Date of Completion

2022

Document Type

Honors College Thesis

Department

Computer Science

Thesis Type

Honors College

First Advisor

Jeremiah Onaolapo

Second Advisor

Laurent Hébert-Dufresne

Keywords

Reddit, Misinformation, Coronavirus, Social Media, Sentiment Analysis

Abstract

Social media networks play a large part of our daily lives. With millions of posts and comments being processed per day, it is only natural that some of these posts present false information that could potentially harm more naïve people. Reddit, in particular, has seen a major rise in such posts and comments in past years. This paper gives an insight into how to best categorize Reddit comments as misinformation or not and determine the user’s sentiments regarding the post using sentiment analysis. Finally, the findings will be presented in a meaningful and easily accessible way in the form of an online dashboard.

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.

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