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Feasibility Of Twitter Sentiment Analysis In Predicting Crime In The Uae, Rashed Khalifa Alsubousi
Feasibility Of Twitter Sentiment Analysis In Predicting Crime In The Uae, Rashed Khalifa Alsubousi
Theses
In this study, we demonstrate how the information provided by individuals on social media can represent some aspects of their behavior to predict criminal activities and intentions in societies. The problem discussed in this study is finding a model that can analyze social media posts to infer the intentions and feelings of the publisher behind those posts to predict the probability of committing a crime. This is a preventive technique that can be used to monitor individuals or organizations who have a behavioral pattern that can be inferred as criminal intent. To help detect and predict criminal activities, we observe …
Social Media Influencer Motivation: Exploring What Drives Micro-Celebrities To Produce Content Using Social Exchange Theory, Jennie Giardino
Social Media Influencer Motivation: Exploring What Drives Micro-Celebrities To Produce Content Using Social Exchange Theory, Jennie Giardino
Theses
Social media influencers are online celebrities who have the power to shape the opinions of audience members due to their relatable qualities. Influencer sponsorships have changed the nature of social media platforms and the strategy by which the content is posted. But besides the potential to be sponsored, why do influencers post content? The purpose of this study was to understand what motivates influencers to post content through the lens of social exchange theory by identifying resources exchanged between the social media influencer and the audience and explain how this affects their motivation to post content. I interviewed 15 lifestyle …
An Empirical Study Of Offensive Language In Online Interactions, Diptanu Sarkar
An Empirical Study Of Offensive Language In Online Interactions, Diptanu Sarkar
Theses
In the past decade, usage of social media platforms has increased significantly. People use these platforms to connect with friends and family, share information, news and opinions. Platforms such as Facebook, Twitter are often used to propagate offensive and hateful content online. The open nature and anonymity of the internet fuels aggressive and inflamed conversations. The companies and federal institutions are striving to make social media cleaner, welcoming and unbiased. In this study, we first explore the underlying topics in popular offensive language datasets using statistical and neural topic modeling. The current state-of-the-art models for aggression detection only present a …