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[PDF][PDF] How noisy social media text, how diffrnt social media sources?
While various claims have been made about text in social media text being noisy, there has
never been a systematic study to investigate just how linguistically noisy or otherwise it is …
never been a systematic study to investigate just how linguistically noisy or otherwise it is …
Disturbed YouTube for kids: Characterizing and detecting inappropriate videos targeting young children
A large number of the most-subscribed YouTube channels target children of very young age.
Hundreds of toddler-oriented channels on YouTube feature inoffensive, well produced, and …
Hundreds of toddler-oriented channels on YouTube feature inoffensive, well produced, and …
Online social network analysis: A survey of research applications in computer science
The emergence and popularization of online social networks suddenly made available a
large amount of data from social organization, interaction and human behavior. All this …
large amount of data from social organization, interaction and human behavior. All this …
[PDF][PDF] Social spammer detection in microblogging.
The availability of microblogging, like Twitter and Sina Weibo, makes it a popular platform for
spammers to unfairly overpower normal users with unwanted content via social networks …
spammers to unfairly overpower normal users with unwanted content via social networks …
Analyzing disinformation and crowd manipulation tactics on YouTube
YouTube, since its inception in 2005, has grown to become largest online video sharing
website. It's massive userbase uploads videos and generates discussion by commenting on …
website. It's massive userbase uploads videos and generates discussion by commenting on …
N-gram assisted youtube spam comment detection
This paper proposes a novel methodology for the detection of intrusive comments or spam
on the video-sharing website-Youtube. We describe spam comments as those which have a …
on the video-sharing website-Youtube. We describe spam comments as those which have a …
Semantic analysis on social networks: A survey
As social networks are getting more and more popular day by day, large numbers of users
becoming constantly active social network users. In this way, there is a huge amount of data …
becoming constantly active social network users. In this way, there is a huge amount of data …
Reverse nearest neighbors in large graphs
A reverse nearest neighbor (RNN) query returns the data objects that have a query point as
their nearest neighbor (NN). Although such queries have been studied quite extensively in …
their nearest neighbor (NN). Although such queries have been studied quite extensively in …
Commit: A scalable approach to mining communication motifs from dynamic networks
A fundamental problem in behavioral analysis of human interactions is to understand how
communications unfold. In this paper, we study this problem by mining Communication …
communications unfold. In this paper, we study this problem by mining Communication …
Constrained NMF-based semi-supervised learning for social media spammer detection
Within the past few years, social media platforms such as Facebook, Twitter, and Sina
Weibo, have gradually become important channels for information dissemination and …
Weibo, have gradually become important channels for information dissemination and …