Othering and low status framing of immigrant cuisines in US restaurant reviews and large language models

arXiv:2307.07645v2 Announce Type: replace
Abstract: Identifying implicit attitudes toward food can mitigate social prejudice due to food's salience as a marker of ethnic identity. Stereotypes about food are representational harms that may contribute to racialized discourse and negatively impact economic outcomes for restaurants. Understanding the presence of representational harms in online corpora in particular is important, given the increasing use of large language models (LLMs) for text generation and their tendency to reproduce attitudes in their training data. Through careful …

abstract arxiv cs.ai cs.cl discourse economic food identity impact language language models large language large language models low restaurant restaurants reviews social stereotypes type understanding