Name
Abstract | ||
|---|---|---|
We present a new resource to analyze and detect deceptive information that is present in a huge amount of news websites. Specifically, we compiled a corpus of news in the Spanish language extracted from several websites. The corpus is annotated with two labels (real and fake) for automatic fake news detection. Furthermore, the corpus also provides the category of the news, presenting a detailed analysis on vocabulary overlap among categories. Finally, we present a style-based fake news detection method. The obtained results show that the introduced corpus is an interesting resource for future research in this area. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.3233/JIFS-179034 | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS |
Keywords | Field | DocType |
Fake news,corpus,Spanish,resource,machine learning | Artificial intelligence,Natural language processing,Fake news,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
36 | SP5 | 1064-1246 |
Citations | PageRank | References |
1 | 0.43 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juan Pablo Posadas-Durán | 1 | 13 | 3.72 |
| Helena Gómez-Adorno | 2 | 40 | 16.01 |
| Grigori Sidorov | 3 | 5 | 4.17 |
| Jesús Jaime Moreno Escobar | 4 | 1 | 0.43 |