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www.scholink.org/ojs/index.php/asir Applied Science and Innovative Research Vol. 3, No. 1, 2019 and is loved by the public. The operation of TikTok has been trying to strongly guide the content production behavior of users. In the 1970s, American scholar of communication McCombs and Donald Shaw’s agenda setting theory: there is a highly corresponding relationship between the public’s understanding and judgment of important issues in social public affairs and the reporting activities of the media. That is to say, the “big things” reported by the media are also reflected in the public’s consciousness as “big things”. The challenges and hot topics of TikTok reflect the guiding role of agenda setting theory. Challenges and topics motivate netizens to create content and engage in interaction. It is easy to get millions and billions of users’ attention. It can guide users to content production and implement boot functions. Under the guidance of specific topics, whether it is watching or participating in it, the user is concerned with similar content, providing the user with the focus of triggering common interests or actions. Therefore, there is interaction between the TikTok users. The mutual attention and interaction of users further stimulates the sharing experience of each other’s emotions. TikTok often combines the topic of online hotspots to create shared themes such as finger dance and seaweed dance. This encourages users to create and upload audio and video. Hot topics can attract hundreds of millions of people to pay attention. 5. Recommended Algorithm Technology Boosts Personalized Service McGuire, an English scholar, argues that audience behavior is largely explained by individual needs and interests. The Uses and Gratifications theory suggests that audiences are individuals with special “demands” whose media contact behavior is based on specific motivations “using” the medium, so that their specific needs are “satisfied”. The audience will actively choose content with the same interest or value, and accept it selectively. The application of big data technology enables the media to better analyze and grasp the different “needs” of the audience, and provide corresponding services according to their “needs”. Therefore, it can optimizes the user experience. The intelligent analysis of TikTok big data technology is supported by Toutiao’s powerful data mining capabilities. The system depicts media usage based on user likes, sharing, duration, gender, age, location, etc. So it can relatively accurately analyze the user’s income, consumption preferences, potential needs and other refined data. TikTok’s core technologies are text mining, machine data mining, personalized recommendation engines, and more. This enables deep mining of data storage and retrieval, sensitive information monitoring, user behavior analysis, and report analysis. The platform then provides each user with products and services that truly meet their needs. In content distribution, TikTok has a rigorous algorithm for distributing video content that matches its interests and preferences. In addition to intelligent algorithms, TikTok has a rigorous manual review of content distribution. Thousands of people collate with the algorithm to review and recommend content. Manual audits compensate for the mistakes in machine algorithms. The platform can accurately describe the characteristics, behaviors, and needs of users. The information and content that the Published by SCHOLINK INC. 34PDF Image | Research on TikTok APP Based on User-Centric Theory
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