A peek into one’s emotion through pen: analyzing individual’s emotion through their thoughts expressed on various social media platforms using ensemble classifier

Shree, Shalini; Chudhey, Arshdeep Singh

doi:10.1109/icecct52121.2021.9616713

Cited by 1 publication

(1 citation statement)

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“…Several algorithms have used social media posts, such as posts from Twitter and Reddit, to identify such suicide risk factors as cyberbullying victimization (96 percent accuracy [Bharti et al, 2022]) and depression (73 percent accuracy [De Choudhury et al, 2021]) in adolescents, although these algorithms have not identified suicidal thoughts and behaviors themselves. One evaluation of an algorithm that is intended to identify suicidal thoughts expressed on social media platforms found that classifiers were able to correctly identify emotions but did not assess whether the identified emotions related to suicidal thoughts or behaviors (Shree and Chudhey, 2021).…”

Section: There Is Limited Evidence For Accuracy Of Online Activity Da...mentioning

confidence: 99%

Artificial Intelligence–Based Student Activity Monitoring for Suicide Risk: Considerations for K–12 Schools, Caregivers, Government, and Technology Developers

2023

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Schools are increasingly relying on artificial intelligence (AI) technology to assist with a variety of tasks, including identifying students who are at risk for suicide. Specifically, schools use software that is loaded on school-issued devices to monitor students' digital activity (e.g., Google search terms). This software applies proprietary algorithms and alerts school staff when a student's activity suggests suicide risk. These programs have been the subject of controversy, but there is scant research on how they are used and their potential risks and benefits. The main goal of this report is to document how AI-based suicide risk monitoring is being implemented in schools and how it is affecting communities. Using this information, we offer recommendations for schools, caregivers, policymakers, and technology developers. RAND Education and LaborThis study was undertaken by RAND Education and Labor, a division of the RAND Corporation that conducts research on early childhood through postsecondary education programs, workforce development, and programs and policies affecting workers, entrepreneurship, and financial literacy and decisionmaking.More information about RAND can be found at www.rand.org. Questions about this report should be directed to Lynsay_Ayer

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Section: There Is Limited Evidence For Accuracy Of Online Activity Da...mentioning

confidence: 99%

Artificial Intelligence–Based Student Activity Monitoring for Suicide Risk: Considerations for K–12 Schools, Caregivers, Government, and Technology Developers

2023

View full text Add to dashboard Cite

show abstract

A peek into one’s emotion through pen: analyzing individual’s emotion through their thoughts expressed on various social media platforms using ensemble classifier

Cited by 1 publication

References 9 publications

Artificial Intelligence–Based Student Activity Monitoring for Suicide Risk: Considerations for K–12 Schools, Caregivers, Government, and Technology Developers

Artificial Intelligence–Based Student Activity Monitoring for Suicide Risk: Considerations for K–12 Schools, Caregivers, Government, and Technology Developers

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