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20102026
most citedGraph Embedding Techniques, Applications, and Performance: A Survey

1.9k citations · 16k across the 151 of their papers we have counts for

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14 papers · 1 filter

cs.CY2026★ 81 cited

Social bot detection in the age of ChatGPT: Challenges and opportunities

Emilio Ferrara

We present a comprehensive overview of the challenges and opportunities in social bot detection in the context of the rise of sophisticated AI-based chatbots. By examining the stat…

cs.CY2024★ 15 cited

Hybrid Forecasting of Geopolitical Events

Daniel M. Benjamin, Fred Morstatter, Ali E. Abbas +26

Sound decision-making relies on accurate prediction for tangible outcomes ranging from military conflict to disease outbreaks. To improve crowdsourced forecasting accuracy, we deve…

cs.CY2023★ 212 cited

GenAI Against Humanity: Nefarious Applications of Generative Artificial Intelligence and Large Language Models

Emilio Ferrara

Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) are marvels of technology; celebrated for their prowess in natural language processing and multimodal co…

cs.CY2023★ 111 cited

The Butterfly Effect in Artificial Intelligence Systems: Implications for AI Bias and Fairness

Emilio Ferrara

The Butterfly Effect, a concept originating from chaos theory, underscores how small changes can have significant and unpredictable impacts on complex systems. In the context of AI…

cs.CY2023★ 809 cited

Fairness And Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, And Mitigation Strategies

Emilio Ferrara

The significant advancements in applying Artificial Intelligence (AI) to healthcare decision-making, medical diagnosis, and other domains have simultaneously raised concerns about…

cs.CY2023★ 223 cited

Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language Models

Emilio Ferrara

As the capabilities of generative language models continue to advance, the implications of biases ingrained within these models have garnered increasing attention from researchers,…