research-article

Analyzing social media to characterize local HIV at-risk populations

Authors:

Narendran Thangarajan,

Amarnath Gupta,

Nadir WeibelAuthors Info & Claims

WH '15: Proceedings of the conference on Wireless Health

Article No.: 11, Pages 1 - 8

https://doi.org/10.1145/2811780.2811923

Published: 14 October 2015 Publication History

Abstract

The number of new HIV infections per year in the U.S. has remained stable at 50,000 since the 1990's. To improve epidemic control, we need more public health tools that are aimed at decreasing HIV transmission. Online social networks and their real-time communication capabilities are emerging as novel platforms for conducting epidemiological studies and recent research has outlined the feasibility of using Twitter to study HIV epidemiology. We propose a new method for identifying HIV at-risk populations using publicly available data from Twitter as an indicator of HIV risk. In this paper we take existing approaches further by introducing a new infrastructure to collect, classify, query and visualize these data, and we show the feasibility of identifying and characterizing HIV at-risk populations in the San Diego area at a finer level of granularity.

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Cited By

Mageshwari VAroquiaraj I(2024)A novel technique for identification and classification of HIV/AIDS related social media data using LD-KMEANS and DBN-LSTMMultimedia Tools and Applications10.1007/s11042-024-19283-9Online publication date: 10-May-2024
https://doi.org/10.1007/s11042-024-19283-9
Young LNan YJang EStevens R(2023)Digital Epidemiological Approaches in HIV Research: a Scoping Methodological ReviewCurrent HIV/AIDS Reports10.1007/s11904-023-00673-x20:6(470-480)Online publication date: 2-Nov-2023
https://doi.org/10.1007/s11904-023-00673-x
Clavier VPaganelli C(2019)L’ouverture des données de la recherche dans le cadre d’un projet pluridisciplinaire entre SIC et informatique : le cas des médias sociaux de santéOpen Research Data in a Multidisciplinary Project Combining Information and Communication Science and Computer Science. The Case of Social Media in HealthcareÉtudes de communication10.4000/edc.8759(117-136)Online publication date: 11-Dec-2019
https://doi.org/10.4000/edc.8759
Show More Cited By

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Analyzing social media to characterize local HIV at-risk populations

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cover image ACM Other conferences

WH '15: Proceedings of the conference on Wireless Health

October 2015

157 pages

ISBN:9781450338516

DOI:10.1145/2811780

General Chairs:
Wendy Nilsen
National Institutes of Health
,
Jack Stankovic
University of Virginia

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 October 2015

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NIH NIAID, UCSD CFAR
NIH NIAID
UC San Diego Frontiers of Innovation Scholars Program

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WH '15

WH '15: Wireless Health 2015 Conference

October 14 - 16, 2015

Maryland, Bethesda

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WH '15 Paper Acceptance Rate 28 of 106 submissions, 26%;

Overall Acceptance Rate 35 of 139 submissions, 25%

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Cited By

Mageshwari VAroquiaraj I(2024)A novel technique for identification and classification of HIV/AIDS related social media data using LD-KMEANS and DBN-LSTMMultimedia Tools and Applications10.1007/s11042-024-19283-9Online publication date: 10-May-2024
https://doi.org/10.1007/s11042-024-19283-9
Young LNan YJang EStevens R(2023)Digital Epidemiological Approaches in HIV Research: a Scoping Methodological ReviewCurrent HIV/AIDS Reports10.1007/s11904-023-00673-x20:6(470-480)Online publication date: 2-Nov-2023
https://doi.org/10.1007/s11904-023-00673-x
Clavier VPaganelli C(2019)L’ouverture des données de la recherche dans le cadre d’un projet pluridisciplinaire entre SIC et informatique : le cas des médias sociaux de santéOpen Research Data in a Multidisciplinary Project Combining Information and Communication Science and Computer Science. The Case of Social Media in HealthcareÉtudes de communication10.4000/edc.8759(117-136)Online publication date: 11-Dec-2019
https://doi.org/10.4000/edc.8759
Barros JDuggan JRebholz-Schuhmann D(2019)Internet-Based Sources of Health Information: A Systematic Literature Review (Preprint)Journal of Medical Internet Research10.2196/13680Online publication date: 24-Feb-2019
https://doi.org/10.2196/13680
Harlow JWeibel NAl Kotob RChan VBloss CLinares-Orozco RTakemoto MNebeker C(2019)Using Participatory Design to Inform the Connected and Open Research Ethics (CORE) CommonsScience and Engineering Ethics10.1007/s11948-019-00086-3Online publication date: 6-Feb-2019
https://doi.org/10.1007/s11948-019-00086-3
Weibel NOliver NCzerwinski M(2017)New frontiers for pervasive telemedicineProceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare10.1145/3154862.3154912(276-281)Online publication date: 23-May-2017
https://dl.acm.org/doi/10.1145/3154862.3154912
Nebeker CHarlow JEspinoza Giacinto ROrozco-Linares RBloss CWeibel N(2017)Ethical and regulatory challenges of research using pervasive sensing and other emerging technologies: IRB perspectivesAJOB Empirical Bioethics10.1080/23294515.2017.14039808:4(266-276)Online publication date: 10-Nov-2017
https://doi.org/10.1080/23294515.2017.1403980

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