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Digital ethnography on algorithmic short-video platforms: a systematic review of fieldwork, participation, identity, and methodological challenges

Identification

Clé publique

radar:r-33060548c4b4de2814a8279cdc98d92a

Auteurs

Carlos Alberto Gómez Cano · Verenice Sánchez Castillo

Année déclarée

2026

Langue déclarée

en

Type source

review

Première détection

2026-11-14T01:58:41.306426+00:00

Dernière observation des métadonnées

2026-11-14T01:58:41.306426+00:00

Dernière vérification HTTP

Non effectuée

Institutions déclarées par la source

Corporación Unificada Nacional de Educación Superior · Corporación Universitaria de Asturias · Universidad de la Amazonia

Pays d’affiliation déclarés

CO

Résumé documentaire — langue originale

Background. TikTok, Douyin, and comparable short-video platforms have become important sites of cultural production and community interaction, but personalised recommendation systems complicate conventional assumptions about stable and bounded ethnographic fields. Objective. To examine how digital ethnographic studies construct field sites, sample communities and trends, interpret algorithmic curation, analyse audiovisual participation and identity, and address ethics, consent, traceability, and reproducibility on algorithmically curated short-video platforms. Methods. A systematic review of peer-reviewed empirical and methodological literature published between 2020 and 2026 was conducted using major academic databases and scholarly discovery platforms. Predefined eligibility criteria were applied, and 32 studies were included in the final synthesis. Findings were compared across field-site construction, sampling, algorithmic interpretation, audiovisual participation, identity, ethics, and traceability. Results. Field sites were commonly assembled through personalised feeds, hashtag- or audio-defined datasets, account-based communities, live events, and multi-sited platform comparison. Algorithmic curation was usually reconstructed inferentially from visible content or from the researcher's own feed. Sampling remained largely hashtag- and account-centred, while network-based approaches were uncommon. Ethics and reproducibility were unevenly documented: anonymisation was frequent, consent practices varied, and feed instability, language differences, and metadata gaps complicated traceability. Conclusions. Digital ethnography on short-video platforms has developed a diverse methodological repertoire, but shared standards for documenting personalisation, algorithmic inference, consent, and traceability remain limited. Comparative, multi-sited, and network-based designs offer important directions for future research.

Identifiants

OPENALEX

https://openalex.org/W7213984574

DOI

10.62486/net2026244

Repères documentaires

Famille documentaire

unknown

Types déclarés par les sources

review

Les mentions d’entités ne constituent pas une preuve de reconnaissance juridique. La juridiction étudiée est distincte du pays d’affiliation des auteurs.

Sources

OpenAlex · Document 1

• Document · https://doi.org/10.62486/net2026244

Statut documentaire

Pertinence à examiner

Bibliothèque

Cette identité n’est pas encore intégrée à la Bibliothèque juridique.