Publications

Naufal Dzakia Raiffaza, Yusuf Sulistyo Nugroho (2024). UNDERSTANDING THE TRENDS OF DEVELOPER CONTRIBUTIONS IN NUGET, PYPI, AND NPM ECOSYSTEMS. Jurnal Teknik Informatika (Jutif).
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Giuseppe Russo Latona, Manoel Horta Ribeiro, Tim R Davidson, Veniamin Veselovsky, Robert West (2024). The AI Review Lottery: Widespread AI-Assisted Peer Reviews Boost Paper Scores and Acceptance Rates. arXiv e-prints.
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Giuseppe Russo, Manoel Horta Ribeiro, Robert West (2024). Stranger Danger! Cross-Community Interactions with Fringe Users Increase the Growth of Fringe Communities on Reddit. Proceedings of the International AAAI Conference on Web and Social Media.
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Tim R Davidson, Viacheslav Surkov, Veniamin Veselovsky, Giuseppe Russo, Robert West, Caglar Gulcehre (2024). Self-Recognition in Language Models. arXiv preprint arXiv:2407.06946.
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Francesco Corso, Giuseppe Russo, Francesco Pierri (2024). A Longitudinal Study of Italian and French Reddit Conversations Around the Russian Invasion of Ukraine. Proceedings of the 16th ACM Web Science Conference.
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Giuseppe Russo, Manoel Horta Ribeiro, Giona Casiraghi, Luca Verginer (2023). Understanding online migration decisions following the banning of radical communities. Proceedings of the 15th ACM Web Science Conference 2023.
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Giuseppe Russo, Luca Verginer, Manoel Horta Ribeiro, Giona Casiraghi (2023). Spillover of antisocial behavior from fringe platforms: The unintended consequences of community banning. Proceedings of the International AAAI Conference on Web and Social Media.
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Giuseppe Russo, Christoph Gote, Laurence Brandenberger, Sophia Schlosser, Frank Schweitzer (2023). Helping a friend or supporting a cause? disentangling active and passive cosponsorship in the US congress. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, Volume 1: Long Papers.
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Giuseppe Russo, Niklas Stoehr, Manoel Horta Ribeiro (2023). ACTI at EVALITA 2023: Automatic Conspiracy Theory Identification Task Overview.
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Giuseppe Russo, Nora Hollenstein, Claudiu Musat, Ce Zhang (2020). Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation. Findings of the Association for Computational Linguistics: EMNLP 2020.
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