Tools and techniques for capturing possible HIV risk-related tweets of Filipinos

Although the number of HIV cases in the Philippines has been steadily increasing, limited studies have been conducted to mitigate the root cause of this problem. The Department of Health expressed the need to design intervention programs to monitor this epidemic. In this study, researchers explored...

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Main Authors: Manaloto, Alma Theresa D., Raga, Rodolfo C.
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Published: Animo Repository 2020
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/3369
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Institution: De La Salle University
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-43712022-06-17T01:04:35Z Tools and techniques for capturing possible HIV risk-related tweets of Filipinos Manaloto, Alma Theresa D. Raga, Rodolfo C. Although the number of HIV cases in the Philippines has been steadily increasing, limited studies have been conducted to mitigate the root cause of this problem. The Department of Health expressed the need to design intervention programs to monitor this epidemic. In this study, researchers explored emerging technologies to generate new data that can be used for further studies. A focus group discussion (FGD) among Persons Living with HIV (PLHIV) was conducted to determine how Filipino Men Having Sex with Men (MSM) communicate with each other online. The most common words produced from the FGD were presented to HIV domain experts and validated. In order to collect quantitative data, tweets were extracted to generate profiles of online interactions. Tweepy, a Python library used in accessing the Twitter Advanced Programming Interface (API), was used to collect tweets and the bounding box tool was used to filter tweets coming from the Philippines. The researchers acknowledged that majority of MSM Twitter users preferred to disable geolocation, other techniques were applied to capture risk-related tweets from Filipino MSMs. MySql was considered to handle the tweet repository. A total of 206,822 tweets were extracted from October 8, 2019 to November 6 of the same year. Among all the tweets collected, there are significant amount of tweets that indicate risk related to HIV. Results indicate that Twitter can be utilized to produce data that the government can use to identify high risk locations that required more attention in terms of HIV intervention. © IJSTR 2020. 2020-04-01T07:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/3369 Faculty Research Work Animo Repository Computational linguistics--Philippines HIV infections--Philippines Microblogs--Philippines Twitter Global Positioning System Computer Sciences
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Computational linguistics--Philippines
HIV infections--Philippines
Microblogs--Philippines
Twitter
Global Positioning System
Computer Sciences
spellingShingle Computational linguistics--Philippines
HIV infections--Philippines
Microblogs--Philippines
Twitter
Global Positioning System
Computer Sciences
Manaloto, Alma Theresa D.
Raga, Rodolfo C.
Tools and techniques for capturing possible HIV risk-related tweets of Filipinos
description Although the number of HIV cases in the Philippines has been steadily increasing, limited studies have been conducted to mitigate the root cause of this problem. The Department of Health expressed the need to design intervention programs to monitor this epidemic. In this study, researchers explored emerging technologies to generate new data that can be used for further studies. A focus group discussion (FGD) among Persons Living with HIV (PLHIV) was conducted to determine how Filipino Men Having Sex with Men (MSM) communicate with each other online. The most common words produced from the FGD were presented to HIV domain experts and validated. In order to collect quantitative data, tweets were extracted to generate profiles of online interactions. Tweepy, a Python library used in accessing the Twitter Advanced Programming Interface (API), was used to collect tweets and the bounding box tool was used to filter tweets coming from the Philippines. The researchers acknowledged that majority of MSM Twitter users preferred to disable geolocation, other techniques were applied to capture risk-related tweets from Filipino MSMs. MySql was considered to handle the tweet repository. A total of 206,822 tweets were extracted from October 8, 2019 to November 6 of the same year. Among all the tweets collected, there are significant amount of tweets that indicate risk related to HIV. Results indicate that Twitter can be utilized to produce data that the government can use to identify high risk locations that required more attention in terms of HIV intervention. © IJSTR 2020.
format text
author Manaloto, Alma Theresa D.
Raga, Rodolfo C.
author_facet Manaloto, Alma Theresa D.
Raga, Rodolfo C.
author_sort Manaloto, Alma Theresa D.
title Tools and techniques for capturing possible HIV risk-related tweets of Filipinos
title_short Tools and techniques for capturing possible HIV risk-related tweets of Filipinos
title_full Tools and techniques for capturing possible HIV risk-related tweets of Filipinos
title_fullStr Tools and techniques for capturing possible HIV risk-related tweets of Filipinos
title_full_unstemmed Tools and techniques for capturing possible HIV risk-related tweets of Filipinos
title_sort tools and techniques for capturing possible hiv risk-related tweets of filipinos
publisher Animo Repository
publishDate 2020
url https://animorepository.dlsu.edu.ph/faculty_research/3369
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