Can deep learning techniques improve classification performance of vandalism detection in Wikipedia?
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Summary
This work implements one of these automatic detection systems, which uses three sets of new features based on different techniques, and studies the applicability of a leading technology as deep learning to the problem of vandalism detection.
- Type
- article
- Published
- 2019-02-01
- Cited by
- 17
- References
- 35
- Access
- Open access
- OpenAlex
- https://openalex.org/W2904937577
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:57661284
Keywords
Computer science, Encyclopedia, Clef, Artificial intelligence, Deep learning
References
- WHAD: Wikipedia historical attributes data - Historical structured data extraction and vandalism detection from the Wikipedia edit history
- Multilingual Vandalism Detection using Language-Independent & Ex Post Facto Evidence - Notebook for PAN at CLEF 2011
- Efficient Estimation of Word Representations in Vector Space
- Elusive vandalism detection in wikipedia: a text stability-based approach
- VEWS: A Wikipedia Vandal Early Warning System
- Computing trust from revision history
- Classifying Wikipedia articles using network motif counts and ratios
- Wikipedia vandalism detection
- Learning Deep Architectures for AI
- Detecting Wikipedia vandalism via spatio-temporal analysis of revision metadata?
- Assessing quality score of Wikipedia article using mutual evaluation of editors and texts
- Using dynamic markov compression to detect vandalism in the wikipedia
- Vandalism detection in Wikipedia: a high-performing, feature-rich model and its reduction through Lasso
- Language of Vandalism: Improving Wikipedia Vandalism Detection via Stylometric Analysis
- The illiterate editor: metadata-driven revert detection in Wikipedia
- Theano: A CPU and GPU Math Compiler in Python
- Distributed Representations of Words and Phrases and their Compositionality
- MapReduce: simplified data processing on large clusters
- GloVe: Global Vectors for Word Representation
- Machine learning based detection of vandalism in Wikipedia across languages
Cited by
- A survey of word embeddings based on deep learning
- A 2020 perspective on "Scalable modelling and recommendation using wiki-based crowdsourced repositories: " Fairness, scalability, and real-time recommendation
- Vandalism detection in crowdsourced knowledge bases
- H-WordNet: a holistic convolutional neural network approach for handwritten word recognition
- Palm oil classification using deep learning
- Application of Wireless Accelerometer Mounted on Wheel Rim for Parked Car Monitoring
- Mining the online infosphere: A survey
- Vandalism Detection in OpenStreetMap via User Embeddings
- Assessing Information Quality of Wikipedia Articles through Google’s E-A-T Model
- JSON document clustering based on schema embeddings
- Wikinformetrics: Construction and description of an open Wikipedia knowledge graph data set for informetric purposes
- A Survey on Detecting Vandalism in Crowdsourcing Models
- Genetic data visualization using literature text-based neural networks: Examples associated with myocardial infarction
- CyberVandalism Detection in Wikipedia Using Light Architecture of 1D-CNN
- Interpretable Classification of Wiki-Review Streams
- Leveraging Large Language Models and Deep Learning for Wikipedia Quality Assessment
- Offensive Language Detection on Social Media Using XLNet
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