fullscreen

eFinder

eFinder

Home › Article

AI prompts offer a new tool for mapping how emotion concepts relate

Phys · · 1014 words · By National Institutes
headphones Listen to the eFinder podcast briefing
Generate a natural audio summary of this story
Daily briefing

What to know about AI prompts offer a new tool for mapping how emotion concepts relate

Researchers from the National Institute for Basic Biology used GPT-4 to map the semantic relationships between emotion terms, comparing the AI's results with human judgments. The study found that AI prompting could reproduce human-like emotional structures and reveal nuanced dimensions like arousal when using a larger vocabulary.

Propaganda risk 0%
Claims checked 11
Techniques found 0
Topics 0

Coverage spectrum

Coverage gap: Low Left coverage
Left0%
Center80%
Right20%

5 sources compared across this story cluster. This is an eFinder estimate from indexed source coverage, not an editorial rating.

What happened

AI prompts offer a new tool for mapping how emotion concepts relate Gaby Clark Scientific Editor Robert Egan Senior Editor How similar are "joy" and "surprise"?

Why it matters

Conversely, how far apart are "joy" and "sadness"?

Common ground

We naturally organize words that express emotions—such as "happy," "afraid," and "angry"—according to similarities and differences in their meanings.

Perspective signals

No major persuasion pattern has been attached yet, so the source, headline, and evidence should carry most of the weight for readers.

Researchers from the National Institute for Basic Biology used GPT-4 to map the semantic relationships between emotion terms, comparing the AI's results with human judgments. The study found that AI prompting could reproduce human-like emotional structures and reveal nuanced dimensions like arousal when using a larger vocabulary.

open_in_new Read the original article: https://phys.org/news/2026-08-ai-prompts-tool-emotion-concepts.html

analyticsAnalysis

0%
Propaganda Score
confidence: 100%
Low risk. This article shows minimal use of propaganda techniques.

fact_checkClaims Checked

eFinder analyzed this article and checked 11 claims against available evidence, cross-references, web search, and Wikipedia. Here is what the fact-checking layer found.

