Evidence map›Paper›PMID 28483739›Full record

ArticleJournal of medical Internet research2017

Characterizing Awareness of Schizophrenia Among Facebook Users by Leveraging Facebook Advertisement Estimates.

Koustuv Saha, Ingmar Weber, Michael L Birnbaum, Munmun De Choudhury

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
21.6field-weighted citation impact, top 1% 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

16 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Review
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  5. Article
  6. Infodemiology and Infoveillance: Scoping Review.Journal of medical Internet research · 2020
    Article
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  8. Article
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  11. A Social Media Study on the Effects of Psychiatric Medication Use.Proceedings of the ... International AAAI Conference on Weblogs and Social Media. International AAAI Conference on Weblogs and Social Media · 2019
    Article
  12. Article
  13. Article
  14. Article
  15. Toward Impactful Collaborations on Computing and Mental Health.Journal of medical Internet research · 2018
    Article
  16. 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

4 authors at 3 institutions in 2 countries.

Koustuv SahaSchool of Interactive Computing, Georgia Institute of Technology, Atlanta, GA, United States.ORCID 0000-0002-8872-2934
Ingmar WeberQatar Computing Research Institute, Hamad Bin Khalifa University, Doha, Qatar.ORCID 0000-0003-4169-2579
Michael L BirnbaumThe Zucker Hillside Hospital, Psychiatry Research, Northwell Health, Glean Olks, NY, United States.ORCID 0000-0002-4285-7868
Munmun De ChoudhurySchool of Interactive Computing, Georgia Institute of Technology, Atlanta, GA, United States.ORCID 0000-0002-8939-264X
Georgia Institute of Technology · USFeinstein Institute for Medical Research · USHamad bin Khalifa University · QA

Funding

Social Media Signals for Post-traumatic Stress and Anxiety in Crisis-Inflicted CommunitiesR01GM112697 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI DE CHOUDHURY, MUNMUN · 2014 to 2018
$1.4M
NIGMS NIH HHS R01 GM112697
6 · The paper itself

Abstract

backgroundSchizophrenia is a rare but devastating condition, affecting about 1% of the world's population and resulting in about 2% of the US health care expenditure. Major impediments to appropriate and timely care include misconceptions, high levels of stigma, and lack of public awareness. Facebook offers novel opportunities to understand public awareness and information access related to schizophrenia, and thus can complement survey-based approaches to assessing awareness that are limited in scale, robustness, and temporal and demographic granularity.

objectiveThe aims of this study were to (1) construct an index that measured the awareness of different demographic groups around schizophrenia-related information on Facebook; (2) study how this index differed across demographic groups and how it correlated with complementary Web-based (Google Trends) and non-Web-based variables about population well-being (mental health indicators and infrastructure), and (3) examine the relationship of Facebook derived schizophrenia index with other types of online activity as well as offline health and mental health outcomes and indicators.

methodsData from Facebook's advertising platform was programmatically collected to compute the proportion of users in a target demographic group with an interest related to schizophrenia. On consultation with a clinical expert, several topics were combined to obtain a single index measuring schizophrenia awareness. This index was then analyzed for differences across US states, gender, age, ethnic affinity, and education level. A statistical approach was developed to model a group's awareness index based on the group's characteristics.

resultsOverall, 1.03% of Facebook users in the United States have a schizophrenia-related interest. The schizophrenia awareness index (SAI) is higher for females than for males (1.06 vs 0.97, P<.001), and it is highest for the people who are aged 25-44 years (1.35 vs 1.03 for all ages, P<.001). The awareness index drops for higher education levels (0.68 for MA or PhD vs 1.92 for no high school degree, P<.001), and Hispanics have the highest level of interest (1.57 vs 1.03 for all ethnic affinities, P<.001). A regression model fit to predict a group's interest level achieves an adjusted R

conclusionsFacebook's advertising platform can be used to construct a plausible index of population-scale schizophrenia awareness. However, only estimates of awareness can be obtained, and the index provides no information on the quality of the information users receive online.

Indexed as

AdultAdvertisingAgedAwarenessFemaleHumansMaleMiddle AgedSchizophreniaSocial MediaSurveys and QuestionnairesUnited StatesFacebookhealth awarenessmental healthonline social networkspsychotic disorderspublic healthschizophrenia

Identifiers

PMID28483739
PMCPMC5440734
OpenAlexW2613988912

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.