Papers with Mental manipulation
SELF-PERCEPT: Introspection Improves Large Language Models’ Detection of Multi-Person Mental Manipulation in Conversations (2025.acl-short)
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Danush Khanna, Pratinav Seth, Sidhaarth Sredharan Murali, Aditya Kumar Guru, Siddharth Shukla, Tanuj Tyagi, Sandeep Chaurasia, Kripabandhu Ghosh
| Challenge: | Mental manipulation is subtle yet pervasive form of abuse in interpersonal communication, making its detection critical for safeguarding potential victims. |
| Approach: | They propose a dataset of 220 multi-turn, multi-person dialogues balanced between manipulative and non-manipulative interactions drawn from reality shows that mimic real-life scenarios. |
| Outcome: | The proposed framework shows that it can detect multi-person, multi-turn mental manipulation in multi-people conversations. |
MentalManip: A Dataset For Fine-grained Analysis of Mental Manipulation in Conversations (2024.acl-long)
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| Challenge: | Existing studies on mental manipulation focus on context-free content and face challenges in identifying implicit toxicity. |
| Approach: | They propose a dataset that analyzes mental manipulation and its components . they propose to use 4,000 fictional dialogues to identify the techniques utilized for manipulation . |
| Outcome: | The proposed dataset enables a comprehensive analysis of mental manipulation . it shows that leading-edge models inadequately identify and categorize manipulative content . |
Detecting Conversational Mental Manipulation with Intent-Aware Prompting (2025.coling-main)
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| Challenge: | Existing approaches to detect mental manipulations are limited due to complexity of detecting subtle, covert tactics in conversations. |
| Approach: | They propose an approach to detect mental manipulations using large language models using intent-aware prompting by capturing the intents of participants. |
| Outcome: | The proposed approach significantly reduces false negatives, helping detect more instances of mental manipulation with minimal misjudgment of positive cases. |