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the claim

Public mood and excitability can be estimated through social media sentiment analysis

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 public mood and excitability can be estimated through social media sentiment analysis?

Yes. Multiple studies demonstrate that social media sentiment analysis successfully extracts opinions and tracks public mood and emotional fluctuations.

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

The analysis

The retrieved literature consistently supports the claim that public mood and sentiment can be estimated from social media and online communication data, using various natural language processing and machine learning frameworks.

Evidence for · 5
Sentiment analysis: A survey on design framework, applications and future scopes.
2023
Get citation
M, B. & SK, B. (2023). Sentiment analysis: A survey on design framework, applications and future scopes.. doi.org. https://doi.org/10.1007/s10462-023-10442-2

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More for · 4
Capturing mood dynamics through adolescent smartphone social communication.
2023
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LY, L., E, T., F, H., GO, A., E, Z., SN, B., D, P., K, D., NB, A., RP, A., & SA, S. (2023). Capturing mood dynamics through adolescent smartphone social communication.. doi.org. https://doi.org/10.1037/abn0000855

Sentiment Analysis on Social Media
2023
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Yadav, J. (2023). Sentiment Analysis on Social Media. doi.org. https://doi.org/10.32388/yf9x04

Evolving techniques in sentiment analysis: a comprehensive review.
2025
Get citation
M, K., L, K., & HT, C. (2025). Evolving techniques in sentiment analysis: a comprehensive review.. doi.org. https://doi.org/10.7717/peerj-cs.2592

Quantifying and mapping uncertainty in urban sentiment prediction: a combined approach with entropy and SHAP explanations.
2026
Get citation
I, B., AI, R., CM, V., & J, R. (2026). Quantifying and mapping uncertainty in urban sentiment prediction: a combined approach with entropy and SHAP explanations.. doi.org. https://doi.org/10.3389/fpubh.2026.1796565

What does the evidence say?

The retrieved literature consistently supports the claim that public mood and sentiment can be estimated from social media and online communication data, using various natural language processing and machine learning frameworks.

Receipt History
first checked04 Aug 2026
judged → SUPPORTED · 8304 Aug 2026
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