拒绝被大数据算法绑架，这是我的「信息筛选」原则

Core Insights - The article emphasizes that information anxiety arises not from a lack of knowledge but from an overwhelming abundance of information sources [1] - It advocates for a structured approach to information consumption, focusing on quality over quantity [1][3] Information Input System - A useful information input system should be based on personal goals and actively controlled, answering three key questions: what to follow, where the information comes from, and how to execute [3][7] - The first question helps avoid being led by trends, the second clarifies the sources of information, and the third relates to the ability to accumulate knowledge over time [3] Filtering Strategies - The first step in filtering information is selecting the right platforms, as different platforms have unique characteristics and content quality [4] - The second step involves choosing the right creators, focusing on those who provide depth, originality, and transparency in their work [10][11] - The third step is categorizing information based on its type, distinguishing between generalized and specialized information [13][14] Principles for Information Processing - The first principle is that content must be relevant to current goals, which helps in filtering out unnecessary information [18][19] - The second principle involves separating browsing and deep reading phases to maintain focus and efficiency [22][24] - The third principle is to use tools effectively without overcomplicating the process, ensuring that the focus remains on solving actual problems [25][26] Continuous Improvement - Building an information input system is an ongoing practice that requires regular updates and adjustments based on personal needs and the evolving information landscape [27]