Combating disinformation in a social media age

K Shu, A Bhattacharjee, F Alatawi… - … : Data Mining and …, 2020 - Wiley Online Library
The creation, dissemination, and consumption of disinformation and fabricated content on
social media is a growing concern, especially with the ease of access to such sources, and …

The rise of social bots

E Ferrara, O Varol, C Davis, F Menczer… - Communications of the …, 2016 - dl.acm.org
The rise of social bots Page 1 96 COMMUNICATIONS OF THE ACM | JULY 2016 | VOL. 59 |
NO. 7 review articles ILL US TRA TION B Y ARN0 DOI:10.1145/2818717 Today’s social bots …

Tranco: A research-oriented top sites ranking hardened against manipulation

VL Pochat, T Van Goethem… - arxiv preprint arxiv …, 2018 - arxiv.org
In order to evaluate the prevalence of security and privacy practices on a representative
sample of the Web, researchers rely on website popularity rankings such as the Alexa list …

Online human-bot interactions: Detection, estimation, and characterization

O Varol, E Ferrara, C Davis, F Menczer… - Proceedings of the …, 2017 - ojs.aaai.org
Increasing evidence suggests that a growing amount of social media content is generated
by autonomous entities known as social bots. In this work we present a framework to detect …

Deep neural networks for bot detection

S Kudugunta, E Ferrara - Information Sciences, 2018 - Elsevier
The problem of detecting bots, automated social media accounts governed by software but
disguising as human users, has strong implications. For example, bots have been used to …

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 …

Fraudar: Bounding graph fraud in the face of camouflage

B Hooi, HA Song, A Beutel, N Shah, K Shin… - Proceedings of the …, 2016 - dl.acm.org
Given a bipartite graph of users and the products that they review, or followers and
followees, how can we detect fake reviews or follows? Existing fraud detection methods …

Unpacking the social media bot: A typology to guide research and policy

R Gorwa, D Guilbeault - Policy & Internet, 2020 - Wiley Online Library
Amid widespread reports of digital influence operations during major elections,
policymakers, scholars, and journalists have become increasingly interested in the political …

Xblock-eth: Extracting and exploring blockchain data from ethereum

P Zheng, Z Zheng, J Wu, HN Dai - IEEE Open Journal of the …, 2020 - ieeexplore.ieee.org
Blockchain-based cryptocurrencies have received extensive attention recently. Massive data
has been stored on permission-less blockchains. The analysis of massive blockchain data …

Graphfl: A federated learning framework for semi-supervised node classification on graphs

B Wang, A Li, M Pang, H Li… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Graph-based semi-supervised node classification (GraphSSC) has wide applications,
ranging from networking and security to data mining and machine learning, etc. However …