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  • dearden

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Fool’s Errand: Looking at April Fools Hoaxes as Disinformation through the Lens of Deception and Humour

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNPaper

Forthcoming

Standard

Fool’s Errand : Looking at April Fools Hoaxes as Disinformation through the Lens of Deception and Humour. / Dearden, Edward; Baron, Alistair.

20th International Conference on Computational Linguistics and Intelligent Text Processing. Springer, 2019.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNPaper

Harvard

Dearden, E & Baron, A 2019, Fool’s Errand: Looking at April Fools Hoaxes as Disinformation through the Lens of Deception and Humour. in 20th International Conference on Computational Linguistics and Intelligent Text Processing. Springer.

APA

Dearden, E., & Baron, A. (Accepted/In press). Fool’s Errand: Looking at April Fools Hoaxes as Disinformation through the Lens of Deception and Humour. In 20th International Conference on Computational Linguistics and Intelligent Text Processing Springer.

Vancouver

Dearden E, Baron A. Fool’s Errand: Looking at April Fools Hoaxes as Disinformation through the Lens of Deception and Humour. In 20th International Conference on Computational Linguistics and Intelligent Text Processing. Springer. 2019

Author

Dearden, Edward ; Baron, Alistair. / Fool’s Errand : Looking at April Fools Hoaxes as Disinformation through the Lens of Deception and Humour. 20th International Conference on Computational Linguistics and Intelligent Text Processing. Springer, 2019.

Bibtex

@inbook{3fb534946b3a4f219205d525e87fa080,
title = "Fool’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’ 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.",
author = "Edward Dearden and Alistair Baron",
note = "The final publication is available at Springer via http://dx.doi.org/[insert DOI]",
year = "2019",
month = "2",
day = "22",
language = "English",
booktitle = "20th International Conference on Computational Linguistics and Intelligent Text Processing",
publisher = "Springer",

}

RIS

TY - CHAP

T1 - Fool’s Errand

T2 - Looking at April Fools Hoaxes as Disinformation through the Lens of Deception and Humour

AU - Dearden, Edward

AU - Baron, Alistair

N1 - The final publication is available at Springer via http://dx.doi.org/[insert DOI]

PY - 2019/2/22

Y1 - 2019/2/22

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.

M3 - Paper

BT - 20th International Conference on Computational Linguistics and Intelligent Text Processing

PB - Springer

ER -