Data mining to discover trends on social media

YouTube等社交媒体平台上的内容通常是用户生成的，现在是信息消费和分享的主要形式。数以百万计的用户生成内容的能力导致信息过剩，这需要使用新的方法来搜索和过滤这些平台上可用的内容。另一方面，一些内容变得非常受欢迎，拥有大量受众，而大多数内容几乎没有受到关注。 通过这项研究，我们想要开始回答的核心问题可以表述为：“是什么让某些社交媒体内容如此受欢迎？”与这个主要问题相关的还有其他几个问题： --哪些因素会影响社交媒体对象随时间的演变？ --创建和提供对象所处的社会环境有何影响？社会语境包括作者、作者所在的社会社区和内容本身的性质。 --是否有影响对象受欢迎程度的特定干预措施--包括元数据修改(如果可能)？ 通过回答这些问题，我们希望确定选择可能变得流行的对象的指导方针，以及可以采取的行动，以提高对象的受欢迎程度。这些观察结果可以指导内容创作者以及我们的合作伙伴组织BBTV等组织营销社交媒体内容。

Content on social media platforms such as YouTube is often user-generated and is now the predominant form of information consumption and sharing. The ability of many millions of users to generate content leads to information glut that requires new methods for searching and filtering content that is available on these platforms. On the other hand, some content becomes extremely popular and have a large audience and a majority of the content receives little attention. The central question that we would like to begin answering through this study can be stated as follows: "What makes certain social media content dramatically popular?" Related to this major question are a few other questions: -- What factors affect the evolution of a social media object with time? -- What is the impact of the social context within which an object is created and made available? The social context includes the author, the author's social neighborhood, and the nature of the content itself. -- Are there specific interventions - including metadata modifications (when possible) - that affect object popularity? By answering these questions, we hope to identify guidelines for selecting objects that are likely to become popular as well as actions that can be taken to improve the popularity of objects. These observations can guide content creators as well as groups such as our partner organization, BBTV, in marketing social media content.