Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis | Paper Citation Record

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This paper cites Adult ADHD and comorbid de- pression: a consensus-derived diagnostic algorithm for ADHD.

Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Adult ADHD and comorbid de- pression: a consensus-derived diagnostic algorithm for ADHD

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Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Unresolved cited work

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This paper cites Anxiety and depression in adults with autism spectrum disorder: a systematic review and meta-analysis.

Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Anxiety and depression in adults with autism spectrum disorder: a systematic review and meta-analysis

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Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Unresolved cited work

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This paper cites Does executive functioning (EF) predict depression in clinic- referred adults?: EF tests vs.

Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Does executive functioning (EF) predict depression in clinic- referred adults?: EF tests vs

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This paper cites Having All of Your Internal Resources Exhausted Beyond Measure and Being 15 Left with No Clean-Up Crew.

Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Having All of Your Internal Resources Exhausted Beyond Measure and Being 15 Left with No Clean-Up Crew

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This paper cites Social and nonsocial reward moderate the relation between autism symptoms and loneliness in adults with ASD, depression, and controls.

Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Social and nonsocial reward moderate the relation between autism symptoms and loneliness in adults with ASD, depression, and controls

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Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Unresolved cited work

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This paper cites Depression is not a consistent syndrome: an investigation of unique symptom patterns in the STAR*D study.

Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Depression is not a consistent syndrome: an investigation of unique symptom patterns in the STAR*D study

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This paper cites Detecting depression and mental illness on social media: an integrative review.

Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Detecting depression and mental illness on social media: an integrative review

Reference 10

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This paper cites Detecting and measuring depression on social media using a machine learning approach: systematic review.

Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Detecting and measuring depression on social media using a machine learning approach: systematic review

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This paper cites Detection of depression-related posts in Reddit social media forum.

Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Detection of depression-related posts in Reddit social media forum

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Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Language use of depressed and depression-vulnerable college students

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Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis BERT: pre-training of deep bidirectional transformers for language understanding

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This paper cites Language of ADHD in adults on so- cial media.

Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Language of ADHD in adults on so- cial media

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This paper cites Using #ActuallyAutistic on Twitter for precision diagnosis of autism spec- trum disorder: machine learning study.

Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Using #ActuallyAutistic on Twitter for precision diagnosis of autism spec- trum disorder: machine learning study

Reference 16

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This paper cites MentalBERT: publicly available pretrained lan- guage models for mental healthcare.

Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis MentalBERT: publicly available pretrained lan- guage models for mental healthcare

Reference 17

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This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 18

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This paper cites ReDSM5: a Reddit dataset for DSM-5 depression detection.

Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis ReDSM5: a Reddit dataset for DSM-5 depression detection

Reference 19

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This paper cites Extracting mental health indicators from English and Spanish social media: a machine learning approach.

Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Extracting mental health indicators from English and Spanish social media: a machine learning approach

Reference 20

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This paper cites Diagnostic and Statistical Manual of Mental Disorders.

Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Diagnostic and Statistical Manual of Mental Disorders

Reference 21

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Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Cross-platform detection of psychiatric hospitalization via social media data: comparison study

Reference 22

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This paper cites Building Efficient Universal Classifiers with Natural Language Inference.

Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Building Efficient Universal Classifiers with Natural Language Inference

Reference 23

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This paper cites Quantifying changes in the language used around mental health on Twitter over 10 years: observational study.

Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Quantifying changes in the language used around mental health on Twitter over 10 years: observational study

Reference 24

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This paper cites The World Federation of ADHD International Consensus Statement: 208 evidence-based conclusions about the disorder.

Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis The World Federation of ADHD International Consensus Statement: 208 evidence-based conclusions about the disorder

Reference 25

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This paper cites Shared heritability of attention-deficit/hyperactivity disorder and autism spectrum disorder.

Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Shared heritability of attention-deficit/hyperactivity disorder and autism spectrum disorder

Reference 26

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This paper cites Prevalence and characteristics of autism spectrum disorder among children aged 8 years — Autism and Developmental Disabilities Monitoring Network, 11 sites, United States, 2020.

Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Prevalence and characteristics of autism spectrum disorder among children aged 8 years — Autism and Developmental Disabilities Monitoring Network, 11 sites, United States, 2020

Reference 27

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Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Unresolved cited work

Reference 28

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This paper cites Prevalence of co-occurring mental health diagnoses in the autism population: a systematic review and meta-analysis.

Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Prevalence of co-occurring mental health diagnoses in the autism population: a systematic review and meta-analysis

Reference 29

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Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Understanding and prevention of suicide in autism

Reference 30

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This paper cites Putting on my best normal.

Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Putting on my best normal

Reference 31

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Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Sleep problems in adults with ADHD: prevalences and their relationship with psychiatric comorbidity

Reference 32

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This paper cites The risk of eating disorders comorbid with attention-deficit/hyperactivity disorder: a systematic review and meta-analysis.

Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis The risk of eating disorders comorbid with attention-deficit/hyperactivity disorder: a systematic review and meta-analysis

Reference 33

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This paper cites Major depressive disorder is associated with broad impairments on neuropsychological measures of executive function: a meta-analysis and review.

Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Major depressive disorder is associated with broad impairments on neuropsychological measures of executive function: a meta-analysis and review

Reference 34

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This paper cites From ADHD to SAD: analyzing the language of mental health on Twitter through self-reported diagnoses.

Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis From ADHD to SAD: analyzing the language of mental health on Twitter through self-reported diagnoses

Reference 35

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Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis The psychological meaning of words: LIWC and computerized text analysis methods

Reference 36

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Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Natural language processing applied to mental illness detection: a narrative review

Reference 37

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Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Attention Is All You Need

Reference 38

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Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Multi-label classification: an overview

Reference 39

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Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Survey on deep learning with class imbalance

Reference 40

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Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Improving neural networks by preventing co-adaptation of feature detectors

Reference 41

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Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Decoupled Weight Decay Regularization

Reference 42

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Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Regression shrinkage and selection via the lasso

Reference 43

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Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Unresolved cited work

Reference 44

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Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis A study of cross-validation and bootstrap for accuracy estimation and model selection

Reference 45

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Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Bootstrap methods: another look at the jackknife

Reference 46

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Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis The meaning and use of the area under a receiver operating characteristic (ROC) curve

Reference 47

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This paper cites Harnessing smartphone-based digital phenotyping to enhance behavioral and mental health.

Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Harnessing smartphone-based digital phenotyping to enhance behavioral and mental health

Reference 48

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Observation 288daa10-b500-4cc7-941b-d1b43e1e1685 · outbound

This paper cites Ethical issues in using Twitter for population-level depression moni- toring: a qualitative study.

Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Ethical issues in using Twitter for population-level depression moni- toring: a qualitative study

Reference 49

Resolution: malformed identifier; no resolver link, observed 2026-07-11T04:43:58.910824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1569b6e9-e876-40e2-afc9-257a313ca38b · outbound

This paper cites Social data: biases, methodological pitfalls, and ethi- cal boundaries.

Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Social data: biases, methodological pitfalls, and ethi- cal boundaries

Reference 50

Resolution: verified exact; doi, observed 2026-07-11T04:47:46.625325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4ffab329-2a58-46a2-8b66-132e2a9f3fef · outbound

This paper cites DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing.

Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing

Reference 51

Resolution: unresolved; no resolver link, observed 2026-07-11T04:43:58.910824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d65e5925-54c3-4098-be6d-ad2fea9367a3 · outbound

This paper cites Hugging Face.

Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Hugging Face

Reference 52

Resolution: unresolved; no resolver link, observed 2026-07-11T04:43:58.910824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dcbf3b7-8f4a-492b-9c6e-90b614a3c510 · outbound

This paper cites Using text mining for study iden- tification in systematic reviews: a systematic review of current approaches.

Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Using text mining for study iden- tification in systematic reviews: a systematic review of current approaches

Reference 53

Resolution: unresolved; no resolver link, observed 2026-07-11T04:43:58.910824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 701de6a0-a0a7-4dfa-9ac3-481894ed10ea · outbound

This paper cites Passage Re-ranking with BERT.

Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis Passage Re-ranking with BERT

Reference 54

Resolution: unresolved; no resolver link, observed 2026-07-11T04:43:58.910824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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