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arxiv: 2606.30942 · v1 · pith:US3MWAUPnew · submitted 2026-06-29 · 💻 cs.HC · cs.CY

Anthropomorphism in AI Companion Communities: Age, Gender, and Emotional Correlates

Afia Mubashir , Boden Moraski , Stephanie Choi , Rose E. Guingrich This is my paper

Pith reviewed 2026-07-01 00:57 UTC · model grok-4.3

classification 💻 cs.HC cs.CY
keywords anthropomorphismAI companionsage differencesgender differencesemotional expressionReddit datachatbots
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0 comments X

The pith

Adults and women anthropomorphize AI chatbots more than teens and men, with joy-linked emotions strengthening the pattern.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper analyzes public Reddit posts from AI companion communities to examine links between user demographics, emotional expression, and anthropomorphism of chatbots. Adults and women show higher levels of anthropomorphism than teens and men. Positive emotions, especially joy, correlate with more anthropomorphism while neutral language correlates with less, and these emotion links are stronger among adults. The results indicate the tendency to treat AI as human-like appears more widely distributed across ages than some prior views assumed, which would affect how safety guidelines for such systems are set.

Core claim

Using language patterns from three popular AI companion subreddits, the study establishes that adults anthropomorphize AI chatbots more than teens and women more than men. Positive emotional expression, particularly joy, associates positively with anthropomorphization while neutrality associates negatively. Both the demographic differences and the emotion-anthropomorphism associations are stronger in adults than in teens.

What carries the argument

Natural language analysis of Reddit posts to detect indicators of anthropomorphism and emotional categories such as joy and neutrality in discussions of AI companions.

If this is right

  • Demographic factors shape how users perceive and relate to AI companions.
  • Emotional tone in user language tracks with the degree of anthropomorphism.
  • Age moderates the strength of emotion-anthropomorphism connections.
  • Existing digital safety norms for AI companions may require reevaluation across age groups.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • AI companion designers could adjust interaction styles based on inferred user age to manage attachment levels.
  • Platform moderation in AI communities might track emotional language to identify higher-risk anthropomorphism cases.
  • Longitudinal tracking of the same users could test whether the observed patterns persist beyond single posts.

Load-bearing premise

Language patterns in Reddit posts from AI companion subreddits accurately measure users' actual anthropomorphism levels and emotional states and represent broader populations of AI companion users.

What would settle it

A direct survey of AI chatbot users that measures anthropomorphism through validated scales and compares results to language patterns in their own Reddit posts would show no reliable correlation.

read the original abstract

Artificial intelligence (AI) systems are increasingly integrated into daily life, with millions now using AI chatbots built on Large Language Models (LLMs) for companionship. Both humanlike AI qualities and user predispositions to anthropomorphize relate to social consequences, such as increased trust, social health benefits, and psychological harms. Populations such as children, older adults, or those with mental health vulnerabilities may be particularly susceptible to anthropomorphism and its detriments, but mixed findings complicate the role of demographics. We used publicly available Reddit data from three popular AI companion subreddits to assess relationships between gender, age, anthropomorphism, and elicited emotions, to better understand how different people perceive and are affected by AI companions. We investigated three questions: How do age and gender relate to anthropomorphization of AI?, How does emotional expression relate to anthropomorphization?, and How do age and gender moderate emotion-anthropomorphization relationships? We found that adults and women anthropomorphize AI chatbots more than teens and men, and that positive emotional expression, particularly joy, is positively associated with anthropomorphization, while neutrality is negatively associated with anthropomorphism. Both relationships were stronger in adults than teens. Our findings suggest that the tendency to anthropomorphize may be more broadly distributed across age groups than previously expected, thereby prompting the reevaluation of existing digital safety norms.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 2 minor

Summary. The paper analyzes publicly available Reddit posts from three AI companion subreddits to investigate relationships between age, gender, anthropomorphism of AI chatbots, and elicited emotions. It reports that adults and women anthropomorphize AI more than teens and men; positive emotional expression (especially joy) is positively associated with anthropomorphism while neutrality is negatively associated; and these emotion-anthropomorphism relationships are stronger among adults than teens. The authors conclude that anthropomorphism tendencies may be more broadly distributed across age groups than previously assumed, warranting reevaluation of digital safety norms.

