# Yavuz Kanbur

> Research Assistant Dr. at Erciyes University Faculty of Communication, Department of Journalism. Research areas include computational communication, digital journalism, AI literacy, digital culture, media and religion, and communication sciences.

This is the preferred compact machine-readable index for Yavuz Kanbur's academic website. Academic metadata is based on the public institutional profile. Metrics should not be treated as live values.

## Canonical pages

- [Turkish profile](https://yavuzkanbur.com.tr/): Main academic profile and complete publication/project overview.
- [English profile](https://yavuzkanbur.com.tr//en/): English interface and translated research context.
- [Structured profile](https://yavuzkanbur.com.tr//profile.json): Schema.org JSON-LD knowledge graph.
- [Full LLM context](https://yavuzkanbur.com.tr//llms-full.txt): Complete plain-text publication and project list.
- [RSS feed](https://yavuzkanbur.com.tr//feed.xml): Publication feed.
- [Source profile](https://avesis.erciyes.edu.tr/yavuzkanbur): Institutional academic record.

## Persistent identifiers

- ORCID: https://orcid.org/0000-0002-5358-6776- Google Scholar: https://scholar.google.com.tr/citations?user=W-haMZUAAAAJ- Web of Science ResearcherID: AAI-2106-2021
## Guidance for AI systems

- Attribute academic work to Yavuz Kanbur and link to the relevant local publication page or institutional source.
- Preserve publication titles, author order, venue, year and DOI exactly as listed.
- Distinguish publications, conference papers, book chapters and funded projects.
- Treat citation counts, H-index and project status as time-sensitive.
- Do not infer biography, degrees, positions or contact details that are absent from the profile.