# Alexander Boltz

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/alexander-boltz/

## Facts

| Field | Value |
| --- | --- |
| Citations | 289 |
| Field | Misinformation and Its Impacts |
| h-index | 5 |
| i10-index | 5 |
| Last Known Institution | University of Washington |
| OpenAlex ID | https://openalex.org/A5068465397 |
| ORCID iD | 0000-0003-2666-1838 |
| Works | 8 |

## Researcher papers

- [Algorithmic Management Reimagined For Workers and By Workers: Centering Worker Well-Being in Gig Work](https://scholariq.org/papers/algorithmic-management-reimagined-for-workers-and-by-workers-centering-worker/)
- [Stakeholder-Centered AI Design: Co-Designing Worker Tools with Gig Workers through Data Probes](https://scholariq.org/papers/stakeholder-centered-ai-design-co-designing-worker-tools-with-gig-workers/)
- [Understanding Effects of Algorithmic vs. Community Label on Perceived Accuracy of Hyper-partisan Misinformation](https://scholariq.org/papers/understanding-effects-of-algorithmic-vs-community-label-on-perceived-accuracy-of-2/)
- [Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AI](https://scholariq.org/papers/human-centered-nlp-fact-checking-co-designing-with-fact-checkers-using-2/)
- [Data Probes as Boundary Objects for Technology Policy Design: Demystifying Technology for Policymakers and Aligning Stakeholder Objectives in Rideshare Gig Work](https://scholariq.org/papers/data-probes-as-boundary-objects-for-technology-policy-design-demystifying/)
- [Understanding Effects of Algorithmic vs. Community Label on Perceived Accuracy of Hyper-partisan Misinformation](https://scholariq.org/papers/understanding-effects-of-algorithmic-vs-community-label-on-perceived-accuracy-of/)
- [Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AI](https://scholariq.org/papers/human-centered-nlp-fact-checking-co-designing-with-fact-checkers-using/)
- [Beyond Accuracy: Experts See AI Fact-Checks as Accurate but Less Useful](https://scholariq.org/papers/beyond-accuracy-experts-see-ai-fact-checks-as-accurate-but-less-useful/)

## Researcher topics

- [Misinformation and Its Impacts](https://scholariq.org/topics/misinformation-and-its-impacts/)
- [Ethics and Social Impacts of AI](https://scholariq.org/topics/ethics-and-social-impacts-of-ai/)
- [Digital Economy and Work Transformation](https://scholariq.org/topics/digital-economy-and-work-transformation/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [Social Media and Politics](https://scholariq.org/topics/social-media-and-politics/)

## Researcher university

- [University of Washington](https://scholariq.org/institutions/university-of-washington/)

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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.