挖掘在线信息圈:一项调查

IF 6.4 2区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery Pub Date : 2021-01-02 DOI:10.1002/widm.1453

Sayantan Adak, Souvic Chakraborty, Paramtia Das, Mithun Das, A. Dash, Rima Hazra, Binny Mathew, Punyajoy Saha, Soumya Sarkar, Animesh Mukherjee

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引用次数: 1

摘要

基于人工智能(AI)的系统和应用的发展已经渗透到日常生活中，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圈)的惊人增长，监测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的解决方案。该调查还概述了一些重要的未来方向。我们首先关注信息圈中出现的协作系统，并特别关注维基百科。在后续文章中，我们展示了信息空间如何在科学引用和合作的增长中发挥了重要作用，从而推动了跨学科研究。最后，我们阐述了与信息圈治理相关的问题，例如解决(a)不断上升的仇恨和虐待行为，以及(b)不同在线平台和新闻报道中的偏见和歧视。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Mining the online infosphere: A survey

查看原文本刊更多论文

Mining the online infosphere: A survey

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.

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来源期刊

Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, THEORY & METHODS

CiteScore

22.70

自引率

2.60%

发文量

审稿时长

>12 weeks

期刊介绍： The goals of Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery (WIREs DMKD） are multifaceted. Firstly, the journal aims to provide a comprehensive overview of the current state of data mining and knowledge discovery by featuring ongoing reviews authored by leading researchers. Secondly, it seeks to highlight the interdisciplinary nature of the field by presenting articles from diverse perspectives, covering various application areas such as technology, business, healthcare, education, government, society, and culture. Thirdly, WIREs DMKD endeavors to keep pace with the rapid advancements in data mining and knowledge discovery through regular content updates. Lastly, the journal strives to promote active engagement in the field by presenting its accomplishments and challenges in an accessible manner to a broad audience. The content of WIREs DMKD is intended to benefit upper-level undergraduate and postgraduate students, teaching and research professors in academic programs, as well as scientists and research managers in industry.