Evidence map›Paper›PMID 38603128›Full record

ArticleMobile media & communication2022

Where horizontal and vertical surveillances meet: Sense-making of US COVID-19 contact-tracing apps during a health crisis.

Jeeyun Sophia Baik, Eugene Jang

Open access · hybridAbstract read
In one paragraph

Article in Mobile media & communication, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
4.5field-weighted citation impact, top 5% of its field
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

3 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 at 2 institutions in 1 country.

Jeeyun Sophia BaikUC Berkeley School of Information, USA.ORCID https://orcid.org/0000-0001-5057-1432
Eugene JangUniversity of Southern California, USA.
University of California, Berkeley · USUniversity of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analyzing user reviews of seven US digital contact-tracing apps for COVID-19, this article unpacks how the new form of surveillance technology is understood and experienced by individuals during a global health crisis. The findings suggest that the app users felt empowered via self-tracking capacity and expressed community-level care and concerns, including those regarding the marginalized. At the same time, the users were raising doubts over technical effectiveness, navigating varying levels of voluntary choice available, and negotiating privacy concerns depending on the (dis)trust they held of institutional entities behind the governance of the apps. We argue that it is critical to investigate how surveillance technologies are situated across horizontal and vertical relationships in people's everyday lives to fully understand the individual and societal acceptance and/or refusal of the very systems during crises.

Indexed as

COVID-19crisis informaticsdigital contact tracingmobile appsprivacysurveillance

Identifiers

PMID38603128
PMCPMC8844438
OpenAlexW4211173321

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.