The evolution of AI-based system and applications had pervaded everyday life to make decisions that have momentous impact on individuals and society. With the staggering growth of online data, often termed as the Online Infosphere it has become paramount to monitor the infosphere to ensure social good as the AI-based decisions are severely dependent on it. The goal of this survey is to provide a comprehensive review of some of the most important research areas related to infosphere, focusing on the technical challenges and potential solutions. The survey also outlines some of the important future directions. We begin by discussions focused on the collaborative systems that have emerged within the infosphere with a special thrust on Wikipedia. In the follow up we demonstrate how the infosphere has been instrumental in the growth of scientific citations and collaborations thus fueling interdisciplinary research. Finally, we illustrate the issues related to the governance of the infosphere such as the tackling of the (a) rising hateful and abusive behavior and (b) bias and discrimination in different online platforms and news reporting.

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挖掘在线信息领域：一项调查

基于AI的系统和应用程序的发展已渗透到日常生活中，从而做出对个人和社会产生重大影响的决策。随着在线数据（通常被称为在线信息领域）的惊人增长，监视基于AI的决策严重依赖它来监视信息领域以确保社会福利变得至关重要。这项调查的目的是对与信息领域相关的一些最重要的研究领域进行全面的综述，重点是技术挑战和潜在解决方案。该调查还概述了一些重要的未来方向。我们首先讨论信息系统中出现的协作系统，其中特别着重于Wikipedia。在后续活动中，我们演示了信息领域如何促进科学引文和合作的发展，从而推动了跨学科研究。最后，我们说明了与信息领域治理相关的问题，例如（a）不断增长的仇恨和虐待行为以及（b）不同在线平台和新闻报道中的偏见和歧视。