K Zheng
Biographic Data
| ID | 28942 |
|---|---|
| NAME | K Zheng |
| GIVEN NAMES | K |
| FAMILY NAME | Zheng |
| SIGNATURE | ZHENG K |
| AFFILIATIONS | University of Michigan |
| ORCID | 0009-0001-7870-3916 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
TubeStats and TokStats
YouTube and TikTok are two of the most popular digital communications platforms in the world, playing a disproportionately large role in global communications infrastructure in general and the consumption and dissemination of information in particular. As neither platform provides adequate mechanisms to produce representative samples of the content they host, researchers largely depend on opportunistic samples of popular, recommended, or otherwis…
One Platform, Four Languages
This study presents a comparative analysis of language-specific random samples of YouTube videos, focusing on English, Spanish, Hindi, and Russian. We produce a large random sample, retrieve metadata, calibrate and deploy language-detection software, and extract four high-confidence language samples. Through an analysis of upload dates, popularity, duration, and category metadata, we highlight patterns and anomalies among our samples. For example…
One Platform, Four Languages
This study presents a comparative analysis of language-specific random samples of YouTube videos, focusing on English, Spanish, Hindi, and Russian. We produce a large random sample, retrieve metadata, calibrate and deploy language-detection software, and extract four high-confidence language samples. Through an analysis of upload dates, popularity, duration, and category metadata, we highlight patterns and anomalies among our samples. For example…
One Platform, Four Languages
This study presents a comparative analysis of language-specific random samples of YouTube videos, focusing on English, Spanish, Hindi, and Russian. We produce a large random sample, retrieve metadata, calibrate and deploy language-detection software, and extract four high-confidence language samples. Through an analysis of upload dates, popularity, duration, and category metadata, we highlight patterns and anomalies among our samples. For example…
TubeStats and TokStats
YouTube and TikTok are two of the most popular digital communications platforms in the world, playing a disproportionately large role in global communications infrastructure in general and the consumption and dissemination of information in particular. As neither platform provides adequate mechanisms to produce representative samples of the content they host, researchers largely depend on opportunistic samples of popular, recommended, or otherwis…
Affordance (1 work) · Architecture (1 work) · Digital Marketing and Social Media (1 work) · Impact of Technology on Adolescents (1 work) · Misinformation and Its Impacts (1 work)