Your spouse needs professional help: Determining the Contextual Appropriateness of Messages through Modeling Social Relationships
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Abstract (arXiv)
Understanding interpersonal communication requires, in part, understanding the social context and norms in which a message is said. However, current methods for identifying offensive content in such communication largely operate independent of context, with only a few approaches considering community norms or prior conversation as context. Here, we introduce a new approach to identifying inappropriate communication by explicitly modeling the social relationship between the individuals. We introduce a new dataset of contextually-situated judgments of appropriateness and show that large language models can readily incorporate relationship information to accurately identify appropriateness in a given context. Using data from online conversations and movie dialogues, we provide insight into how the relationships themselves function as implicit norms and quantify the degree to which context-sensitivity is needed in different conversation settings. Further, we also demonstrate that contextual-appropriateness judgments are predictive of other social factors expressed in language such as condescension and politeness.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 21 of its 67 references that are in the map. First posted on arXiv 6 Jul 2023.
Builds on
21 of 67 references.
References · 21
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9 more
- 2022Handling Bias in Toxic Speech Detection: A Surveycited by 60
- 2021Whose Opinions Matter? Perspective-aware Models to Identify Opinions of Hate Speech Victims in Abusive Language Detectioncited by 38
- 2021Defining and Detecting Toxicity on Social Media: Context and Knowledge are Keycited by 29
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Built on by
Citing papers per year: 2024: 2; 2025: 3; 2026: 1.
6 papers.
- 2024Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Artcited by 26
- 2024DOSA: A Dataset of Social Artifacts from Different Indian Geographical Subculturescited by 23
- 2025RoleConflictBench: A Benchmark of Role Conflict Scenarios for Evaluating LLMs' Contextual Sensitivitycited by 4
- 2025Are they lovers or friends? Evaluating LLMs' Social Reasoning in English and Korean Dialoguescited by 3
- 2025User Perceptions vs. Proxy LLM Judges: Privacy and Helpfulness in LLM Responses to Privacy-Sensitive Scenarioscited by 1
- 2026TIDES: A Longitudinal Bilingual Dataset for Modeling Multi-Party Social Dynamicscited by 0
- 2026TIDES: A Longitudinal Bilingual Dataset for Modeling Multi-Party Social Dynamics3 Aug 2026
- 2025User Perceptions vs. Proxy LLM Judges: Privacy and Helpfulness in LLM Responses to Privacy-Sensitive Scenarios23 Oct 2025
- 2025Are they lovers or friends? Evaluating LLMs' Social Reasoning in English and Korean Dialogues21 Oct 2025
- 2025RoleConflictBench: A Benchmark of Role Conflict Scenarios for Evaluating LLMs' Contextual Sensitivity30 Sep 2025
- 2024Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Art6 Jun 2024
- 2024DOSA: A Dataset of Social Artifacts from Different Indian Geographical Subcultures23 Feb 2024