---
title: Lessons from Social Media for Climate Policy
url: https://www.ml-quant.com/papers/repec/cup-nierev-v-266-y-2023-i-p-22-29-3/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: RePEc:cup:nierev:v:266:y:2023:i::p:22-29_3
source_url: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.cambridge.org%2Fcore%2Fproduct%2Fidentifier%2FS0027950124000073%2Ftype%2Fjournal_article%3Bh%3Drepec%3Acup%3Anierev%3Av%3A266%3Ay%3A2023%3Ai%3A%3Ap%3A22-29_3
featured: 2025-02-19
citations: unknown
topic: ML & AI Methods
---


# Lessons from Social Media for Climate Policy

The study uses machine learning to analyze social media discussions on climate change and suggests diverse policies for net-zero goals.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.cambridge.org%2Fcore%2Fproduct%2Fidentifier%2FS0027950124000073%2Ftype%2Fjournal_article%3Bh%3Drepec%3Acup%3Anierev%3Av%3A266%3Ay%3A2023%3Ai%3A%3Ap%3A22-29_3
- Identifier: RePEc:cup:nierev:v:266:y:2023:i::p:22-29_3
- Released: 2023-05-19
- First featured: Quant Letter No. 85 (2025-02-19): https://www.ml-quant.com/issues/2025-02-19/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: ML & AI Methods

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