Evidence map›Paper›PMID 34539049›Full record

ArticleSocial networks2021

Re-evaluating standards of human subjects protection for sensitive health data in social media networks.

Kar-Hai Chu, Jason Colditz, Jaime Sidani, Michael Zimmer, Brian Primack

Abstract read
In one paragraph

Article in Social networks, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Kar-Hai ChuUniversity of Pittsburgh, Center for Research on Media, Technology, and Health, 230 McKee Place, Suite 600, Pittsburgh, PA 15213.
Jason ColditzUniversity of Pittsburgh, Center for Research on Media, Technology, and Health, 230 McKee Place, Suite 600, Pittsburgh, PA 15213.
Jaime SidaniUniversity of Pittsburgh, Center for Research on Media, Technology, and Health, 230 McKee Place, Suite 600, Pittsburgh, PA 15213.
Michael ZimmerUniversity of Wisconsin-Milwaukee, School of Information Studies, PO Box 413, Milwaukee, WI 53201.
Brian PrimackUniversity of Pittsburgh, Center for Research on Media, Technology, and Health, 230 McKee Place, Suite 600, Pittsburgh, PA 15213.

Funding

Leveraging Twitter to monitor nicotine and tobacco-related cancer communicationR01CA225773 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PRIMACK, BRIAN A. · 2018 to 2022
$1.9M
Leveraging mobile applications to maximize tobacco cessationK07CA222338 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHU, KAR-HAI · 2018 to 2021
$585k
NCI NIH HHS K07 CA222338NCI NIH HHS R01 CA225773
6 · The paper itself

Abstract

This study addresses ethical questions about conducting health science research using network data from social media platforms. We provide examples of ethically problematic areas related to participant consent, expectation of privacy, and social media networks. Further, to illustrate how researchers can maintain ethical integrity while leveraging social media networks, we describe a study that demonstrates the ability to use social media to identify individuals affected by cancer. We discuss best practices and ethical guidelines for studying social media network data, including data collection, analysis, and reporting.

Indexed as

health dataprivacyResearch ethicssocial media

Identifiers

PMID34539049
PMCPMC8447877

What OpenQuestion holds

Textmetadata
LicenceTDM
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.