00000nam a22000004a 4500 UP-1686042739785054850 Buklod 20240816112600.0 m |o d | ta 240702s2024 xxu r |||| u|eng d PHARM rda eng LG 993.5 2024 P5 A73 Arañez, Glyza Marie author Detecting vaccination information void signals a retrospective study in the Filipino Twitter space: development of social media listening system for detecting information void signals on COVID -19 vaccination Glyza Marie Arañez, Errol Buenaventura, Ron Martin Robles ; Clinton B. Gomez, adviser . Manila: Department of Pharmacy, College of Pharmacy, University of the Philippines Manila 2024 v, 60 leaves : 29 cm. text rdacontent unmediated rdamedia volume rdacarrier Thesis (Bachelor of Science in Pharmaceutical Sciences)--University of the Philippines Manila, June 2024 available to general public Online social media platforms facilitate the spread of mis- and disinformation about COVID-19 vaccination owing partially to undetected information void signals. To detect these signals, an approach adapted from Purnat et al. (2021) involving the extraction of mass tweet quantities and natural language processing was applied. Using a social networking scraper service, a total of 10,538 tweets were extracted from three individual time periods then reduced to 5,808 after data cleaning. For each time period, topic modeling was applied. The resulting generated topics were assessed by the weekly number of tweets mentioning them (volume), and the rate of change of these numbers (velocity). Three topics with the highest velocities were prioritized for manual examination and recording of questions regarding COVID-19 vaccination. The presence of questions was indicative of information void signals regarding the topic. A total of nine topics were identified based on velocity and within each were questions pertaining to COVID-19 vaccination. The confirmation of these signals using Google Search Trends and Twitter engagement data, and its importance in early information void detection as part of infodemic management were also recommended. COVID-19 (Disease) Vaccination Philippines. Social media Philippines. Twitter Philippines. Public health Philippines Data processing. Vaccination Public opinion Philippines. Health communication Philippines. Information behavior Philippines. Web scrapping. Natural language processing. Topic modeling. Information void. Infodemic. Buenaventura, Errol author . Robles, Ron Martin author . Gomez, Clinton B. adviser . FI UP UPMNL PHARM LG 993.5 2024 P5 A73 Thesis