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Siqi Wu
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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
108*2018
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
412020
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
412018
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
342019
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
302020
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
292015
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
272021
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
262023
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
102022
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
82021
Calibrate-Extrapolate: Rethinking Prevalence Estimation with Black Box Classifiers
S Wu, P Resnick
arXiv preprint arXiv:2401.09329, 2024
12024
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
12023
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
12019
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
How to Train Your YouTube Recommender to Avoid Unwanted Videos
A Liu, S Wu, P Resnick
arXiv preprint arXiv:2307.14551, 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
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