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1
Artificial Intelligence for Mental Health Care: Clinical Applications, Barriers, Facilitators, and Artificial Wisdom.
In: Biological psychiatry. Cognitive neuroscience and neuroimaging, vol 6, iss 9 (2021)
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2
Latent Hatred: A Benchmark for Understanding Implicit Hate Speech ...
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3
Understanding Side Effects of Antidepressants: Large-scale Longitudinal Study on Social Media Data
In: JMIR Ment Health (2021)
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4
Designing a Clinician-Facing Tool for Using Insights From Patients’ Social Media Activity: Iterative Co-Design Approach
In: JMIR Ment Health (2020)
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5
Identifying emerging mental illness utilizing search engine activity: A feasibility study
In: PLoS One (2020)
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6
The Language of LGBTQ+ Minority Stress Experiences on Social Media
In: Proc ACM Hum Comput Interact (2019)
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7
A Social Media Based Examination of the Effects of Counseling Recommendations after Student Deaths on College Campuses
In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 12 No. 1 (2018): Twelfth International AAAI Conference on Web and Social Media ; 2334-0770 ; 2162-3449 (2018)
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8
A Social Media Based Examination of the Effects of Counseling Recommendations After Student Deaths on College Campuses
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9
#anorexia, #anarexia, #anarexyia: Characterizing Online Community Practices with Orthographic Variation ...
Abstract: Distinctive linguistic practices help communities build solidarity and differentiate themselves from outsiders. In an online community, one such practice is variation in orthography, which includes spelling, punctuation, and capitalization. Using a dataset of over two million Instagram posts, we investigate orthographic variation in a community that shares pro-eating disorder (pro-ED) content. We find that not only does orthographic variation grow more frequent over time, it also becomes more profound or deep, with variants becoming increasingly distant from the original: as, for example, #anarexyia is more distant than #anarexia from the original spelling #anorexia. These changes are driven by newcomers, who adopt the most extreme linguistic practices as they enter the community. Moreover, this behavior correlates with engagement: the newcomers who adopt deeper orthographic variants tend to remain active for longer in the community, and the posts that contain deeper variation receive more positive feedback ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Social and Information Networks cs.SI
URL: https://dx.doi.org/10.48550/arxiv.1712.01411
https://arxiv.org/abs/1712.01411
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10
The Language of Social Support in Social Media and Its Effect on Suicidal Ideation Risk
In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 11 No. 1 (2017): Eleventh International AAAI Conference on Web and Social Media ; 2334-0770 ; 2162-3449 (2017)
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11
The Language of Social Support in Social Media and its Effect on Suicidal Ideation Risk
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12
Computational Approaches Toward Integrating Quantified Self Sensing and Social Media
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13
Characterizing Smoking and Drinking Abstinence from Social Media
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14
Identity Management and Mental Health Discourse in Social Media
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15
Predicting Depression via Social Media
In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 7 No. 1 (2013): Seventh International AAAI Conference on Weblogs and Social Media ; 2334-0770 ; 2162-3449 (2013)
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16
Not All Moods Are Created Equal! Exploring Human Emotional States in Social Media
In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 6 No. 1 (2012): Sixth International AAAI Conference on Weblogs and Social Media ; 2334-0770 ; 2162-3449 (2012)
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17
Happy, Nervous or Surprised? Classification of Human Affective States in Social Media
In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 6 No. 1 (2012): Sixth International AAAI Conference on Weblogs and Social Media ; 2334-0770 ; 2162-3449 (2012)
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