DeepAI AI Chat
Log In Sign Up

Adversarial Training for Satire Detection: Controlling for Confounding Variables

by   Robert McHardy, et al.

The automatic detection of satire vs. regular news is relevant for downstream applications (for instance, knowledge base population) and to improve the understanding of linguistic characteristics of satire. Recent approaches build upon corpora which have been labeled automatically based on article sources. We hypothesize that this encourages the models to learn characteristics for different publication sources (e.g., "The Onion" vs. "The Guardian") rather than characteristics of satire, leading to poor generalization performance to unseen publication sources. We therefore propose a novel model for satire detection with an adversarial component to control for the confounding variable of publication source. On a large novel data set collected from German news (which we make available to the research community), we observe comparable satire classification performance and, as desired, a considerable drop in publication classification performance with adversarial training. Our analysis shows that the adversarial component is crucial for the model to learn to pay attention to linguistic properties of satire.


page 1

page 2

page 3

page 4


FreSaDa: A French Satire Data Set for Cross-Domain Satire Detection

In this paper, we introduce FreSaDa, a French Satire Data Set, which is ...

A Closer Look at Smoothness in Domain Adversarial Training

Domain adversarial training has been ubiquitous for achieving invariant ...

Hidden Biases in Unreliable News Detection Datasets

Automatic unreliable news detection is a research problem with great pot...

Mislabel Detection of Finnish Publication Ranks

The paper proposes to analyze a data set of Finnish ranks of academic pu...

Deepfake Forensics via An Adversarial Game

With the progress in AI-based facial forgery (i.e., deepfake), people ar...

Analyzing the Impact of Foursquare and Streetlight Data with Human Demographics on Future Crime Prediction

Finding the factors contributing to criminal activities and their conseq...