Universal Informatics · Research reading room

Quantifying Mental Health Signals in Twitter

Human Language Technology Center of Excellence, Johns Hopkins University

Original publication · Original publication

Evidence and provenance

Chapter Trust Factor uses a minimum of three distinct qualifying studies. Publication records retain their own evidence and assessment.

Study design and assessment
design
assessment
Not recorded
trust Factor
score
Not recorded
scope
Paper
status
unassessed
randomized Controlled Trial
Not recorded
blinding
not-confirmed
peer Reviewed
false
basis
Publication-specific design or publication status remains unconfirmed.
sources

https://www.aclweb.org/anthology/W14-3207

review Scope
Existing publication-specific assessments and bibliographic indexing; no blanket full-text appraisal.
assessed At
2026-10-27
jadad
status
unassessed
score
Not recorded
evidence
Not recorded
Topics and recorded topic scores
  1. key
    language:x
    title
    Digital communication, conversational therapies and mental health
    collection
    language
    trust Score
    2
  2. key
    general:language-x
    title
    Digital communication, conversational therapies and mental health
    collection
    general
    trust Score
    2
Citation snapshot and identifiers
id
src-6a76d25fd47a
doi
10.3115/v1/w14-3207
pmid
Not recorded
citation Snapshot
Not recorded
citations By Collection
language
Not recorded
general
Not recorded
Complete approved library record
id
src-6a76d25fd47a
publication Key
Not recorded
aliases
None recorded
title
Quantifying Mental Health Signals in Twitter
journal
Human Language Technology Center of Excellence, Johns Hopkins University
neurotransmitters
None recorded
year
Not recorded
authors
design
kind
Source record
identity Conflict
Not recorded
doi
10.3115/v1/w14-3207
urls

https://www.aclweb.org/anthology/W14-3207 · https://doi.org/10.3115/v1/w14-3207

collections

language · general

categories

Clinical & self-report

targets
None recorded
priority
1
quotes
None recorded
summary
limitation
citation Count
Not recorded
paper Trust Assessment
score
Not recorded
scope
Paper
status
unassessed
randomized Controlled Trial
Not recorded
blinding
not-confirmed
peer Reviewed
false
basis
Publication-specific design or publication status remains unconfirmed.
sources

https://www.aclweb.org/anthology/W14-3207

review Scope
Existing publication-specific assessments and bibliographic indexing; no blanket full-text appraisal.
assessed At
2026-10-27
citations By Collection
language
Not recorded
general
Not recorded
topics
  1. key
    language:x
    title
    Digital communication, conversational therapies and mental health
    collection
    language
    trust Score
    2
  2. key
    general:language-x
    title
    Digital communication, conversational therapies and mental health
    collection
    general
    trust Score
    2
journal Key
journal Label
Human Language Technology Center of Excellence, Johns Hopkins University
chapter Entries
  1. id
    language-x-src-6a76d25fd47a
    record Id
    src-6a76d25fd47a
    title
    Quantifying Mental Health Signals in Twitter
    journal
    Human Language Technology Center of Excellence, Johns Hopkins University
    year
    Not recorded
    authors
    design
    urls

    https://www.aclweb.org/anthology/W14-3207 · https://doi.org/10.3115/v1/w14-3207

    quotes
    None recorded
    citation Count
    Not recorded
    source Pages

    43

    targets
    None recorded
    categories

    Clinical & self-report

    doi
    10.3115/v1/w14-3207
    pmid
    Not recorded
    paper Trust Assessment
    score
    Not recorded
    scope
    Paper
    status
    unassessed
    randomized Controlled Trial
    Not recorded
    blinding
    not-confirmed
    peer Reviewed
    false
    basis
    Publication-specific design or publication status remains unconfirmed.
    sources

    https://www.aclweb.org/anthology/W14-3207

    review Scope
    Existing publication-specific assessments and bibliographic indexing; no blanket full-text appraisal.
    assessed At
    2026-10-27
    collection
    language
    chapter Number
    2
    topic Id
    x
    topic Title
    Digital communication, conversational therapies and mental health
    trust Score
    2
  2. id
    general-language-x-src-6a76d25fd47a
    record Id
    src-6a76d25fd47a
    title
    Quantifying Mental Health Signals in Twitter
    journal
    Human Language Technology Center of Excellence, Johns Hopkins University
    year
    Not recorded
    authors
    design
    urls

    https://www.aclweb.org/anthology/W14-3207 · https://doi.org/10.3115/v1/w14-3207

    quotes
    None recorded
    citation Count
    Not recorded
    source Pages

    43

    targets
    None recorded
    categories

    Clinical & self-report

    doi
    10.3115/v1/w14-3207
    pmid
    Not recorded
    paper Trust Assessment
    score
    Not recorded
    scope
    Paper
    status
    unassessed
    randomized Controlled Trial
    Not recorded
    blinding
    not-confirmed
    peer Reviewed
    false
    basis
    Publication-specific design or publication status remains unconfirmed.
    sources

    https://www.aclweb.org/anthology/W14-3207

    review Scope
    Existing publication-specific assessments and bibliographic indexing; no blanket full-text appraisal.
    assessed At
    2026-10-27
    collection
    general
    chapter Number
    4
    topic Id
    language-x
    topic Title
    Digital communication, conversational therapies and mental health
    trust Score
    2
jadad
status
unassessed
score
Not recorded
condition Evidence
None recorded
conditions
None recorded
topic Trust Scores

2

full Text
status
not-indexed
retrieval Available
false

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