Modeling user posting behavior on social media

Z Xu, Y Zhang, Y Wu, Q Yang - … of the 35th international ACM SIGIR …, 2012 - dl.acm.org
User generated content is the basic element of social media websites. Relatively few studies
have systematically analyzed the motivation to create and share content, especially from the …

Bad news travel fast: A content-based analysis of interestingness on twitter

N Naveed, T Gottron, J Kunegis, AC Alhadi - Proceedings of the 3rd …, 2011 - dl.acm.org
On the microblogging site Twitter, users can forward any message they receive to all of their
followers. This is called a retweet and is usually done when users find a message …

Who is retweeting the tweeters? modeling, originating, and promoting behaviors in the twitter network

P Achananuparp, EP Lim, J Jiang… - ACM Transactions on …, 2012 - dl.acm.org
Real-time microblogging systems such as Twitter offer users an easy and lightweight means
to exchange information. Instead of writing formal and lengthy messages, microbloggers …

Understanding factors that affect response rates in twitter

G Comarela, M Crovella, V Almeida… - Proceedings of the 23rd …, 2012 - dl.acm.org
In information networks where users send messages to one another, the issue of information
overload naturally arises: which are the most important messages? In this paper we study …

Hot topic-aware retweet prediction with masked self-attentive model

R Ma, X Hu, Q Zhang, X Huang, YG Jiang - Proceedings of the 42nd …, 2019 - dl.acm.org
Social media users create millions of microblog entries on various topics each day. Retweet
behaviour play a crucial role in spreading topics on social media. Retweet prediction task …

Predicting the popularity of online articles based on user comments

A Tatar, J Leguay, P Antoniadis, A Limbourg… - Proceedings of the …, 2011 - dl.acm.org
Understanding user participation is fundamental in anticipating the popularity of online
content. In this paper, we explore how the number of users' comments during a short …

It is not just what we say, but how we say them: Lda-based behavior-topic model

M Qiu, F Zhu, J Jiang - Proceedings of the 2013 SIAM international conference …, 2013 - SIAM
Textual information exchanged among users on online social network platforms provides
deep understanding into users' interest and behavioral patterns. However, unlike traditional …

Social clicks: What and who gets read on Twitter?

M Gabielkov, A Ramachandran, A Chaintreau… - Proceedings of the …, 2016 - dl.acm.org
Online news domains increasingly rely on social media to drive traffic to their websites. Yet
we know surprisingly little about how a social media conversation mentioning an online …

Modeling user attitude toward controversial topics in online social media

H Gao, J Mahmud, J Chen, J Nichols… - Proceedings of the …, 2014 - ojs.aaai.org
The increasing use of social media platforms like Twitter has attracted a large number of
online users to express their attitude toward certain topics. Sentiment, opinion, and action …

Analyzing and predicting news popularity on Twitter

B Wu, H Shen - International Journal of Information Management, 2015 - Elsevier
Twitter is not only a social network, but also an increasingly important news media. In
Twitter, retweeting is the most important information propagation mechanism, and …