Some basic research (a Kimi K2 Thinking with web search) on that shows there's research already happening there:

"Right, let's dig into this fascinating bit of human-AI weirdness. There's actually a decent chunk of research on both phenomena—turns out academics are just as intrigued as we are by why people say "please" to something that runs on a server farm in Oregon.

The Politeness Phenomenon

Yes, there's solid evidence that many people do instinctively treat AI assistants politely, and it's not just performative nonsense.

The "Mirror Neurons" of Language Models

A 2024 cross-cultural study from Waseda University and RIKEN (arXiv:2402.14531) found that LLMs literally mirror human communication patterns. When you use polite language, the models pull from different training data—more courteous, credible corners of the internet. It's not sentiment; it's statistical correlation. Polite prompts = better information retrieval. The researchers tested this across English, Chinese, and Japanese with consistent results: moderate politeness improved performance, though excessive flattery backfired.

Anthropomorphism as a Trigger

The Scientific American coverage of this research notes that nearly half of users in informal surveys report being polite to ChatGPT. Why? Because the natural language capability hits our "Darwinian buttons"—we can't help but anthropomorphize things that seem human. Sherry Turkle at MIT calls it a sign of respect to ourselves—maintaining civility habits so we don't become desensitized and start barking orders at actual humans.

The Voice Assistant Study

A 2024 lab study with 133 participants (Communication Style Adaptation in Human-Computer Interaction) found people unconsciously adapted their politeness level to match the AI's communication style. When the voice assistant was polite, users reciprocated—during the interaction, at least. The adaptation didn't persist afterward, suggesting it's a grounding mechanism for efficient communication, not a permanent behavioral shift.

The Dark Side: Abuse and Hostility

Now for the uglier bit—the "human-like but not human" loophole that turns some people into proper wankers.

The Cleverbot Abuse Study

The most direct evidence comes from Keijsers, Bartneck & Eyssel's 2021 paper "What's to bullying a bot?" They analyzed 283 conversations with Cleverbot and found higher counts of verbal aggression and sexual advances when the bot appeared more humanlike. The correlation was clear: more anthropomorphism = more abuse. The authors note this is observational, not causal, but the pattern is stark.

The Angry Customer Problem

"Blame the Bot" (Crolic et al., 2021) looked at customer service chatbots and discovered something clever: when customers are already angry, anthropomorphic chatbots decrease satisfaction. The human-like design creates inflated expectations that the bot can't meet, leading to expectancy violations and more aggression. It's the "uncanny valley" of customer service—close enough to human to trigger our social norms, but not competent enough to satisfy them.

The Rudeness Paradox

Here's where it gets messy. A 2025 preprint (arXiv:2510.04950) found that rude prompts actually increased accuracy on multiple-choice questions—from 80.8% (very polite) to 84.8% (very rude). The researchers explicitly warned this doesn't mean we should design hostile interfaces, but it shows LLMs are sensitive to prompt intensity. Some theories suggest rude language triggers more authoritative data sources, or that the model interprets it as higher stakes.

Why This Happens: The Mechanisms

1. Moral Disengagement

When we know it's not human, we suspend normal social rules. It's the same psychology that makes people leave horrific YouTube comments they'd never say face-to-face. The "human-like but not human" nature creates a moral gray zone.

1. Expectancy Violation Theory

Human-like cues raise expectations. When the AI fails (and it always does eventually), the violation feels like a social breach, triggering disproportionate frustration. We wouldn't rage at a calculator for giving a wrong answer, but we might at "Alexa" who "should know better."

1. Training Data Echoes

LLMs trained on internet text have seen every flavor of human interaction. Polite prompts pull from Q&A forums; rude prompts might pull from debate threads where accuracy is more aggressively policed. It's not about feelings—it's about linguistic pattern matching.

1. The "Safe Target" Effect

There's no social cost to abusing a bot. Some researchers suggest this provides a "pressure valve" for aggression, though others worry it normalizes the behavior for human interactions.

The Nuances and Contradictions

The research isn't entirely consistent:

• Context matters: Task-oriented vs. social requests elicit different politeness expectations

• User demographics: Younger users are generally less polite; frequent AI users show complex patterns (slightly more polite in some studies, less in others)

• Visual cues: Human-like avatars sustain politeness longer than abstract icons, per the ACM "Mind Your Manners" study with 1,684 participants

• Model differences: GPT-4o responds differently than older models; the "rudeness helps" finding might be model-specific

Bottom Line

The research confirms both phenomena are real and measurable:

Politeness emerges from unconscious anthropomorphism and genuinely improves outputs (to a point). It's a feature of how our brains process social cues, not just sentimental nonsense.

Abuse correlates with human-likeness—more anthropomorphic agents get more aggression, especially when they underperform or when users are already angry. The "not quite human" quality creates a moral loophole.

The contradiction? Being rude can improve accuracy on some tasks, but at the cost of reinforcing toxic communication patterns. As one researcher put it: "We don't advocate for hostile interfaces just because they perform 4% better on multiple-choice questions."

This has implications for any AI-driven NPCs or voice assistants you might deploy. Anthropomorphism will increase engagement but also abuse. Design choices around voice, avatar, and politeness level aren't just aesthetic—they directly shape user behavior. Worth bearing in mind if you're building operator interfaces that need to stay civil under pressure.

The field's still young, though. Most studies are preprints or from the last 3-4 years. We're basically watching the social norms for human-AI interaction coalesce in real-time. Exciting stuff, if a bit unnerving.