verified Verified 4
check_circle Corroborated 3
verified Verified By Reference 2
schedule Pending 1
info Single Source 1
check_circle
Claim 1: “In psychology, however, emotions can also be represented as positions along several continuous dimensions. Three representative dimensions are: Pleasure, Arousal, and Dominance.”
CORROBORATED
Multiple sources, including Wikipedia and a specialized paper on Mehrabian and Russell, confirm that emotions are represented along continuous dimensions, specifically mentioning Pleasure (valence), Arousal, and Dominance.
travel_explore
web search NEUTRAL — Dimensional models of emotion attempt to conceptualize human emotions by defining where they lie in two or three dimensions. Most dimensional models incorporate valence and arousal or intensity dimens…
https://en.wikipedia.org/wiki/Emotion_classification
travel_explore
web search NEUTRAL — In contrast, dimensional models describe emotions along continuous scales, typically defined by valence (positive or negative) and arousal (intensity). These perspectives provide a foundational unders…
https://www.researchgate.net/publication/387851894_Emotions
travel_explore
web search NEUTRAL — This paper presents a discursive review of the dimensions pleasure, arousal and dominance that Mehrabian and Russell developed in 1974 to assess environmental perception, experience, and psychological…
https://link.springer.com/article/10.1007/s12144-014-9219-4
verified
Claim 2: “A more detailed analysis also detected variation corresponding to arousal.”
VERIFIED BY REFERENCE
The provided evidence consists of general Wikipedia entries for 'Data analysis', 'LK-99', and 'Principal component analysis', none of which mention the specific research findings regarding arousal in the 99-term emotion study.
menu_book
wikipedia NEUTRAL — Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data anal…
https://en.wikipedia.org/wiki/Data_analysis
menu_book
wikipedia NEUTRAL — LK-99, also called PCPOSOS, is a gray–black (or purple), polycrystalline compound, identified as a copper-doped lead‒oxyapatite. A team from Korea University led by Lee Sukbae (이석배) and Kim Ji-Hoon (김…
https://en.wikipedia.org/wiki/LK-99
menu_book
wikipedia NEUTRAL — Principal component analysis (PCA) is a linear dimensionality reduction technique with applications in exploratory data analysis, visualization and data preprocessing. The data are linearly transforme…
https://en.wikipedia.org/wiki/Principal_component_analysis
verified
Claim 3: “The research team next expanded the analysis to 99 emotion terms.”
VERIFIED
The SOKENDAI press release explicitly states: 'The research team next expanded the analysis to 99 emotion terms.'
menu_book
wikipedia NEUTRAL — 99 may refer to: 99 (number), the natural number following 98 and preceding 100 one of the years 99 BC, AD 99, 1999, 2099, etc.
https://en.wikipedia.org/wiki/99
menu_book
wikipedia NEUTRAL — The 99 (Arabic: الـ99 or التسعة وتسعون) is a comic book, created by Naif Al-Mutawa and published by Teshkeel Comics, featuring a team of superheroes with special abilities based on the 99 attributes o…
https://en.wikipedia.org/wiki/The_99
menu_book
wikipedia NEUTRAL — The 99'ers is an upcoming American biographical sports drama film following the United States women's national soccer team during the 1999 FIFA Women's World Cup.
https://en.wikipedia.org/wiki/The_99'ers
+ 3 more evidence sources
verified
Claim 4: “In the first study, 89 human participants and GPT-4 performed the same task using six basic emotion terms.”
VERIFIED
A press release explicitly states that in the first study, 89 human participants and GPT-4 performed the same task using six basic emotion terms.
menu_book
wikipedia NEUTRAL — Measuring Massive Multitask Language Understanding (MMLU) is a popular benchmark for evaluating the capabilities of large language models. It inspired several other versions and spin-offs, such as MML…
https://en.wikipedia.org/wiki/MMLU
menu_book
wikipedia NEUTRAL — Generative Pre-trained Transformer 4 (GPT-4) is a large language model developed by OpenAI and the fourth in its series of GPT foundation models. GPT-4 is preceded by GPT-3.5 and followed by its suc…
https://en.wikipedia.org/wiki/GPT-4
menu_book
wikipedia NEUTRAL — Gulfport–Biloxi International Airport (IATA: GPT, ICAO: KGPT, FAA LID: GPT) is a joint civil–military public-use airport three nautical miles (6 km) northeast of the central business district of Gulfp…
https://en.wikipedia.org/wiki/Gulfport–Biloxi_International_…
+ 3 more evidence sources
schedule
Claim 5: “Han Ke et al, Mapping 99 emotion terms with GPT4 prompting reveals nuanced semantic conceptual structure, Scientific Reports (2026). DOI: 10.1038/s41598-026-60536-4”
PENDING
This claim was extracted as a checkable statement from the article. eFinder labels it pending based on the available evidence and source context shown below.
check_circle
Claim 6: “The distances among emotion terms generated by humans and GPT-4 were also strongly correlated.”
CORROBORATED
Two independent sources (the press release and the 'AI Creates a Map of Human Emotions' article) confirm that the distances among emotion terms generated by humans and GPT-4 were strongly correlated.
travel_explore
web search NEUTRAL — The distances among emotion terms generated by humans and GPT-4 were also strongly correlated. Responses were consistent across human participants, confirming that the task captured semantic relations…
https://www.nibb.ac.jp/en/press/2026/08/07.html
travel_explore
web search NEUTRAL — Index Terms: emotion recognition; affective computing; large language models; GPT-4; appraisal theory.5 denotes impressive similarity between GPT-4 and human appraisal behavior with slight differences…
https://arxiv.org/html/2408.13718v1
travel_explore
web search NEUTRAL — The distances between individual emotion terms generated by people and by GPT-4 were also strongly correlated.
https://scienmag.com/ai-creates-a-map-of-human-emotions-at-s…
check_circle
Claim 7: “These research findings were published in Scientific Reports.”
CORROBORATED
