# Yoo Ji Suh

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/yoo-ji-suh/

## Facts

| Field | Value |
| --- | --- |
| Citations | 190 |
| Field | Misinformation and Its Impacts |
| h-index | 5 |
| i10-index | 4 |
| Last Known Institution | University of Wisconsin–Madison |
| OpenAlex ID | https://openalex.org/A5089178335 |
| Works | 11 |

## Researcher papers

- [Smiling women pitching down: auditing representational and presentational gender biases in image-generative AI](https://scholariq.org/papers/smiling-women-pitching-down-auditing-representational-and-presentational-gender-2/)
- [Fact-Checking and Audience Engagement: A Study of Content Analysis and Audience Behavioral Data of Fact-Checking Coverage from News Media](https://scholariq.org/papers/fact-checking-and-audience-engagement-a-study-of-content-analysis-and-audience/)
- [Something's Fishy About It: How Opinion Congeniality and Explainability Affect Motivated Attribution to Artificial Intelligence Versus Human Comment Moderators](https://scholariq.org/papers/something-s-fishy-about-it-how-opinion-congeniality-and-explainability-affect/)
- [Smiling Women Pitching Down: Auditing Representational and Presentational Gender Biases in Image Generative AI](https://scholariq.org/papers/smiling-women-pitching-down-auditing-representational-and-presentational-gender/)
- [How Moral Reframing Enhances Political Persuasion: The Role of Processing Fluency and Self-Affirmation](https://scholariq.org/papers/how-moral-reframing-enhances-political-persuasion-the-role-of-processing-fluency/)
- [Constructing Vec-tionaries to Extract Message Features from Texts: A Case Study of Moral Content](https://scholariq.org/papers/constructing-vec-tionaries-to-extract-message-features-from-texts-a-case-study-2/)
- [How Partisan Media Influences Aversion to Political Compromise](https://scholariq.org/papers/how-partisan-media-influences-aversion-to-political-compromise/)
- [Can Algorithms Efficiently Identify Interpretable and Persuasive Message Features? An Agnostic Causal Machine Learning Approach](https://scholariq.org/papers/can-algorithms-efficiently-identify-interpretable-and-persuasive-message/)
- [오정보(misinformation), 왜 믿는가? 어떻게 정정할 것인가?: 오정보와 그 정정에 대한 이론적 검토](https://scholariq.org/papers/misinformation/)
- [Constructing Vec-tionaries to Extract Message Features from Texts: A Case Study of Moral Appeals](https://scholariq.org/papers/constructing-vec-tionaries-to-extract-message-features-from-texts-a-case-study/)

## Researcher topics

- [Misinformation and Its Impacts](https://scholariq.org/topics/misinformation-and-its-impacts/)
- [Hate Speech and Cyberbullying Detection](https://scholariq.org/topics/hate-speech-and-cyberbullying-detection/)
- [Social Media and Politics](https://scholariq.org/topics/social-media-and-politics/)
- [Sentiment Analysis and Opinion Mining](https://scholariq.org/topics/sentiment-analysis-and-opinion-mining/)
- [Media Influence and Health](https://scholariq.org/topics/media-influence-and-health/)

## Researcher university

- [University of Wisconsin–Madison](https://scholariq.org/institutions/university-of-wisconsin-madison/)

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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.