| Beyond Views: Measuring and Predicting Engagement in Online Videos S Wu, MA Rizoiu, L Xie The 12th International AAAI Conference on Web and Social Media, 2018 | 121* | 2018 |
| Will This Video Go Viral? Explaining and Predicting the Popularity of Youtube Videos Q Kong, MA Rizoiu, S Wu, L Xie WWW '18 Companion Proceedings of the The Web Conference, 2018 | 44 | 2018 |
| Just Another Day on Twitter: A Complete 24 Hours of Twitter Data J Pfeffer, D Matter, K Jaidka, O Varol, A Mashhadi, J Lasser, ... The 17th International AAAI Conference on Web and Social Media, 2023 | 43 | 2023 |
| Unsupervised Cyberbullying Detection via Time-Informed Gaussian Mixture Model L Cheng, K Shu, S Wu, YN Silva, DL Hall, H Liu The 29th ACM International Conference on Information and Knowledge Management, 2020 | 43 | 2020 |
| Estimating Attention Flow in Online Video Networks S Wu, MA Rizoiu, L Xie The 22nd ACM Conference on Computer-Supported Cooperative Work and Social …, 2019 | 36 | 2019 |
| Cross-Partisan Discussions on YouTube: Conservatives Talk to Liberals but Liberals Don't Talk to Conservatives S Wu, P Resnick The 15th International AAAI Conference on Web and Social Media, 2021 | 35 | 2021 |
| Variation across Scales: Measurement Fidelity under Twitter Data Sampling S Wu, MA Rizoiu, L Xie The 14th International AAAI Conference on Web and Social Media, 2020 | 32 | 2020 |
| SMASH: A Cloud-based Architecture for Big Data Processing and Visualization of Traffic Data S Wu, L Morandini, RO Sinnott 2015 IEEE International Conference on Data Science and Data Intensive …, 2015 | 31 | 2015 |
| Whose Advantage? Measuring Attention Dynamics across YouTube and Twitter on Controversial Topics JY Lee, S Wu, AM Ertugrul, YR Lin, L Xie The 16th International AAAI Conference on Web and Social Media, 2022 | 11 | 2022 |
| AttentionFlow: Visualising Influence in Networks of Time Series M Shin, A Tran, S Wu, A Mathews, R Wang, G Lyall, L Xie The 14th ACM International Conference on Web Search and Data Mining, 2021 | 8 | 2021 |
| HOT speech: Comments from political news posts and videos that were annotated for hateful, offensive, and toxic content S Wu, A Schöpke-Gonzalez, S Kumar, L Hemphill, P Resnick Inter-university Consortium for Political and Social Research [distributor], 2023 | 3 | 2023 |
| How to Train Your YouTube Recommender to Avoid Unwanted Videos A Liu, S Wu, P Resnick The 18th International AAAI Conference on Web and Social Media, 2024 | 2 | 2024 |
| How We Define Harm Impacts Data Annotations: Explaining How Annotators Distinguish Hateful, Offensive, and Toxic Comments A Schöpke-Gonzalez, S Wu, S Kumar, PJ Resnick, L Hemphill arXiv preprint arXiv:2309.15827, 2023 | 2 | 2023 |
| How is Attention Allocated? Data-Driven Studies of Popularity and Engagement in Online Videos S Wu The 12th ACM International Conference on Web Search and Data Mining, 2019 | 2 | 2019 |
| Calibrate-Extrapolate: Rethinking Prevalence Estimation with Black Box Classifiers S Wu, P Resnick The 18th International AAAI Conference on Web and Social Media, 2024 | 1 | 2024 |
| Assessment of Discoverability Metrics for Harmful Content P Resnick, S Wu, J Park University of Michigan Center for Social Media Responsibility, 2023 | | 2023 |
| The Shapes of the Fourth Estate During the Pandemic: Profiling COVID-19 News Consumption in Eight Countries C Yang, L Xie, S Wu The 26th ACM Conference on Computer-Supported Cooperative Work and Social …, 2023 | | 2023 |
| Systems and Methods for Unsupervised Cyberbullying Detection via Time-Informed Gaussian Mixture Model L Cheng, K Shu, S Wu, Y Silva, D Hall, H Liu US Patent App. 17/546,648, 2022 | | 2022 |
| Measuring Collective Attention in Online Content S Wu ACM SIGWEB Newsletter, 2022 | | 2022 |
| Measuring Collective Attention in Online Content: Sampling, Engagement, and Network Effects S Wu The Australian National University, 2021 | | 2021 |
Lexing XieProfessor at Australian National UniversityVerified email at anu.edu.au
