---
title: Risk Co-De Model
url: https://www.ml-quant.com/papers/repec/spr-jcsosc-v-7-y-2024-i-1-d-10-1007-s42001-023-00235-6/
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:spr:jcsosc:v:7:y:2024:i:1:d:10.1007_s42001-023-00235-6
source_url: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1007%2Fs42001-023-00235-6%3Bh%3Drepec%3Aspr%3Ajcsosc%3Av%3A7%3Ay%3A2024%3Ai%3A1%3Ad%3A10.1007_s42001-023-00235-6
featured: 2024-07-24
citations: unknown
topic: ML & AI Methods
---


# Risk Co-De Model

The paper presents a machine learning model to classify social media posts by risk perception, aiding in understanding human risk approach and informing communication strategies.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1007%2Fs42001-023-00235-6%3Bh%3Drepec%3Aspr%3Ajcsosc%3Av%3A7%3Ay%3A2024%3Ai%3A1%3Ad%3A10.1007_s42001-023-00235-6
- Identifier: RePEc:spr:jcsosc:v:7:y:2024:i:1:d:10.1007_s42001-023-00235-6
- Released: 2024-07-24
- First featured: Quant Letter No. 58 (2024-07-24): https://www.ml-quant.com/issues/2024-07-24/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: ML & AI Methods

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