Evidence map›Paper›PMID 26797628›Full record

ArticleInternational journal of environmental research and public health2016

The Online Dissemination of Nature-Health Concepts: Lessons from Sentiment Analysis of Social Media Relating to "Nature-Deficit Disorder".

Marco Palomino, Tim Taylor, Ayse Göker, John Isaacs, Sara Warber

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.9field-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

15 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Psychological Disorder Identifying Method Based on Emotion Perception over Social Networks.International journal of environmental research and public health · 2019
    Article
  11. Article
  12. Understanding #WorldEnvironmentDay User Opinions in Twitter: A Topic-Based Sentiment Analysis Approach.International journal of environmental research and public health · 2018
    Article
  13. Mining Facebook Data of People with Rare Diseases: A Content-Based and Temporal Analysis.International journal of environmental research and public health · 2018
    Article
  14. Knowledge Discovery from Posts in Online Health Communities Using Unified Medical Language System.International journal of environmental research and public health · 2018
    Article
  15. 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 at 2 institutions in 2 countries.

Marco PalominoSchool of Computing and Digital Media, Robert Gordon University, Aberdeen, Scotland AB10 7GE, UK. m.a.palomino@rgu.ac.uk.
Tim TaylorEuropean Centre for Environment and Human Health, University of Exeter Medical School, Truro, Cornwall TR1 3HD, UK. timothy.j.taylor@exeter.ac.uk.
Ayse GökerSchool of Computing and Digital Media, Robert Gordon University, Aberdeen, Scotland AB10 7GE, UK. a.s.goker@rgu.ac.uk.
John IsaacsSchool of Computing and Digital Media, Robert Gordon University, Aberdeen, Scotland AB10 7GE, UK. j.p.isaacs@rgu.ac.uk.
Sara WarberEuropean Centre for Environment and Human Health, University of Exeter Medical School, Truro, Cornwall TR1 3HD, UK. swarber@umich.edu.
Robert Gordon University · GBUniversity of Exeter · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evidence continues to grow supporting the idea that restorative environments, green exercise, and nature-based activities positively impact human health. Nature-deficit disorder, a journalistic term proposed to describe the ill effects of people's alienation from nature, is not yet formally recognized as a medical diagnosis. However, over the past decade, the phrase has been enthusiastically taken up by some segments of the lay public. Social media, such as Twitter, with its opportunities to gather "big data" related to public opinions, offers a medium for exploring the discourse and dissemination around nature-deficit disorder and other nature-health concepts. In this paper, we report our experience of collecting more than 175,000 tweets, applying sentiment analysis to measure positive, neutral or negative feelings, and preliminarily mapping the impact on dissemination. Sentiment analysis is currently used to investigate the repercussions of events in social networks, scrutinize opinions about products and services, and understand various aspects of the communication in Web-based communities. Based on a comparison of nature-deficit-disorder "hashtags" and more generic nature hashtags, we make recommendations for the better dissemination of public health messages through changes to the framing of messages. We show the potential of Twitter to aid in better understanding the impact of the natural environment on human health and wellbeing.

Indexed as

CommunicationNatureSocial NetworkingHumansInformation DisseminationPublic HealthPublic OpinionSocial Mediabig datanature-deficit disordernature–healthsentiment analysisTwitter

Identifiers

PMID26797628
PMCPMC4730533
OpenAlexW2287794416

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.