Date of Award
2023
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Computer Science
First Advisor
Chris Danforth
Second Advisor
Peter S. Dodds
Abstract
Culture is a fundamental force shaping our view of the world. Filtered through the stories we share on social media, our collective behavior both reflects and amplifies cultural impacts. The present study seeks to describe the effect of cultural factors, such as religion, on happiness scores in Arabic language tweets from January 2010 to June 2023. Our methodology involves using present tools called Hedonometer (https://hedonometer.org/) to study happy and sad events and StoryWrangler (https://storywrangling.org/) to study the usage of keywords related to those events. Our findings reveal a notable pattern of Twitter happiness declining following the start of the Arab Spring in 2010, and this decline persisted until around 2013. This pattern reflects the long-lasting impact of significant Arab Spring events on the overall happiness score on Twitter. Arabic culture seems to be heavily influenced by religion, with religion often being the driving force behind happy events, while acts of violence and conflict related to political and religious injustice are associated with sad events.
Language
en
Number of Pages
45 p.
Recommended Citation
Suchdev, Parisa, "Analyzing the Impact of Cultural Factors on Happiness Levels in Arabic Language Tweets" (2023). Graduate College Dissertations and Theses. 1769.
https://scholarworks.uvm.edu/graddis/1769