Social Norms in Cinema: A Cross-Cultural Analysis of Shame, Pride and Prejudice

• URL: http://arxiv.org/abs/2402.11333v4
• Date: Tue, 15 Oct 2024 21:57:36 GMT
• Title: Social Norms in Cinema: A Cross-Cultural Analysis of Shame, Pride and Prejudice
• Authors: Sunny Rai, Khushang Jilesh Zaveri, Shreya Havaldar, Soumna Nema, Lyle Ungar, Sharath Chandra Guntuku,
• Abstract summary: We introduce the first cross-cultural dataset of over 10k shame/pride-related expressions. We find significant cross-cultural differences in shame and pride expression aligning with known cultural tendencies of the USA and India.
• Score: 8.372104468081307
• License:
• Abstract: Shame and pride are social emotions expressed across cultures to motivate and regulate people's thoughts, feelings, and behaviors. In this paper, we introduce the first cross-cultural dataset of over 10k shame/pride-related expressions, with underlying social expectations from ~5.4K Bollywood and Hollywood movies. We examine how and why shame and pride are expressed across cultures using a blend of psychology-informed language analysis combined with large language models. We find significant cross-cultural differences in shame and pride expression aligning with known cultural tendencies of the USA and India -- e.g., in Hollywood, shame-expressions predominantly discuss self whereas Bollywood discusses shame toward others. Pride in Hollywood is individualistic with more self-referential singular pronouns such as I and my whereas in Bollywood, pride is collective with higher use of self-referential plural pronouns such as we and our. Lastly, women are more sanctioned across cultures and for violating similar social expectations e.g. promiscuity.

Related papers

• LLM-Human Pipeline for Cultural Context Grounding of Conversations [22.016345507132808]
  Adherence or violation of social norms often dictates the tenor of conversations. We introduce a "Cultural Context" for conversations. We generate 110k social norm and violation descriptions for 23k conversations from Chinese culture.
  arXiv  Detail & Related papers  (2024-10-17T16:33:01Z)
• "A Woman is More Culturally Knowledgeable than A Man?": The Effect of Personas on Cultural Norm Interpretation in LLMs [1.6606527887256324]
  We investigate whether an LLM's understanding of social norms varies across personas assigned. A norm is universal within its cultural context. We find that LLMs' cultural norm interpretation varies based on the persona used.
  arXiv  Detail & Related papers  (2024-09-18T01:56:34Z)
• See It from My Perspective: Diagnosing the Western Cultural Bias of Large Vision-Language Models in Image Understanding [78.88461026069862]
  Vision-language models (VLMs) can respond to queries about images in many languages. We present a novel investigation that demonstrates and localizes Western bias in image understanding.
  arXiv  Detail & Related papers  (2024-06-17T15:49:51Z)
• CULTURE-GEN: Revealing Global Cultural Perception in Language Models through Natural Language Prompting [73.94059188347582]
  We uncover culture perceptions of three SOTA models on 110 countries and regions on 8 culture-related topics through culture-conditioned generations. We discover that culture-conditioned generation consist of linguistic "markers" that distinguish marginalized cultures apart from default cultures.
  arXiv  Detail & Related papers  (2024-04-16T00:50:43Z)
• Disentangling Perceptions of Offensiveness: Cultural and Moral Correlates [4.857640117519813]
  We argue that cultural and psychological factors play a vital role in the cognitive processing of offensiveness. We demonstrate substantial cross-cultural differences in perceptions of offensiveness. Individual moral values play a crucial role in shaping these variations.
  arXiv  Detail & Related papers  (2023-12-11T22:12:20Z)
• Not All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language Models [89.94270049334479]
  This paper identifies a cultural dominance issue within large language models (LLMs) LLMs often provide inappropriate English-culture-related answers that are not relevant to the expected culture when users ask in non-English languages.
  arXiv  Detail & Related papers  (2023-10-19T05:38:23Z)
• Socratis: Are large multimodal models emotionally aware? [63.912414283486555]
  Existing emotion prediction benchmarks do not consider the diversity of emotions that an image and text can elicit in humans due to various reasons. We propose Socratis, a societal reactions benchmark, where each image-caption (IC) pair is annotated with multiple emotions and the reasons for feeling them. We benchmark the capability of state-of-the-art multimodal large language models to generate the reasons for feeling an emotion given an IC pair.
  arXiv  Detail & Related papers  (2023-08-31T13:59:35Z)
• The Face of Populism: Examining Differences in Facial Emotional Expressions of Political Leaders Using Machine Learning [50.24983453990065]
  We use a deep-learning approach to process a sample of 220 YouTube videos of political leaders from 15 different countries. We observe statistically significant differences in the average score of negative emotions between groups of leaders with varying degrees of populist rhetoric.
  arXiv  Detail & Related papers  (2023-04-19T18:32:49Z)
• A Moral- and Event- Centric Inspection of Gender Bias in Fairy Tales at A Large Scale [50.92540580640479]
  We computationally analyze gender bias in a fairy tale dataset containing 624 fairy tales from 7 different cultures. We find that the number of male characters is two times that of female characters, showing a disproportionate gender representation. Female characters turn out more associated with care-, loyalty- and sanctity- related moral words, while male characters are more associated with fairness- and authority- related moral words.
  arXiv  Detail & Related papers  (2022-11-25T19:38:09Z)
• Morality-based Assertion and Homophily on Social Media: A Cultural Comparison between English and Japanese Languages [8.22469542459168]
  We used the social media platform Twitter for comparing the moral behaviors of Japanese users with English users. The tweets from Japanese users depicted relatively higher Fairness, Ingroup and Purity. As far as emotions related to morality are concerned, the English tweets expressed more positive emotions for all moral dimensions.
  arXiv  Detail & Related papers  (2021-08-24T11:07:46Z)
• Gender Bias, Social Bias and Representation: 70 Years of B$^H$ollywood [32.340056383090044]
  No comprehensive NLP study on the evolution of social and gender biases in Bollywood dialogues exists. We seek to understand the portrayal of women, in a broader context studying subtle social signals. Our argument is simple -- popular movie content reflects social norms and beliefs in some form or shape.
  arXiv  Detail & Related papers  (2021-02-18T01:27:24Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.