Influence of tweet features on emoticon usage
Abstract
Twitter, a social media created 13 years ago is a platform which provides users to express their views regarding numerous issues. Reportedly, Twitter currently has 321 million users from all around the world and produces about 200 million tweets in a day. There is a large collection of data available that enables performance of analysis to solve the real-world issues. The usage of emoticons is rapidly growing as they provide higher impressibility and feasibility. In late 90's, emoticons were simple representations, like {":)" ":( "":|" ":*" } etc. After Unicode consortium standardization, all the leading social media and mobile developers came up with improved versions of emoticons. This research involves analyzing the emoticon usage patterns in topics to identify the influence of multiple features such as age and location on the utilization of emoticons. Correlation of tweets and emoticon count is evaluated.
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- OSU Theses [15752]