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Mining the online infosphere: A survey
WIREs Data Mining and Knowledge Discovery ( IF 7.8 ) Pub Date : 2022-02-28 , DOI: 10.1002/widm.1453
Sayantan Adak 1 , Souvic Chakraborty 1 , Paramita Das 1 , Mithun Das 1 , Abhisek Dash 1 , Rima Hazra 2 , Binny Mathew 1 , Punyajoy Saha 1 , Soumya Sarkar 1 , Animesh Mukherjee 1
Affiliation  

The evolution of Artificial Intelligence (AI)-based systems and applications have pervaded everyday life to make decisions that have a 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 AI-based decisions are severely dependent. This survey aims to provide a comprehensive review of some of the most important research areas related to the infosphere, focusing on the technical challenges and potential solutions. The survey also outlines some of the important future directions. We begin by focussing 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 fuelling 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.

中文翻译:

挖掘在线信息圈:一项调查

基于人工智能 (AI) 的系统和应用程序的发展已经渗透到日常生活中,以做出对个人和社会产生重大影响的决策。随着在线数据的惊人增长,通常被称为在线信息圈,监控信息圈以确保社会利益变得至关重要,因为基于人工智能的决策严重依赖。本调查旨在全面回顾与信息领域相关的一些最重要的研究领域,重点关注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。我们首先关注信息领域中出现的协作系统,特别是维基百科。在后续工作中,我们将展示信息圈如何在科学引文和合作的增长中发挥作用,从而推动跨学科研究。最后,我们说明了与信息圈治理相关的问题,
更新日期:2022-02-28
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