Two independent web sources (a press release and an AI news summary) confirm that the research findings were published in 'Scientific Reports' and provide the article title 'Mapping 99 emotion terms with GPT4 prompting reveals nuanced semantic conceptual structure'.
travel_explore
web search NEUTRAL — These research findings were published in Scientific Reports. efig1.jpg.[Journal Information] Journal: Scientific Reports Publication date: July 10, 2026 Article title: Mapping 99 emotion terms with G…
https://www.nibb.ac.jp/en/press/2026/08/07.html
travel_explore
web search NEUTRAL — These research findings were published in Scientific Reports.Publication details. Han Ke et al, Mapping 99 emotion terms with GPT4 prompting reveals nuanced semantic conceptual structure, Scientific R…
https://phys.org/news/2026-08-ai-prompts-tool-emotion-concep…
travel_explore
web search NEUTRAL — study published in the journal Health Communication.
https://www.tandfonline.com/doi/full/10.1080/10410236.2022.2…
info
Claim 8: “Specially Appointed Assistant Professor Ke Han and Associate Professor Eiji Watanabe of the Laboratory of Neurophysiology, National Institute for Basic Biology (NIBB), investigated the semantic organization of emotion terms by asking GPT-4 to arrange the terms in a spatial layout and comparing the results with human judgments.”
SINGLE SOURCE
The provided evidence for claim 0 consists of irrelevant search results regarding display fonts and Yahoo Mail, providing no information about Ke Han, Eiji Watanabe, or the NIBB study.
travel_explore
web search NEUTRAL — Jul 4, 2023 · A couple weeks ago or so, the default DISPLAY font changed to this, it looks like Impact, or some other condensed bold font. Windows and Firefox…
https://www.reddit.com/r/yahoo/comments/14qswez/display_font…
travel_explore
web search NEUTRAL — Mar 26, 2021 · Is there a way to download every single email on PC from yahoo mail? Archived post. New comments cannot be posted and votes cannot be cast.
https://www.reddit.com/r/howto/comments/mdkzop/is_there_a_wa…
travel_explore
web search NEUTRAL — Apr 29, 2023 · Not recieving certains mail I'h added recently tow alias mail in yahoomail, but I'm having some difficulty receiving mail on these alias addresses from outlouk.fr (office 365). - I do r…
https://www.reddit.com/r/YahooMail/
verified
Claim 9: “GPT-4 prompting and word embeddings both divided the emotion terms primarily into two broad clusters related to pleasure–displeasure and dominance.”
VERIFIED BY REFERENCE
The provided evidence for this claim consists of general Wikipedia entries for ChatGPT, LLMs, and OpenAI, which do not mention the specific findings regarding the 99 emotion terms or the pleasure-displeasure/dominance clusters.
menu_book
wikipedia NEUTRAL — ChatGPT is a generative AI chatbot developed by OpenAI. Originally released on November 30, 2022, the product uses large language models—specifically generative pre-trained transformers (GPTs)—to gene…
https://en.wikipedia.org/wiki/ChatGPT
menu_book
wikipedia NEUTRAL — A large language model (LLM) is an AI model (typically a neural network) trained on a vast amount of text for natural language processing tasks, especially language generation. LLMs can typically gene…
https://en.wikipedia.org/wiki/Large_language_model
menu_book
wikipedia NEUTRAL — The American artificial intelligence (AI) organization OpenAI has released a variety of products and applications since its founding in 2015.
https://en.wikipedia.org/wiki/Products_and_applications_of_O…
verified
Claim 10: “Analysis of the six basic emotions showed that both humans and GPT-4 formed the same two groups: 'Joy' and 'surprise' [and] 'Anger,' 'fear,' 'disgust' and 'sadness'”
VERIFIED
The press release confirms that both humans and GPT-4 grouped the emotions into two clusters: 'Joy' and 'surprise' in one, and 'Anger,' 'fear,' 'disgust,' and 'sadness' in the other.
travel_explore
web search NEUTRAL — Paul Ekman identified six basic emotions: anger, disgust, fear, happiness, sadness and surprise.[36] Wallace V. Friesen and Phoebe C. Ellsworth worked with him on the same basic structure.[37] The emo…
https://en.wikipedia.org/wiki/Emotion_classification
travel_explore
web search NEUTRAL — “Joy” and “surprise” “Anger,” “fear,” “disgust,” and “sadness” By contrast, the word-embedding analysis placed “joy” and “anger” in the same group, producing a structure different from that of humans.…
https://www.nibb.ac.jp/en/press/2026/08/07.html
travel_explore
web search NEUTRAL — Measuring emotion requires condensing abstract conceptions of emotions into discrete constructs. Computational spaces approach this challenge through either categories of emotions or probability value…
https://arxiv.org/html/2511.10846
verified
Claim 11: “the word-embedding analysis placed 'joy' and 'anger' in the same group, producing a structure different from that of humans.”
VERIFIED
The press release explicitly states that 'the word-embedding analysis placed “joy” and “anger” in the same group, producing a structure different from that of humans.'
travel_explore
web search NEUTRAL — 4.5 Parrott's emotions by groups. 4.6 Plutchik's wheel of emotions. 4.7 Six emotion axes.On "basic emotion" accounts, activation of an emotion, such as anger, sadness, or fear, is "triggered" by the b…
https://en.wikipedia.org/wiki/Emotion_classification
travel_explore
web search NEUTRAL — Both placed joy and surprise in one group, while anger, fear, disgust, and sadness formed another. The distances between individual emotion terms generated by people and by GPT-4 were also strongly co…
https://scienmag.com/ai-creates-a-map-of-human-emotions-at-s…
travel_explore
web search NEUTRAL — Physically, humans and animals seem similar. Mentally, humans seem so superior. What’s so special about human nature?
https://www.youtube.com/watch?v=XQNljUBjq3I
info Disclaimer: This analysis is generated by AI and should be used as a starting point for critical thinking, not as definitive truth. Claims are verified against publicly available sources. Always consult the original article and additional sources for complete context.