A review on social spam detection: Challenges, open issues, and future directions

S Rao, AK Verma, T Bhatia - Expert Systems with Applications, 2021 - Elsevier
Abstract Online Social Networks are perpetually evolving and used in plenteous
applications such as content sharing, chatting, making friends/followers, customer …

Mvae: Multimodal variational autoencoder for fake news detection

D Khattar, JS Goud, M Gupta, V Varma - The world wide web conference, 2019 - dl.acm.org
In recent times, fake news and misinformation have had a disruptive and adverse impact on
our lives. Given the prominence of microblogging networks as a source of news for most …

Misinformation in social media: definition, manipulation, and detection

L Wu, F Morstatter, KM Carley, H Liu - ACM SIGKDD explorations …, 2019 - dl.acm.org
The widespread dissemination of misinformation in social media has recently received a lot
of attention in academia. While the problem of misinformation in social media has been …

Social media identity deception detection: a survey

A Alharbi, H Dong, X Yi, Z Tari, I Khalil - ACM computing surveys (CSUR), 2021 - dl.acm.org
Social media have been growing rapidly and become essential elements of many people's
lives. Meanwhile, social media have also come to be a popular source for identity deception …

Graph convolutional networks with markov random field reasoning for social spammer detection

Y Wu, D Lian, Y Xu, L Wu, E Chen - Proceedings of the AAAI conference on …, 2020 - aaai.org
The recent growth of social networking platforms also led to the emergence of social
spammers, who overwhelm legitimate users with unwanted content. The existing social …

Twitter spam detection: Survey of new approaches and comparative study

T Wu, S Wen, Y **ang, W Zhou - Computers & Security, 2018 - Elsevier
Twitter spam has long been a critical but difficult problem to be addressed. So far,
researchers have proposed many detection and defence methods in order to protect Twitter …

[HTML][HTML] Detecting spammers on social networks

X Zheng, Z Zeng, Z Chen, Y Yu, C Rong - Neurocomputing, 2015 - Elsevier
Social network has become a very popular way for internet users to communicate and
interact online. Users spend plenty of time on famous social networks (eg, Facebook, Twitter …

A hybrid approach for detecting automated spammers in twitter

M Fazil, M Abulaish - IEEE Transactions on Information …, 2018 - ieeexplore.ieee.org
Twitter is one of the most popular microblogging services, which is generally used to share
news and updates through short messages restricted to 280 characters. However, its open …

[PDF][PDF] Social spammer detection in microblogging.

X Hu, J Tang, Y Zhang, H Liu - IJCAI, 2013 - labs.engineering.asu.edu
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 …

Mining social media with social theories: a survey

J Tang, Y Chang, H Liu - ACM Sigkdd Explorations Newsletter, 2014 - dl.acm.org
The increasing popularity of social media encourages more and more users to participate in
various online activities and produces data in an unprecedented rate. Social media data is …