Published in 33rd Usenix Security Symposium, 2024
Improving visual soft moderation using perceptual hashing and vector databases
Recommended citation: P. Paudel, C. Ling, J.Blackburn and G. Stringhini, “PIXELMOD: Improving Soft Moderation of Visual Misleading Information on Twitter,” 33rd Usenix Security Symposium, Philadelphia PA, USA, 2024
Published in 33rd Usenix Security Symposium, 2024
Improving contextual soft moderation using unsupervised stance detection
Recommended citation: P. Paudel, M.H. Saeed, R. Auger, C. Wells and G. Stringhini, “Enabling Contextual Soft Moderation on Social Media through Contrastive Textual Deviation,” 33rd Usenix Security Symposium, Philadelphia, PA, USA, 2024
Published in 8th IEEE European Symposium on Security and Privacy (EuroS&P), 2023
Systemization of Knowledge (SoK) of content modertion in social media
Recommended citation: M. Singhal, C. Ling, P. Paudel, P. Thota, N. Kumarswamy, G. Stringhini and S.Nilizadeh “SoK: Content Moderation in Social Media, from Guidelines to Enforcement, and Research to Practice,” 2023 IEEE 8th European Symposium on Security and Privacy (EuroS&P), 2023. https://ieeexplore.ieee.org/abstract/document/10190527/
Published in PLOS One, 2023
Using topic modeling and network science to understand higher education discourse in response to the murder of George Floyd.
Recommended citation: N. Toraif, N. Gondal, P. Paudel and A. Frisellaa, “From colorblind to systemic racism: Emergence of a rhetorical shift in higher education discourse in response to the murder of George Floyd,” PLoS one 18.8 (2023): e0289545. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0289545
Published in 44th IEEE Symposium on Security and Privacy (SP), 2023
Improving textual soft moderation on Twitter using Learning To Rank
Recommended citation: P. Paudel, J. Blackburn, E. De Cristofaro, S. Zannettou and G. Stringhini, “Lambretta: Learning To Rank For Twitter Soft Moderation,” 2023 IEEE Symposium on Security and Privacy (SP), San Francisco, CA, USA, 2023. https://ieeexplore.ieee.org/abstract/document/10179392
Published in International Workshop on Cyber Social Threats (CySoc 2022), 2023
Data-driven Characterization of alternate social network called Gettr
Recommended citation: P. Paudel, J. Blackburn, E. De Cristofaro, S. Zannettou and G. Stringhini, “A longitudinal study of the Gettr social network,” International Workshop on Cyber Social Threats, 2022. https://workshop-proceedings.icwsm.org/pdf/2022_62.pdf
Published in arxiv (Preprint), 2021
Data-driven Characterization of conspiracy theories spread on social media platforms
Recommended citation: P. Paudel, J. Blackburn, E. De Cristofaro, S. Zannettou and G. Stringhini, “Soros, child sacrifices, and 5G: understanding the spread of conspiracy theories on web communities,” arXiv preprint, 2021. https://arxiv.org/abs/2111.02187
Published in International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2020
Analysis of new wave of social bots using network science techniques
Recommended citation: P. Paudel, TT. Nguyen, A. Hatua and AH. Sung, “How the tables have turned: Studying the new wave of social bots on Twitter using complex network analysis techniques,” 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Vancouver, Canada, 2019. https://dl.acm.org/doi/abs/10.1145/3341161.3342898