Significance. If the linguistic operationalizations of anthropomorphism and emotion, as well as the demographic inferences, are shown to be valid and generalizable, the findings would contribute to HCI and AI ethics literature by providing empirical patterns on user-AI companion interactions and challenging age-based assumptions about susceptibility. The use of public observational data is a strength for ecological validity, but the absence of validation against established measures limits the strength of the contribution.

major comments (2)
  1. [Methods] Methods section: No details are provided on the operationalization of anthropomorphism (e.g., specific linguistic features, dictionaries, or classifiers used), emotion classification method, sample sizes after exclusions, statistical models (including controls for confounders), or how age/gender were inferred from text or metadata. This makes it impossible to evaluate whether the reported directional findings on age/gender differences and moderation effects are supported by the data.
  2. [Results] Results/Discussion: The central claims (adults > teens, women > men; joy positive and neutrality negative associations with anthropomorphism, moderated by age) rest on the untested assumption that language patterns in self-selected subreddit posts validly index internal anthropomorphic tendencies and emotional states rather than subreddit norms, posting conventions, or self-presentation. No validation, sensitivity analyses, or discussion of this measurement validity threat is presented, rendering the associations uninterpretable if the assumption fails.
minor comments (2)
  1. [Abstract] The abstract states directional findings without any quantitative details (effect sizes, p-values, or sample characteristics), which reduces clarity for readers.
  2. [Methods] Clarify the exact number and selection criteria for the three subreddits and any preprocessing steps applied to the posts.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for their detailed and constructive feedback. We address the major comments point-by-point below, indicating where revisions will be made to improve clarity and transparency.

read point-by-point responses

  1. Referee: [Methods] Methods section: No details are provided on the operationalization of anthropomorphism (e.g., specific linguistic features, dictionaries, or classifiers used), emotion classification method, sample sizes after exclusions, statistical models (including controls for confounders), or how age/gender were inferred from text or metadata. This makes it impossible to evaluate whether the reported directional findings on age/gender differences and moderation effects are supported by the data.

    Authors: We acknowledge that the submitted manuscript provided insufficient methodological detail. In the revision we will expand the Methods section to fully specify the linguistic features and dictionaries used to operationalize anthropomorphism, the emotion classification procedure, final sample sizes after exclusions, the complete statistical models (including any controls for confounders such as post length or subreddit), and the exact procedures used to infer age and gender from text or metadata. These additions will allow readers to evaluate the reported associations. revision: yes

  2. Referee: [Results] Results/Discussion: The central claims (adults > teens, women > men; joy positive and neutrality negative associations with anthropomorphism, moderated by age) rest on the untested assumption that language patterns in self-selected subreddit posts validly index internal anthropomorphic tendencies and emotional states rather than subreddit norms, posting conventions, or self-presentation. No validation, sensitivity analyses, or discussion of this measurement validity threat is presented, rendering the associations uninterpretable if the assumption fails.

    Authors: We agree this is an important limitation of observational linguistic data. In the revised manuscript we will add an explicit discussion of measurement validity threats, alternative explanations (e.g., subreddit norms or self-presentation), and report any feasible sensitivity analyses such as robustness checks across subreddits. Because the study uses anonymous public posts, direct validation against established psychological scales is not possible; we will therefore frame the findings more cautiously as patterns in language use rather than direct measures of internal states. revision: partial

Circularity Check

0 steps flagged

No circularity: empirical observational analysis with independent data-derived associations

full rationale

The paper reports correlations between inferred demographics, linguistic markers of anthropomorphism, and emotional expression from public Reddit posts. No equations, parameter fitting presented as prediction, self-definitional constructs, or load-bearing self-citations appear in the derivation chain. The central claims rest on statistical associations computed from the dataset rather than any reduction to inputs by construction. This is a standard empirical study whose validity concerns (measurement, generalizability) lie outside circularity analysis.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

This is an observational text-analysis study; central claim rests on untested assumptions about data validity rather than new parameters or entities.

axioms (1)
  • domain assumption Reddit post language reliably indicates users' anthropomorphism and emotional states
    The study infers psychological constructs directly from public forum text without additional validation steps mentioned.

pith-pipeline@v0.9.1-grok · 5786 in / 1131 out tokens · 38525 ms · 2026-07-01T00:57:39.537730+00:00 · methodology

discussion (0)

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Reference graph

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