129 citations · 798 across the 46 of their papers we have counts for
21 papers · 1 filter
The Shapes of the Fourth Estate During the Pandemic: Profiling COVID-19 News Consumption in Eight Countries
Cai Yang, Lexing Xie, Siqi Wu
News media is often referred to as the Fourth Estate, a recognition of its political power. New understandings of how media shape political beliefs and influence collective behavio…
Stability and Efficiency of Personalised Cultural Markets
Haiqing Zhu, Yun Kuen Cheung, Lexing Xie
This work is concerned with the dynamics of online cultural markets, namely, attention allocation of many users on a set of digital goods with infinite supply. Such dynamic is impo…
Whose Advantage? Measuring Attention Dynamics across YouTube and Twitter on Controversial Topics
JooYoung Lee, Siqi Wu, Ali Mert Ertugrul +2
The ideological asymmetries have been recently observed in contested online spaces, where conservative voices seem to be relatively more pronounced even though liberals are known t…
Mapping Topics in 100,000 Real-life Moral Dilemmas
Tuan Dung Nguyen, Georgiana Lyall, Alasdair Tran +4
Moral dilemmas play an important role in theorizing both about ethical norms and moral psychology. Yet thought experiments borrowed from the philosophical literature often lack the…
Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series
Alasdair Tran, Alexander Mathews, Cheng Soon Ong +1
We propose a new model for networks of time series that influence each other. Graph structures among time series are found in diverse domains, such as web traffic influenced by hyp…
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…
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…
Describing and Predicting Online Items with Reshare Cascades via Dual Mixture Self-exciting Processes
Quyu Kong, Marian-Andrei Rizoiu, Lexing Xie
It is well-known that online behavior is long-tailed, with most cascaded actions being short and a few being very long. A prominent drawback in generative models for online events…
Modeling Information Cascades with Self-exciting Processes via Generalized Epidemic Models
Quyu Kong, Marian-Andrei Rizoiu, Lexing Xie
Epidemic models and self-exciting processes are two types of models used to describe diffusion phenomena online and offline. These models were originally developed in different sci…
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…
Modeling Popularity in Asynchronous Social Media Streams with Recurrent Neural Networks
Swapnil Mishra, Marian-Andrei Rizoiu, Lexing Xie
Understanding and predicting the popularity of online items is an important open problem in social media analysis. Considerable progress has been made recently in data-driven predi…
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…
#DebateNight: The Role and Influence of Socialbots on Twitter During the 1st 2016 U.S. Presidential Debate
Marian-Andrei Rizoiu, Timothy Graham, Rui Zhang +3
Serious concerns have been raised about the role of 'socialbots' in manipulating public opinion and influencing the outcome of elections by retweeting partisan content to increase…
SIR-Hawkes: Linking Epidemic Models and Hawkes Processes to Model Diffusions in Finite Populations
Marian-Andrei Rizoiu, Swapnil Mishra, Quyu Kong +2
Among the statistical tools for online information diffusion modeling, both epidemic models and Hawkes point processes are popular choices. The former originate from epidemiology,…
Beyond Views: Measuring and Predicting Engagement in Online Videos
Siqi Wu, Marian-Andrei Rizoiu, Lexing Xie
The share of videos in the internet traffic has been growing, therefore understanding how videos capture attention on a global scale is also of growing importance. Most current res…
Online Popularity under Promotion: Viral Potential, Forecasting, and the Economics of Time
Marian-Andrei Rizoiu, Lexing Xie
Modeling the popularity dynamics of an online item is an important open problem in computational social science. This paper presents an in-depth study of popularity dynamics under…
Feature Driven and Point Process Approaches for Popularity Prediction
Swapnil Mishra, Marian-Andrei Rizoiu, Lexing Xie
Predicting popularity, or the total volume of information outbreaks, is an important subproblem for understanding collective behavior in networks. Each of the two main types of rec…
Expecting to be HIP: Hawkes Intensity Processes for Social Media Popularity
Marian-Andrei Rizoiu, Lexing Xie, Scott Sanner +3
Modeling and predicting the popularity of online content is a significant problem for the practice of information dissemination, advertising, and consumption. Recent work analyzing…
Evolution of Privacy Loss in Wikipedia
Marian-Andrei Rizoiu, Lexing Xie, Tiberio Caetano +1
The cumulative effect of collective online participation has an important and adverse impact on individual privacy. As an online system evolves over time, new digital traces of ind…
Tracking Large-Scale Video Remix in Real-World Events
Lexing Xie, Apostol Natsev, Xuming He +3
Social information networks, such as YouTube, contains traces of both explicit online interaction (such as "like", leaving a comment, or subscribing to video feed), and latent inte…
Social Event Detection with Interaction Graph Modeling
Yanxiang Wang, Hari Sundaram, Lexing Xie
This paper focuses on detecting social, physical-world events from photos posted on social media sites. The problem is important: cheap media capture devices have significantly inc…