Exploring Cultural Differences of Public Perception of Artificial Intelligence via Big Data Approach

Abstract

Our research attempts to investigate cultural differences of public perception of artificial intelligence. To this end, we use “artificial intelligence” and as keywords for collecting 67,293 English and 55,768 Korean tweets from Twitter, respectively. Then, we conduct sentiment analysis on the data for extracting hedonic, utilitarian, and risky dimensions. The outcomes of T-test indicate that there are remarkable differences of public perception in hedonic, utilitarian, and risky dimensions between English and Korean groups. According to the results, we also provide some theoretical and practical implications.