Article detail · 2020
Scalable and Generalizable Social Bot Detection through Data Selection
Journal
Proceedings of the AAAI Conference on Artificial Intelligence- Year
- 2020
- Type
- conference-paper
Data source split
- YÖKSİS venue Proceedings of the AAAI Conference on Artificial Intelligence
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
Abstract
OpenAlex · English
Efficient and reliable social bot classification is crucial for detecting information manipulation on social media. Despite rapid development, state-of-the-art bot detection models still face generalization and scalability challenges, which greatly limit their applications. In this paper we propose a framework that uses minimal account metadata, enabling efficient analysis that scales up to handle the full stream of public tweets of Twitter in real time. To ensure model accuracy, we build a rich collection of labeled datasets for training and validation. We deploy a strict validation system so that model performance on unseen datasets is also optimized, in addition to traditional cross-validation. We find that strategically selecting a subset of training data yields better model accuracy and generalization than exhaustively training on all available data. Thanks to the simplicity of the proposed model, its logic can be interpreted to provide insights into social bot characteristics.
Topics
Citations
OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.
355 citations
OpenAlex cited_by_count (cache / database)
13 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
- Detection of novel social bots by ensembles of specialized classifiers 2020
- Deep learning based social bot detection on twitter 2023
- Just Another Day on Twitter: A Complete 24 Hours of Twitter Data 2023
- Should we agree to disagree about Twitter’s bot problem? 2023
- Are We Secure from Bots? Investigating Vulnerabilities of Botometer 2020
- Mechanisms Driving Online Vaccine Debate During the COVID-19 Pandemic 2024
- First public dataset to study 2023 Turkish general election 2024
- A Profile Analysis of User Interaction in Social Media Using Deep Learning 2021
- Evaluation of Social Bot Detection Models 2022
- Unmasking Twitter Bots: Feature Engineering and Machine Learning for Bot Account Identification 2023