mlsanityData to 14 Oct 2026

MentalManip: A Dataset For Fine-grained Analysis of Mental Manipulation in Conversations

arXiv 2405.16584 ↗First posted 26 May 2024cs.CLcited by 21

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Abstract (arXiv)

Mental manipulation, a significant form of abuse in interpersonal conversations, presents a challenge to identify due to its context-dependent and often subtle nature. The detection of manipulative language is essential for protecting potential victims, yet the field of Natural Language Processing (NLP) currently faces a scarcity of resources and research on this topic. Our study addresses this gap by introducing a new dataset, named rm Msmall entalMsmall anip, which consists of 4,000 annotated movie dialogues. This dataset enables a comprehensive analysis of mental manipulation, pinpointing both the techniques utilized for manipulation and the vulnerabilities targeted in victims. Our research further explores the effectiveness of leading-edge models in recognizing manipulative dialogue and its components through a series of experiments with various configurations. The results demonstrate that these models inadequately identify and categorize manipulative content. Attempts to improve their performance by fine-tuning with existing datasets on mental health and toxicity have not overcome these limitations. We anticipate that rm Msmall entalMsmall anip will stimulate further research, leading to progress in both understanding and mitigating the impact of mental manipulation in conversations.

Key facts. Cited by 21 papers in the map (data through 14 Oct 2026). Builds on 15 of its 53 references that are in the map. First posted on arXiv 26 May 2024.

Builds on

15 of 53 references.

References · 15

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3 more
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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 2; 2025: 11; 2026: 8.

21 papers.

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  1. 2025Human Decision-making is Susceptible to AI-driven Manipulationcited by 19
  2. 2024Detecting Conversational Mental Manipulation with Intent-Aware Promptingcited by 16
  3. 2024Enhanced Detection of Conversational Mental Manipulation Through Advanced Prompting Techniquescited by 7
  4. 2025ProMind-LLM: Proactive Mental Health Care via Causal Reasoning with Sensor Datacited by 6
  5. 2025Communication is All You Need: Persuasion Dataset Construction via Multi-LLM Communicationcited by 5
  6. 2025ChatbotManip: A Dataset to Facilitate Evaluation and Oversight of Manipulative Chatbot Behaviourcited by 4
  7. 2025Probing Association Biases in LLM Moderation Over-Sensitivitycited by 3
  8. 2025Boosting Large Language Models for Mental Manipulation Detection via Data Augmentation and Distillationcited by 2
  9. 2025SELF-PERCEPT: Introspection Improves Large Language Models' Detection of Multi-Person Mental Manipulation in Conversationscited by 2
  10. 2025Unraveling SITT: Social Influence Technique Taxonomy and Detection with LLMscited by 2
  11. 2026The Hidden Puppet Master: Predicting Human Belief Change in Manipulative LLM Dialoguescited by 2
  12. 2025CLAIM: An Intent-Driven Multi-Agent Framework for Analyzing Manipulation in Courtroom Dialoguescited by 1
9 more
  1. 2026Detecting Mental Manipulation in Speech via Synthetic Multi-Speaker Dialoguecited by 1
  2. 2026EchoGuard: An Agentic Framework with Knowledge-Graph Memory for Detecting Manipulative Communication in Longitudinal Dialoguecited by 1
  3. 2026Vishing-Tactics-Bench: Forecasting Exploitation Trajectories in Voice Phishing Callscited by 1
  4. 2025Advancing Uto-Aztecan Language Technologies: A Case Study on the Endangered Comanche Languagecited by 0
  5. 2025Explainable Detection of Implicit Influential Patterns in Conversations via Data Augmentationcited by 0
  6. 2026Train Yourself as an LLM: Exploring Effects of AI Literacy on Persuasion via Role-playing LLM Trainingcited by 0
  7. 2026LLM Wardens: Mitigating Adversarial Persuasion with Third-Party Conversational Oversightcited by 0
  8. 2026IMPACTeen: Intentions, Manipulation, Persuasion, Annotations, and Consequences in Teen Communication Datasetcited by 0
  9. 2026ConVAWG: A Retrieval-Grounded Framework for Controlled Synthetic Dialogue Generation in Violence Against Women and Girlscited by 0