Standard
Fool’s Errand: Looking at April Fools Hoaxes as Disinformation Through the Lens of Deception and Humour. /
Dearden, Edward; Baron, Alistair.
Computational Linguistics and Intelligent Text Processing: 20th International Conference, CICLing 2019, La Rochelle, France, April 7–13, 2019, Revised Selected Papers, Part I. ed. / Alexander Gelbukh. Cham: Springer, 2023. p. 451-467 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13451 LNCS).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Harvard
Dearden, E & Baron, A 2023,
Fool’s Errand: Looking at April Fools Hoaxes as Disinformation Through the Lens of Deception and Humour. in A Gelbukh (ed.),
Computational Linguistics and Intelligent Text Processing: 20th International Conference, CICLing 2019, La Rochelle, France, April 7–13, 2019, Revised Selected Papers, Part I. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13451 LNCS, Springer, Cham, pp. 451-467, 20th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2019, La Rochelle, France,
7/04/19.
https://doi.org/10.1007/978-3-031-24337-0_32
APA
Dearden, E., & Baron, A. (2023).
Fool’s Errand: Looking at April Fools Hoaxes as Disinformation Through the Lens of Deception and Humour. In A. Gelbukh (Ed.),
Computational Linguistics and Intelligent Text Processing: 20th International Conference, CICLing 2019, La Rochelle, France, April 7–13, 2019, Revised Selected Papers, Part I (pp. 451-467). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13451 LNCS). Springer.
https://doi.org/10.1007/978-3-031-24337-0_32
Vancouver
Dearden E, Baron A.
Fool’s Errand: Looking at April Fools Hoaxes as Disinformation Through the Lens of Deception and Humour. In Gelbukh A, editor, Computational Linguistics and Intelligent Text Processing: 20th International Conference, CICLing 2019, La Rochelle, France, April 7–13, 2019, Revised Selected Papers, Part I. Cham: Springer. 2023. p. 451-467. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2019 Apr 7. doi: 10.1007/978-3-031-24337-0_32
Author
Dearden, Edward ; Baron, Alistair. /
Fool’s Errand : Looking at April Fools Hoaxes as Disinformation Through the Lens of Deception and Humour. Computational Linguistics and Intelligent Text Processing: 20th International Conference, CICLing 2019, La Rochelle, France, April 7–13, 2019, Revised Selected Papers, Part I. editor / Alexander Gelbukh. Cham : Springer, 2023. pp. 451-467 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Bibtex
@inproceedings{645616464d064fd4abaeb4c29bf8dcc2,
title = "Fool{\textquoteright}s Errand: Looking at April Fools Hoaxes as Disinformation Through the Lens of Deception and Humour",
abstract = "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{\textquoteright} day. We create a dataset of April Fools{\textquoteright} 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{\textquoteright}. We propose that these features are also very useful for understanding Fake News, and disinformation more widely.",
keywords = "April Fools, Deception, Disinformation, Fake news",
author = "Edward Dearden and Alistair Baron",
year = "2023",
month = feb,
day = "26",
doi = "10.1007/978-3-031-24337-0_32",
language = "English",
isbn = "9783031243363",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "451--467",
editor = "Alexander Gelbukh",
booktitle = "Computational Linguistics and Intelligent Text Processing",
note = "20th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2019 ; Conference date: 07-04-2019 Through 13-04-2019",
}
RIS
TY - GEN
T1 - Fool’s Errand
T2 - 20th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2019
AU - Dearden, Edward
AU - Baron, Alistair
PY - 2023/2/26
Y1 - 2023/2/26
N2 - 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.
AB - 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.
KW - April Fools
KW - Deception
KW - Disinformation
KW - Fake news
U2 - 10.1007/978-3-031-24337-0_32
DO - 10.1007/978-3-031-24337-0_32
M3 - Conference contribution/Paper
AN - SCOPUS:85149940718
SN - 9783031243363
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 451
EP - 467
BT - Computational Linguistics and Intelligent Text Processing
A2 - Gelbukh, Alexander
PB - Springer
CY - Cham
Y2 - 7 April 2019 through 13 April 2019
ER -
