaluation2021
Prevalence of Health Misinformation on Social Media: Systematic Review
Suarez-Lledo & Alvarez-Galvez · Journal of Medical Internet Research · Spread & networks, Platforms, policy & society2021
The Gospel According to Q: Understanding the QAnon Conspiracy from the Perspective of Canonical Information
Papasavva et al. · 16th International AAAI Conference on Web and… · Spread & networks, Psychology & interventions2021
MDFEND: Multi-domain Fake News Detection
Nan et al. · CIKM '21: The 30th ACM International… · Detection methods, Datasets & evaluation2021
The Threat of Offensive AI to Organizations
Mirsky et al. · ACM Computing Surveys · Platforms, policy & society, Bots & coordinated campaigns2021
DEAP-FAKED: Knowledge Graph based Approach for Fake News Detection
Mayank et al. · IEEE/ACM International Conference on Advances… · Detection methods, Datasets & evaluation2021
FakeBERT: Fake News Detection in Social Media with a BERT-based Deep Learning Approach
Kaliyar et al. · Multimedia Tools and Applications · Detection methods, LLMs & generative AI2021
Towards Fine-Grained Reasoning for Fake News Detection
Jin et al. · ACL · Detection methods, LLMs & generative AI2021
KAN: Knowledge-aware Attention Network for Fake News Detection
Dun et al. · AAAI 2021 · Detection methods, LLMs & generative AI2021
User Preference-aware Fake News Detection
Dou et al. · SIGIR 2021 · Detection methods, Spread & networks2021
Causal Understanding of Fake News Dissemination on Social Media
Cheng et al. · ACM SIGKDD Conference on Knowledge Discovery… · Spread & networks, Detection methods