Evidence map›Paper›PMID 37333064›Full record

ReviewFrontiers in sociology2023

What is ethnographic about digital ethnography? A sociological perspective.

Peter Forberg, Kristen Schilt

Abstract readReview
In one paragraph

Review in Frontiers in sociology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Peter Forberg *Department of Sociology, University of Chicago, Chicago, IL, United States.
Kristen Schilt *Department of Sociology, University of Chicago, Chicago, IL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When COVID-19 health guidelines vastly restricted or shut down in-person ethnographic research in 2020, many researchers pivoted to forms of online qualitative research using platforms such as WeChat, Twitter, and Discord. This growing body of qualitative internet research in sociology is often encapsulated under the umbrella term "digital ethnography." But the question of what makes digital qualitative research ethnographic remains open. In this article, we posit that digital ethnographic research necessitates a negotiation of the ethnographer's self-presentation and co-presence within the field that other forms of qualitative research, such as content or discourse analysis, do not require to satisfy their epistemological stance. To make our case, we provide a brief overview of digital research in sociology and related disciplines. Then, we draw upon our experiences conducting ethnographies in digital communities and in-person communities (what we call here, "analog ethnography") to explore how decisions about self-presentation and co-presence facilitate or block the generation of meaningful ethnographic data. We think through pertinent questions such as: Does the lower barrier for anonymity online justify disguised research? Does anonymity generate thicker data? How should digital ethnographers participate in research environments? What are the possible repercussions of digital participation? We argue that digital and analog ethnographies share a common epistemology that is distinct from non-participatory forms of qualitative digital research-namely the need for the researcher to relationally gather data from the field site over an extended period of time.

Indexed as

anonymitydigital ethnographyethnographyhybrid ethnographyinternetparticipant observationqualitative research

Identifiers

PMID37333064
PMCPMC10272519

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.