Profiling Irony and Stereotype Spreaders on Twitter (IROSTEREO)

Sponsored by
Symanto Research

Synopsis

  • Task: Given a Twitter feed, determine whether its author spreads Irony and Stereotypes.
  • Input: Timelines of authors sharing Irony and Stereotypes towards, for instance, women or the LGTB community.
  • Evaluation: Accuracy
  • Submission: Deployment on TIRA
  • Baselines: Character/word n-grams+ SVM/Logistic Regression, LDSE, ...

Task

With irony, language is employed in a figurative and subtle way to mean the opposite to what is literally stated. In case of sarcasm, a more aggressive type of irony, the intent is to mock or scorn a victim without excluding the possibility to hurt. Stereotypes are often used, especially in discussions about controversial issues such as immigration or sexism and misogyny. At PAN’22, we will focus on profiling ironic authors in Twitter. Special emphasis will be given to those authors that employ irony to spread stereotypes, for instance, towards women or the LGTB community. The goal will be to classify authors as ironic or not depending on their number of tweets with ironic content. Among those authors we will consider a subset that employs irony to convey stereotypes in order to investigate if state-of-the-art models are able to distinguish also these cases. Therefore, given authors of Twitter together with their tweets, the goal will be to profile those authors that can be considered as ironic, and among them those that employ irony to convey stereotypical messages.
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Task Committee