# Can Algorithms Efficiently Identify Interpretable and Persuasive Message Features? An Agnostic Causal Machine Learning Approach

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/can-algorithms-efficiently-identify-interpretable-and-persuasive-message/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sijia Yang,Luhang Sun,Ran Tao,Yoo Ji Suh,Zening Duan,Yibing Sun,Y Wang,Jiaying Liu |
| Citations | 1 |
| DOI | 10.1080/10410236.2026.2661405 |
| Fields | Arts and Humanities,Psychology,Social Sciences |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W7155029128 |
| PMID | 42010816 |
| Type | article |
| Year | 2026 |

## Paper authors

- [Yoo Ji Suh](https://scholariq.org/researchers/yoo-ji-suh/)

## Paper journal

- [Health Communication](https://scholariq.org/journals/health-communication/)

## Paper primary topic

- [Behavioral Health and Interventions](https://scholariq.org/topics/behavioral-health-and-interventions/)

## Paper topics

- [Behavioral Health and Interventions](https://scholariq.org/topics/behavioral-health-and-interventions/)
- [Media Influence and Health](https://scholariq.org/topics/media-influence-and-health/)
- [Misinformation and Its Impacts](https://scholariq.org/topics/misinformation-and-its-impacts/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.