115 Publications (Page 1 of 5)
2023
Deep learning for topical trend discovery in online discourse about Pre-Exposure Prophylaxis (PrEP)Edinger, Andy⋅Edinger, Andy⋅Valdez, Danny⋅Valdez, Danny⋅Walsh-Buhi, Eric⋅Walsh-Buhi, Eric⋅Bollen, Johan and Bollen, JohanAIDS and Behavior, vol. 27, (no. 2), pp. 443-453, Feb 2023.
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Misinformation and Public Health Messaging in the Early Stages of the Mpox Outbreak: Mapping the Twitter Narrative with Deep Learning.Edinger, Andy⋅Edinger, Andy⋅Valdez, Danny⋅Valdez, Danny⋅Walsh-Buhi, Eric⋅Walsh-Buhi, Eric⋅Trueblood, Jennifer S⋅Trueblood, Jennifer S⋅Lorenzo-Luaces, Lorenzo⋅Lorenzo-Luaces, Lorenzo⋅Rutter, Lauren A⋅Rutter, Lauren A⋅Bollen, Johan and Bollen, JohanJournal of medical Internet research, May 9, 2023.
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Online identity as a collective labeling process. Journal of Physics: Complexity
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Using natural language processing to understand changes in emotions and psychopathology: Evidence from observational cohorts and a clinical trial
2022
Deep learning for topical trend discovery in online discourse about Pre-Exposure Prophylaxis (PrEP).Edinger, Andy⋅Edinger, Andy⋅Edinger, A.⋅Valdez, Danny⋅Valdez, D.⋅Valdez, Danny⋅Walsh-Buhi, Eric⋅Walsh-Buhi, Eric⋅Walsh Buhi, E.⋅Bollen, Johan⋅Bollen, J. and Bollen, JohanAIDS and behavior, August 2, 2022.
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“I haven’t been diagnosed, but I should be”: Insight into self-diagnoses of common mental health disorders (Preprint)
“I haven’t been diagnosed, but I should be”: Insight into self-diagnoses of common mental health disorders (Preprint) JMIR Formative Research
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Misinformation and Public Health Messaging in the Early Stages of the Mpox Outbreak: Mapping the Twitter Narrative With Deep Learning (Preprint)
Misinformation and Public Health Messaging in the Early Stages of the Mpox Outbreak: Mapping the Twitter Narrative with Deep Learning (Preprint) Journal of Medical Internet Research
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Quantifying collective identity online from self-defining hashtagsBarron, Alexander T. J. and Bollen, JohanScientific Reports (Nature Publisher Group), vol. 12, (no. 1), 2022.
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Quantifying societal emotional resilience to natural disasters from geo-located social media contentBathina, Krishna⋅Bathina, Krishna⋅⋅⋅Bollen, Johan and Bollen, JohanPLoS One, vol. 17, (no. 6), Jun 2022.
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Reply to Sun: Making sense of language change. Proceedings of the National Academy of Sciences
Sociodemographics and Transdiagnostic Mental Health Symptoms in SOCIAL (Studies of Online Cohorts for Internalizing Symptoms and Language) I and II: Cross-sectional Survey and Botometer Analysis.Lorenzo-Luaces, Lorenzo⋅Howard, Jacqueline⋅Edinger, Andy⋅Yan, Harry Yaojun⋅Rutter, Lauren A⋅Valdez, Danny and Bollen, JohanJMIR formative research, vol. 6, (no. 10), pp. e39324, October 20, 2022.
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Studies of Online Cohorts for Internalizing symptoms and Language (SOCIAL) I and II: Baseline assessments and rationale
Studies of Online Cohorts for Internalizing symptoms and Language (SOCIAL) I and II: Triangulating surveys and social media data (Preprint) JMIR Formative Research
Study of Online Cohorts for Internalizing symptoms and Language (SOCIAL) Study I and II: Baseline assessments, rationale, and validity of social media accounts (Preprint)
2021
Declining well-being during the COVID-19 pandemic reveals US social inequities.Bathina, Krishna C⋅Bathina, Krishna C⋅Ten Thij, Marijn⋅Valdez, Danny⋅Valdez, Danny⋅Rutter, Lauren A⋅Rutter, Lauren A⋅Bollen, Johan and Bollen, JohanPloS one, vol. 16, (no. 7), pp. e0254114, 2021.
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Historical language records reveal a surge of cognitive distortions in recent decades
Proceedings of the National Academy of Sciences. | Journal Article
Individuals with depression express more distorted thinking on social mediaBathina, Krishna C⋅⋅Lorenzo-Luaces, Lorenzo⋅Rutter, Lauren A and Nature Human Behaviour.
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Reply to Schmidt et al.: A robust surge of cognitive distortions in historical language
Proceedings of the National Academy of Sciences. | Journal Article
Temporal measures of societal optimism reveal inversion of sentiment toward the near and distant future
The rise and fall of rationality in language
Proceedings of the National Academy of Sciences. | Journal Article
2020
Depressed individuals express more distorted thinking on social mediaBathina, Krishna C⋅Bathina, Krishna C⋅Bathina, Krishna C⋅Thij, Marijn ten⋅Thij, Marijn ten⋅Thij, Marijn ten⋅Lorenzo Luaces, Lorenzo⋅Lorenzo-Luaces, Lorenzo⋅Lorenzo-Luaces, Lorenzo⋅Rutter, Lauren A⋅Rutter, Lauren A⋅Rutter, Lauren A⋅Bollen, Johan⋅Bollen, Johan and Bollen, Johan2020-02-07.
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Depression alters the circadian pattern of online activity.Ten Thij, Marijn⋅Ten Thij, Marijn⋅Thij, M.⋅Bathina, Krishna⋅Bathina, Krishna⋅Bathina, K.⋅Rutter, L.A.⋅Rutter, Lauren A⋅Rutter, Lauren A⋅Lorenzo-Luaces, Lorenzo⋅Lorenzo-Luaces, L.⋅Lorenzo-Luaces, Lorenzo⋅Leemput, I.A.⋅van de Leemput, Ingrid A⋅van de Leemput, Ingrid A⋅Scheffer, Marten⋅Scheffer, Marten⋅Scheffer, M.⋅Bollen, J.⋅Bollen, Johan and Bollen, JohanScientific reports, vol. 10, (no. 1), pp. 17272, October 14, 2020.
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Mining Social Media Data for Biomedical Signals and Health-Related BehaviorCorreia, Rion Brattig⋅Correia, Rion Brattig⋅Wood, Ian B⋅Wood, Ian B⋅Bollen, Johan⋅Bollen, Johan⋅Rocha, Luis M and Rocha, Luis MAnnual Review of Biomedical Data Science, vol. 3, (no. 1), 2020-07-20.
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