Do Emotions in Prompts Matter? Effects of Emotional Framing on Large Language Models

Do Emotions in Prompts Matter? Effects of Emotional Framing on Large Language Models | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/do-emotions-in-prompts-matter-effects-of-emotional-framing-on-large-language-models

stale

Proof freshness: stale
Proof status: unverified
Display score: 5/10
Last proof check: 2026-04-03
Score updated: 2026-04-03
Score fresh until: 2026-05-03
References: 0
Source count: 0
Coverage: 33%

This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.

Agent Handoff

Canonical ID do-emotions-in-prompts-matter-effects-of-emotional-framing-on-large-language-models | Route /signal-canvas/do-emotions-in-prompts-matter-effects-of-emotional-framing-on-large-language-models

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/do-emotions-in-prompts-matter-effects-of-emotional-framing-on-large-language-models

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "do-emotions-in-prompts-matter-effects-of-emotional-framing-on-large-language-models",
    "query_text": "Summarize Do Emotions in Prompts Matter? Effects of Emotional Framing on Large Language Models"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "Do Emotions in Prompts Matter? Effects of Emotional Framing on Large Language Models",
  "normalized_query": "2604.02236",
  "route": "/signal-canvas/do-emotions-in-prompts-matter-effects-of-emotional-framing-on-large-language-models",
  "paper_ref": "do-emotions-in-prompts-matter-effects-of-emotional-framing-on-large-language-models",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Route status: building

Claims: 8

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: Do Emotions in Prompts Matter? Effects of Emotional Framing on Large Language Models

PDF: https://arxiv.org/pdf/2604.02236v1

Source count: Pending verification

Coverage: 33%

Last proof check: 2026-04-03T20:50:40.241Z

Signal Canvas receipt window

Watch and verify: Do Emotions in Prompts Matter? Effects of Emotional Framing on Large Language Models

/buildability/do-emotions-in-prompts-matter-effects-of-emotional-framing-on-large-language-models

Watchwatch

Subject: Do Emotions in Prompts Matter? Effects of Emotional Framing on Large Language Models

Verdict

Watch

Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.

Preparing verified analysis

GitHub Code Pulse

No public code linked for this paper yet.

Claim map

Strong 8Mixed 0Weak 0

Evidencepartial
static emotional prefixes usually produce only small changes in accuracy
Implicationpartial
Directly stated in abstract with clear conclusion about effects
Verificationpartial
partial
Evidencepartial
effects are more variable in socially grounded tasks, where emotional context more plausibly interacts with interpersonal reasoning
Implicationpartial
Directly stated in abstract with explanation about task differences
Verificationpartial
partial
Evidencepartial
stronger emotional wording induces only modest extra change
Implicationpartial
Directly stated in abstract as finding from additional analyses
Verificationpartial
partial
Evidencepartial
human-written prefixes reproduce the same qualitative pattern as LLM-generated ones
Implicationpartial
Directly stated in abstract as finding from comparative analysis
Verificationpartial
partial
Evidencepartial
no single emotion is consistently beneficial
Implicationpartial
Directly stated in abstract as conclusion about emotional prompting
Verificationpartial
partial
Evidencepartial
adaptive selection yields more reliable gains than fixed emotional prompting
Implicationpartial
Directly stated in abstract as key finding about the proposed method
Verificationpartial
partial
Evidencepartial
emotional tone is neither a dominant driver of LLM performance nor irrelevant noise, but a weak and input-dependent signal
Implicationpartial
Directly stated in abstract as overall conclusion of the research
Verificationpartial
partial
Evidencepartial
We then introduce EmotionRL, an adaptive emotional prompting framework that selects emotional framing adaptively for each query
Implicationpartial
Directly stated in abstract as method introduction
Verificationpartial
partial

Author intelligence and commercialization panels stay hidden until the proof receipt is verified, cites at least 3 references, includes at least 2 sources, and clears 50% coverage. The paper narrative and citation surfaces remain public while verification is pending.

Do Emotions in Prompts Matter? Effects of Emotional Framing on Large Language Models

Use Signal Canvas as the narrative proof surface

Use this Signal Canvas via API or MCP

Signal Canvas proof surface