Fake news detection on social media: A data mining perspective

K Shu, A Sliva, S Wang, J Tang, H Liu - ACM SIGKDD explorations …, 2017 - dl.acm.org
Social media for news consumption is a double-edged sword. On the one hand, its low cost,
easy access, and rapid dissemination of information lead people to seek out and consume …

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 …

[HTML][HTML] The spread of low-credibility content by social bots

C Shao, GL Ciampaglia, O Varol, KC Yang… - Nature …, 2018 - nature.com
The massive spread of digital misinformation has been identified as a major threat to
democracies. Communication, cognitive, social, and computer scientists are studying the …

Detecting rumors from microblogs with recurrent neural networks

J Ma, W Gao, P Mitra, S Kwon, BJ Jansen, KF Wong… - 2016 - ink.library.smu.edu.sg
Microblogging platforms are an ideal place for spreading rumors and automatically
debunking rumors is a crucial problem. To detect rumors, existing approaches have relied …

Graph based anomaly detection and description: a survey

L Akoglu, H Tong, D Koutra - Data mining and knowledge discovery, 2015 - Springer
Detecting anomalies in data is a vital task, with numerous high-impact applications in areas
such as security, finance, health care, and law enforcement. While numerous techniques …

A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks

D Antonakaki, P Fragopoulou, S Ioannidis - Expert systems with …, 2021 - Elsevier
Twitter is the third most popular worldwide Online Social Network (OSN) after Facebook and
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …

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 …

You are where you tweet: a content-based approach to geo-locating twitter users

Z Cheng, J Caverlee, K Lee - Proceedings of the 19th ACM international …, 2010 - dl.acm.org
We propose and evaluate a probabilistic framework for estimating a Twitter user's city-level
location based purely on the content of the user's tweets, even in the absence of any other …

The paradigm-shift of social spambots: Evidence, theories, and tools for the arms race

S Cresci, R Di Pietro, M Petrocchi… - Proceedings of the 26th …, 2017 - dl.acm.org
Recent studies in social media spam and automation provide anecdotal argumentation of
the rise of a new generation of spambots, so-called social spambots. Here, for the first time …

Fame for sale: Efficient detection of fake Twitter followers

S Cresci, R Di Pietro, M Petrocchi, A Spognardi… - Decision Support …, 2015 - Elsevier
Fake followers are those Twitter accounts specifically created to inflate the number of
followers of a target account. Fake followers are dangerous for the social platform and …