Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/41370

HIV Risk on Twitter: the Ethical Dimension of Social Media Evidence-based Prevention for Vulnerable Populations

File SizeFormat 
paper0221.pdf2.62 MBAdobe PDFView/Open

Item Summary

Title: HIV Risk on Twitter: the Ethical Dimension of Social Media Evidence-based Prevention for Vulnerable Populations
Authors: Weibel, Nadir
Desai, Purvi
Saul, Lawrence
Gupta, Amarnath
Little, Susan
Keywords: Twitter
HIV/AIDS
Social Media
Digital Epidemiology
Ethics
Issue Date: 04 Jan 2017
Abstract: As of 2016 the HIV/AIDS epidemics is still a key public health problem. Recent reports showed that alarmingly high numbers of people in vulnerable populations are not reached by preventative efforts. Despite technology improvement, we are not yet able to identify populations that are most susceptible to HIV infections. In order to enable evidence-based prevention, we are studying new methods to identify HIV at-risk populations, exploiting Twitter posts as possible indicators of HIV risk. Our research on social network analysis and machine learning outlined the feasibility of using tweets as monitoring tool for HIV-related risk at the demographic, geographical, and social network level. However, this approach highlights ethical dilemmas in three different areas: data collection and analysis, risk inference through imperfect probabilistic approaches, and data-driven prevention. We contribute a description, analysis and discussion of ethics based on our 2-year experience with clinicians, IRBs, and local HIV communities in San Diego, California.
Pages/Duration: 10 pages
URI/DOI: http://hdl.handle.net/10125/41370
ISBN: 978-0-9981331-0-2
DOI: 10.24251/HICSS.2017.216
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Appears in Collections:Critical and Ethical Studies of Digital and Social Media Minitrack



Items in ScholarSpace are protected by copyright, with all rights reserved, unless otherwise indicated.