Date of Publication
7-4-2022
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Statistics Major in Actuarial Science
Subject Categories
Mathematics
College
College of Science
Department/Unit
Mathematics and Statistics Department
Thesis Advisor
Shirlee R. Ocampo
Defense Panel Chair
Maria Angeli Reyes
Defense Panel Member
Frumencio F. Co
Abstract/Summary
The reliance on local news outlets for information may have a significant influence on people’s opinions and sentiments, especially with a trending topic as the 2022 National Elections. This study aimed to verify this by investigating the existence and direction of that influence. Public tweets regarding this election were collected from the general public and the top 5 local news outlets. These were classified into positive, negative, or neutral via sentiment analysis using VADER. Using the proportion of positive and negative tweets per day for each group, autoregressive (AR) and vector autoregressive (VAR) models were fitted to each time series variable. Presence and direction of a causal relationship between each pair of variables was determined using Granger Causality. This showed that sentiment of news tweets had a Granger causal effect on the sentiment of the general public, thereby highlighting the influence of the news that people consume towards their own sentiments.
Abstract Format
html
Language
English
Format
Electronic
Physical Description
35 leaves
Keywords
Election--Philippines; Sentiment analysis
Recommended Citation
Chen, F. G., & Gutierrez, A. Q. (2022). The relationship between public sentiment and the media on the 2022 national elections in the Philippines using granger causality. Retrieved from https://animorepository.dlsu.edu.ph/etdb_math/5
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Embargo Period
7-4-2022
