Accepted author manuscript, 307 KB, PDF document
Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License
Accepted author manuscript
Licence: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License
Final published version
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
| Publication date | 26/02/2023 |
|---|---|
| Host publication | Computational Linguistics and Intelligent Text Processing: 20th International Conference, CICLing 2019, La Rochelle, France, April 7–13, 2019, Revised Selected Papers, Part I |
| Editors | Alexander Gelbukh |
| Place of Publication | Cham |
| Publisher | Springer |
| Pages | 451-467 |
| Number of pages | 17 |
| ISBN (electronic) | 9783031243370 |
| ISBN (print) | 9783031243363 |
| <mark>Original language</mark> | English |
| Event | 20th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2019 - La Rochelle, France Duration: 7/04/2019 → 13/04/2019 |
| Conference | 20th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2019 |
|---|---|
| Country/Territory | France |
| City | La Rochelle |
| Period | 7/04/19 → 13/04/19 |
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 13451 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (electronic) | 1611-3349 |
| Conference | 20th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2019 |
|---|---|
| Country/Territory | France |
| City | La Rochelle |
| Period | 7/04/19 → 13/04/19 |
Every year on April 1st, people play practical jokes on one another and news websites fabricate false stories with the goal of making fools of their audience. In an age of disinformation, with Facebook under fire for allowing “Fake News” to spread on their platform, every day can feel like April Fools’ day. We create a dataset of April Fools’ hoax news articles and build a set of features based on past research examining deception, humour, and satire. Analysis of our dataset and features suggests that looking at the structural complexity and levels of detail in a text are the most important types of feature in characterising April Fools’. We propose that these features are also very useful for understanding Fake News, and disinformation more widely.