Abstract: Emojis have been called a “new type of language.” According to statistics cited by Ad Week, as much as 92% of the online population uses emojis. Twitter reports that since 2014 alone, over 110 billion emojis have been tweeted. Yet, despite the profusion of emojis in digital life, little research has been done that leverages emojis to understand popular sentiment. We believe that emoji data science, a largely unexplored field, might be a powerful new methodology for both the computational social sciences as well as fast data journalism. We’ll share preliminary research based on an analysis of millions of tweets that explores the relevance of emoji analytics to fields ranging from pop culture (i.e. the Kanye West vs. Taylor Swift dispute), to politics (the US presidential elections as well as Brexit), to gender norms, to the Olympics, and more. We’ll also introduce concepts including emoji valence, hashtag-emoji co-occurrence, and sentiment analysis that combine the fields of computational linguistics and natural language processing to provide building blocks for understanding what emojis mean and what they reveal about our culture.
Bio: Hamdan Azhar is a data scientist, journalist, and the founder of PRISMOJI. He is currently the chief scientist at Zap, a blockchain startup and marketplace for oraclized data feeds. He previously worked in ads research at Facebook where he designed experiments to measure the effectiveness of Facebook ads. Hamdan’s writings on politics, culture, and technology have appeared in VICE, the Washington Post, and the Christian Science Monitor.
Chief Data Scientist at Zap