Twitter Bot Detection
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Benchmarks
MGTAB
MIB Dataset
Most implemented
Evading classifiers in discrete domains with provable optimality guarantees
LMBot: Distilling Graph Knowledge into Language Model for Graph-less Deployment in Twitter Bot Detection
Simplistic Collection and Labeling Practices Limit the Utility of Benchmark Datasets for Twitter Bot Detection
MGTAB: A Multi-Relational Graph-Based Twitter Account Detection Benchmark
TwiBot-22: Towards Graph-Based Twitter Bot Detection
Papers
BotUmc: An Uncertainty-Aware Twitter Bot Detection with Multi-view Causal Inference
Social bots have become widely known by users of social platforms. To prevent social bots from spreading harmful speech, many novel bot detections are proposed. However, with the evolution of social bots, detection metho…
Causal InferenceTwitter Bot DetectionIteration over event space in time-to-first-spike spiking neural networks for Twitter bot classification
This study proposes a framework that extends existing time-coding time-to-first-spike spiking neural network (SNN) models to allow processing information changing over time. We explain spike propagation through a model w…
Twitter Bot DetectionLMBot: Distilling Graph Knowledge into Language Model for Graph-less Deployment in Twitter Bot Detection
As malicious actors employ increasingly advanced and widespread bots to disseminate misinformation and manipulate public opinion, the detection of Twitter bots has become a crucial task. Though graph-based Twitter bot de…
Domain AdaptationLanguage ModelingLanguage ModellingMisinformation+1BotArtist: Generic approach for bot detection in Twitter via semi-automatic machine learning pipeline
Twitter, as one of the most popular social networks, provides a platform for communication and online discourse. Unfortunately, it has also become a target for bots and fake accounts, resulting in the spread of false inf…
Language ModellingLarge Language ModelTwitter Bot DetectionSimplistic Collection and Labeling Practices Limit the Utility of Benchmark Datasets for Twitter Bot Detection
Accurate bot detection is necessary for the safety and integrity of online platforms. It is also crucial for research on the influence of bots in elections, the spread of misinformation, and financial market manipulation…
MisinformationTwitter Bot DetectionMGTAB: A Multi-Relational Graph-Based Twitter Account Detection Benchmark
The development of social media user stance detection and bot detection methods rely heavily on large-scale and high-quality benchmarks. However, in addition to low annotation quality, existing benchmarks generally have …
Node ClassificationStance DetectionTwitter Bot Detection