Evidence map›Paper›PMID 29160814›Full record

ArticleInternational journal of environmental research and public health2017

Using Twitter to Explore (un)Healthy Housing: Learning from the #Characterbuildings Campaign in New Zealand.

Elinor Chisholm, Kimberley O'Sullivan

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Ecosystem Services: A Social and Semantic Network Analysis of Public Opinion on Twitter.International journal of environmental research and public health · 2022
    Article
  2. Article
  3. Understanding #WorldEnvironmentDay User Opinions in Twitter: A Topic-Based Sentiment Analysis Approach.International journal of environmental research and public health · 2018
    Article
  4. 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.

Elinor ChisholmHe Kainga Oranga/Housing and Health Research Programme, Department of Public Health, University of Otago, Wellington, P.O. Box 7343, Wellington 6242, New Zealand. elinor.chisholm@otago.ac.nz.ORCID 0000-0001-6720-0283
Kimberley O'SullivanHe Kainga Oranga/Housing and Health Research Programme, Department of Public Health, University of Otago, Wellington, P.O. Box 7343, Wellington 6242, New Zealand. kimberley.osullivan@otago.ac.nz.ORCID 0000-0002-2240-5901

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While increasingly used for research, Twitter remains largely untapped as a source of data about housing. We explore the growth of social media and use of Twitter in health and social research, and question why housing researchers have avoided using Twitter to explore housing issues to date. We use the #characterbuildings campaign, initiated by an online media platform in New Zealand in 2014 to illustrate that Twitter can provide insights into housing as a public health and social problem. We find that Twitter users share details of problems with past and present homes on this public platform, and that this readily available data can contribute to the case for improving building quality as a means of promoting public health. Moreover, the way people responded to the request to share details about their housing experiences provides insight into how New Zealanders conceive of housing problems.

Indexed as

HousingSocial MediaHumansNew ZealandPublic HealthSocial Conditionsbuilding qualitybuilding standardshousingpublic healthrental housingsocial mediatwitter

Identifiers

PMID29160814
PMCPMC5708063

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.