| dc.description.abstract | The purpose of this study is to gain insights from the open data of the Facebook fan’s page and through the insights of the data as a reference for future professional operators to formulate guidelines of page management. This study is based on the Facebook fan page of the console industry, which focuses on the top three brands of the game console industry: Xbox, Sony PlayStation, and Nintendo. A Python program was coded to crawl the comments and posts on their fan page during 2015-2017. The first section, “page management,＂ is based on page operators’ perspectives. By comparing key features including times of posts and the evolving directions, the study analyzes from three different views, which are of Nintendo, Xbox, and PlayStation’ s page managers. The second section, “fan interaction”, is based on the fans′ perspectives, finding out at what time they post boosts engagement and how they do to interact with the page operator. The last section, “post content”, uses the text mining method and creates a list of keywords which shows the link between them and the three brands’ notions, also analyzing the messages and content conveyed to the audience. The study helps fan page operators analyze the data objectively from a variety of perspectives, allowing them to spot the differences between themselves and their rivals. In addition, to gain more audience, the research assists the operators in planning a management strategy, including choosing the right content to release and picking the right time to post. | en_US |