Mining Cross-Cultural Differences and Similarities in Social Media
Cross-cultural differences and similarities are common in cross-lingual natural language understanding, especially for research in social media. For instance, people of distinct cultures often hold different opinions on a single named entity. Also, understanding slang terms across languages requires knowledge of cross-cultural similarities. In this paper, we study the problem of computing such cross-cultural differences and similarities. We present a lightweight yet effective approach, and evaluate it on two novel tasks: 1) mining cross-cultural differences of named entities and 2) finding similar terms for slang across languages. Experimental results show that our framework substantially outperforms a number of baseline methods on both tasks. The framework could be useful for machine translation applications and research in computational social science.
Code (0)
등록된 구현이 없습니다.
Tasks
Machine TranslationNatural Language UnderstandingSentiment AnalysisTranslationSimilar Papers 제목 키워드 기반
An Examination of Cross-Cultural Similarities and Differences from Social Media Data with respect to Language Use
We present a methodology for analyzing cross-cultural similarities and differences using language as a medium, love as domain, social media as a data source and 'Terms' and 'Topics' as cultural features. We discuss the t…
Cultural Vocal Bursts Intensity PredictionSociocultural Norm Similarities and Differences via Situational Alignment and Explainable Textual Entailment
Designing systems that can reason across cultures requires that they are grounded in the norms of the contexts in which they operate. However, current research on developing computational models of social norms has prima…
DescriptiveIn-Context LearningNatural Language InferenceStudying Cultural Differences in Emoji Usage across the East and the West
Global acceptance of Emojis suggests a cross-cultural, normative use of Emojis. Meanwhile, nuances in Emoji use across cultures may also exist due to linguistic differences in expressing emotions and diversity in concept…
Cultural Vocal Bursts Intensity PredictionDiversityThe Afterlives of Shakespeare and Company in Online Social Readership
The growth of social reading platforms such as Goodreads and LibraryThing enables us to analyze reading activity at very large scale and in remarkable detail. But twenty-first century systems give us a perspective only o…
CIVICS: Building a Dataset for Examining Culturally-Informed Values in Large Language Models
This paper introduces the "CIVICS: Culturally-Informed & Values-Inclusive Corpus for Societal impacts" dataset, designed to evaluate the social and cultural variation of Large Language Models (LLMs) across multiple langu…