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the claim

Animal facial expressions convey similar emotional meanings to those perceived by humans

the verdict
SUPPORTED
the evidence backs this
Recorded sources
5 sources for · 0 against

Counts group repeated records of the same source within each side. They do not measure evidence strength or source independence.

Is it true that animal facial expressions convey similar emotional meanings to those perceived by humans?

Yes. Multiple empirical studies demonstrate that non-human animals exhibit distinct facial expressions corresponding to internal emotional states, and that these expressions are successfully recognized and interpreted by both automated systems and humans.

Verdict: SUPPORTED · 5 sources for, 0 against · Last checked

The analysis

The claim posits that animal facial expressions convey emotional meanings similar to those perceived by humans. Papers [0], [2], [4], and [6] directly establish that animals (dogs, horses, and mice) possess measurable facial expressions corresponding to distinct emotional states such as anticipation, frustration, and pain. Furthermore, paper [11] explicitly demonstrates that humans correctly identify these expressions as positive or negative and even mimic them, directly supporting the assertion that animal expressions convey recognizable emotional meanings to humans. There are no papers refuting this position.

Evidence for · 5
2022
Demonstrates that canine facial expressions correlate with positive and negative emotional states such as anticipation and frustration.
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Boneh-Shitrit, T., Feighelstein, M., Bremhorst, A., Amir, S., Distelfeld, T., Dassa, Y., Yaroshetsky, S., Riemer, S., Shimshoni, I., Mills, D., & Zamansky, A. (2022). Explainable automated recognition of emotional states from canine facial expressions: the case of positive anticipation and frustration. doi.org. https://doi.org/10.1038/s41598-022-27079-w

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More for · 4
2024
Shows that automated models can reliably recognize discrete emotional states like anticipation and frustration from horse facial expressions.
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Feighelstein, M., Riccie-Bonot, C., Hasan, H., Weinberg, H., Rettig, T., Segal, M., Distelfeld, T., Shimshoni, I., Mills, D., & Zamansky, A. (2024). Automated recognition of emotional states of horses from facial expressions. doi.org. https://doi.org/10.1371/journal.pone.0302893

2022
Establishes that facial expressions in dogs are closely linked with internal emotional states like positive anticipation and negative frustration.
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Boneh-Shitrit, T., Amir, S., Bremhorst, A., Mills, D., Riemer, S., Fried, D., & Zamansky, A. (2022). Deep Learning Models for Automated Classification of Dog Emotional States from Facial Expressions. doi.org. https://doi.org/10.48550/arXiv.2206.05619

2023
Provides evidence that facial expressions serve as reliable indicators of internal emotional states across non-human species such as mice.
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Tanaka, Y., Nakata, T., Hibino, H., Nishiyama, M., & Ino, D. (2023). Classification of multiple emotional states from facial expressions in head-fixed mice using a deep learning-based image analysis. doi.org. https://doi.org/10.1371/journal.pone.0288930

2026
Demonstrates that humans accurately identify and emotionally resonate with positive and negative facial expressions of non-human primates.
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U, H., T, K., MG, E., H, M., M, D., K, L., & E, P. (2026). Evolutionary echoes of emotion: Humans mimic other primate expressions.. doi.org. https://doi.org/10.1371/journal.pone.0342196

Receipt History
first checked04 Aug 2026
judged → SUPPORTED · 8604 Aug 2026
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