Evidence map›Paper›PMID 35853250›Full record

ArticleThe American journal of drug and alcohol abuse2022

Linguistic predictors from Facebook postings of substance use disorder treatment retention versus discontinuation.

Tingting Liu, Salvatore Giorgi, Kenna Yadeta, H Andrew Schwartz, Lyle H Ungar, Brenda Curtis

Abstract read
In one paragraph

Article in The American journal of drug and alcohol abuse, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Different Affordances on Facebook and SMS Text Messaging Do Not Impede Generalization of Language-Based Predictive Models.Proceedings of the ... International AAAI Conference on Weblogs and Social Media. International AAAI Conference on Weblogs and Social Media · 2023
    Article
  5. 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

6 authors.

Tingting LiuIntramural Research Program, National Institute on Drug Abuse, Baltimore, MD, USA.ORCID 0000-0002-8179-6180
Salvatore GiorgiIntramural Research Program, National Institute on Drug Abuse, Baltimore, MD, USA.ORCID 0000-0001-7381-6295
Kenna YadetaIntramural Research Program, National Institute on Drug Abuse, Baltimore, MD, USA.
H Andrew SchwartzPositive Psychology Center, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-6383-3339
Lyle H UngarPositive Psychology Center, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0003-2047-1443
Brenda CurtisIntramural Research Program, National Institute on Drug Abuse, Baltimore, MD, USA.ORCID 0000-0002-2511-3322

Funding

Digital Markers in Relapse and RecoveryZIADA000628 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI CURTIS, BRENDA · 2019 to 2025
$10.0M
Large-scale Data Scientific Assessment of Unhealthy Alcohol Consumption Among Front-Line Restaurant WorkersR01AA028032 · NIAAA · STATE UNIVERSITY NEW YORK STONY BROOK · PI SCHWARTZ, HANSEN ANDREW · 2020 to 2023
$2.5M
Predicting AOD Relapse and Treatment Completion from Social Media UseR01DA039457 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI UNGAR, LYLE · 2014 to 2016
$1.6M
SCH: Advancing Language-based Analyses of Social Media to Reliably Monitor Variation in PopulationR01MH125702 · NIMH · STATE UNIVERSITY NEW YORK STONY BROOK · PI EICHSTAEDT, JOHANNES C., SCHWARTZ, HANSEN ANDREW · 2021 to 2024
$1.2M
NIAAA NIH HHS R01 AA028032NIDA NIH HHS R01 DA039457NIMH NIH HHS R01 MH125702
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Social MediaSubstance-Related DisordersFemaleHumansLanguageLinguisticsMaleautomated text analysisdropoutmachine learningsocial media languageSubstance use disorder treatment

Identifiers

PMID35853250
PMCPMC10231268

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.