HCDec 28, 2021

Pretty Princess vs. Successful Leader: Gender Roles in Greeting Card Messages

arXiv:2112.13980v110 citations
Originality Synthesis-oriented
AI Analysis

This work addresses gender stereotyping in personalized communication for users of greeting cards, though it is incremental as it builds on prior research without introducing new interventions.

The study analyzed gender stereotypes in greeting card messages across three occasions using topic modeling and surveys, finding that people want awareness of gender roles but are unconcerned unless they conflict with the recipient's personality.

People write personalized greeting cards on various occasions. While prior work has studied gender roles in greeting card messages, systematic analysis at scale and tools for raising the awareness of gender stereotyping remain under-investigated. To this end, we collect a large greeting card message corpus covering three different occasions (birthday, Valentine's Day and wedding) from three sources (exemplars from greeting message websites, real-life greetings from social media and language model generated ones). We uncover a wide range of gender stereotypes in this corpus via topic modeling, odds ratio and Word Embedding Association Test (WEAT). We further conduct a survey to understand people's perception of gender roles in messages from this corpus and if gender stereotyping is a concern. The results show that people want to be aware of gender roles in the messages, but remain unconcerned unless the perceived gender roles conflict with the recipient's true personality. In response, we developed GreetA, an interactive visualization and writing assistant tool to visualize fine-grained topics in greeting card messages drafted by the users and the associated gender perception scores, but without suggesting text changes as an intervention.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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