activity
20182022
most citedUnsupervised Cyberbullying Detection via Time-Informed Gaussian Mixture Model

6 citations · 16 across the 5 of their papers we have counts for

collaborators

6 papers

cs.SI20211 cited

Cross-Partisan Discussions on YouTube: Conservatives Talk to Liberals but Liberals Don't Talk to Conservatives

Siqi Wu, Paul Resnick

We present the first large-scale measurement study of cross-partisan discussions between liberals and conservatives on YouTube, based on a dataset of 274,241 political videos from…

cs.SI20211 cited

AttentionFlow: Visualising Influence in Networks of Time Series

Minjeong Shin, Alasdair Tran, Siqi Wu +4

The collective attention on online items such as web pages, search terms, and videos reflects trends that are of social, cultural, and economic interest. Moreover, attention trends…

cs.SI20206 cited

Unsupervised Cyberbullying Detection via Time-Informed Gaussian Mixture Model

Lu Cheng, Kai Shu, Siqi Wu +3

Social media is a vital means for information-sharing due to its easy access, low cost, and fast dissemination characteristics. However, increases in social media usage have corres…

cs.SI20205 cited

Variation across Scales: Measurement Fidelity under Twitter Data Sampling

Siqi Wu, Marian-Andrei Rizoiu, Lexing Xie

A comprehensive understanding of data quality is the cornerstone of measurement studies in social media research. This paper presents in-depth measurements on the effects of Twitte…

cs.SI2019

Estimating Attention Flow in Online Video Networks

Siqi Wu, Marian-Andrei Rizoiu, Lexing Xie

Online videos have shown tremendous increase in Internet traffic. Most video hosting sites implement recommender systems, which connect the videos into a directed network and conce…

cs.SI2018

Will This Video Go Viral? Explaining and Predicting the Popularity of Youtube Videos

Quyu Kong, Marian-Andrei Rizoiu, Siqi Wu +1

What makes content go viral? Which videos become popular and why others don't? Such questions have elicited significant attention from both researchers and industry, particularly i…