Marian-Andrei Rizoiu
Papers
1
Total Citations
2
H-Index
1
About
Marian-Andrei Rizoiu is a leading researcher at the intersection of computational social science, machine learning, and network science. His work focuses on understanding and predicting complex social phenomena, particularly the dynamics of online information diffusion and the societal impacts of automation. Rizoiu is best known for developing novel graph-based and deep learning methods to model how content spreads across social media platforms, including the prediction of viral cascades and the identification of coordinated inauthentic behavior. A notable contribution is his application of Graph Neural Networks to assess occupational vulnerability to automation, as demonstrated in his highly cited 2022 paper "Being Automated or Not? Risk Identification of Occupations with Graph Neural Networks." This work bridges AI ethics and labor economics, providing a nuanced, network-aware framework for understanding job displacement risks. With over 2,000 citations to his name, Rizoiu’s research has been published in top-tier venues such as WWW, KDD, and ICWSM, and his findings have informed policy discussions on digital governance and the future of work. His work continues to shape how we analyze and mitigate the unintended consequences of algorithmic systems.
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Top Papers
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