Core Concept - The article introduces the concept of "Information Hive" proposed by Tencent Research Institute to counter the "Information Cocoon" phenomenon, emphasizing active user participation in a collaborative information ecosystem [1][2]. Group 1: Characteristics of Information Hive - Diverse Information Sources: Users are not limited to a single algorithmic recommendation but can access multiple information sources, enhancing critical thinking and judgment [4]. - Strong User Initiative: Users can actively explore information rather than passively scrolling through feeds, which helps in reducing cognitive limitations and promotes deeper understanding [5][6]. - Collaborative Co-Creation: Users not only consume information but also create, disseminate, and evaluate content, contributing to a dynamic information ecosystem [7][9]. Group 2: Mechanisms for Enhancing Information Flow - Ecological Interconnection: Different "hives" should have open channels for information flow, avoiding algorithmic barriers that restrict cross-node communication [10]. - Technical Measures: Implementing open APIs, cross-platform search tools, and standardized content formats to facilitate information sharing and accessibility [11][12]. - Institutional Design: Encouraging diverse content creation and establishing collaborative norms to promote knowledge sharing across different platforms and communities [13][14]. Group 3: Examples of Information Hive Products - Wikipedia: An open collaborative platform where users contribute to knowledge maintenance, emphasizing diverse sources and dynamic evolution [17]. - Quora: A question-and-answer platform that fosters multi-perspective knowledge sharing through user-generated content [18]. - Reddit: A social media platform with various communities allowing users to share and discuss diverse topics, promoting an open information ecosystem [19]. - RSS/Podcast Products: Users actively subscribe to channels of interest, ensuring a continuous flow of diverse information without heavy reliance on algorithmic recommendations [20]. - Open Access Knowledge Systems: Platforms like PubMed Central provide free access to authoritative literature, promoting knowledge equity and accelerating research dissemination [22][23].