A transformer-based architecture for fake news classification
Bibliographic Data
| ID | 4689846 |
|---|---|
| Authors | Divyam Mehta (National Institute of Technology Karnataka), Aniket Dwivedi (National Institute of Technology Karnataka), Arunabha Patra (National Institute of Technology Karnataka), M Anand Kumar (0000-0003-0310-4510, National Institute of Technology Karnataka, corresponding author) |
| Year | 2021 |
| Volume | 11 |
| Issue | 1 |
| Publication date | 2021-12-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Network Analysis and Mining (JOURNAL) |
| Journal identifiers | ISSN: 1869-5450 • E-ISSN: 1869-5469 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s13278-021-00738-y |
| OpenAlex | W3164279875 |
| Language | EN |
| Citations received | 8 |
| References cited | 21 |
Binary classification · Data science · Encoder · Fake news · Internet privacy · Media studies · Metadata · News media · Social media · Sociology · Transformer · World Wide Web · Computer Science · History · Misinformation and Its Impacts · Spam and Phishing Detection · Topic Modeling · Architecture · Artificial Intelligence
Fact-checking on Twitter
Fake News
Please be polite to your peers
Twitter content curation as an antidote to hybrid warfare during Russia’s invasion of Ukraine
Fake news and risk management
A systematic literature review and existing challenges toward fake news detection models
Fake news detection and corpus establishment from comment data for social network posts
Context-aware sentiment analysis with attention-enhanced features from bidirectional transformers
| Unique citing works | 8 |
|---|---|
| Citations per year | 1,6 |
| Citation span | 2021 - 2024 (4) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 7 |