Submitted manuscript, 307 KB, PDF document
Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License
Accepted author manuscript, 307 KB, PDF document
Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License
Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review
Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review
}
TY - CONF
T1 - Fool’s Errand
T2 - 20th International Conference on Computational Linguistics and<br/>Intelligent Text Processing
AU - Dearden, Edward
AU - Baron, Alistair
PY - 2019/4/7
Y1 - 2019/4/7
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 - Conference paper
Y2 - 7 April 2019 through 13 April 2019
ER -