Web Science@10宣言
A Manifesto for Web Science @ 10
摘要：
27年前，人类历史上最大的社会变革之一慢慢开始，当时蒂姆·伯纳斯-李（Tim Berners-Lee）定义了万维网的技术基础。从那时起，网络就呈指数级增长，远远超出了其最初的技术基础，并深刻影响着当今世界，甚至影响着未来的社会。我们已经看到，网络可以影响人权的实现，甚至影响对幸福的追求。网络提供了一个基础设施，帮助我们学习，工作，与亲人沟通，并提供娱乐。然而，这也造成了一种环境，受到有机会和没有机会获得信息的人之间的数字鸿沟的影响。此外，如果我们要在数据所有权和隐私保护之间、在过度监控和防止恐怖主义之间找到可行的平衡，网络提供了我们必须理解的挑战。为了使网络取得成功，我们需要了解其社会挑战，包括犯罪率上升、社交平台的影响和社会经济歧视，我们必须努力实现公平、社会包容和开放治理。十年前，Web科学领域的创建是为了从社会技术的角度探索Web背后的科学，包括其数学特性，工程原理和社会影响。十年后，随着跨学科的努力来理解网络的全球信息空间继续增长，我们学到了很多东西。在这篇文章中，我们想引出我们从Web Science中学到的主要经验教训，并对下一步的预期做出一些谨慎的预测。
英文摘要：
Twenty-seven years ago, one of the biggest societal changes in human history began slowly when the technical foundations for the World Wide Web were defined by Tim Berners-Lee. Ever since, the Web has grown exponentially, reaching far beyond its original technical foundations and deeply affecting the world today - and even more so the society of the future. We have seen that the Web can influence the realization of human rights and even the pursuit of happiness. The Web provides an infrastructure to help us to learn, to work, to communicate with loved ones, and to provide entertainment. However, it also creates an environment affected by the digital divide between those who have and those who do not have access. Additionally, the Web provides challenges we must understand if we are to find a viable balance between data ownership and privacy protection, between over-whelming surveillance and the prevention of terrorism. For the Web to succeed, we need to understand its societal challenges including increased crime, the impact of social platforms and socio-economic discrimination, and we must work towards fairness, social inclusion, and open governance. Ten Yars ago, the field of Web Science was created to explore the science underlying the Web from a socio-technical perspective including its mathematical properties, engineering principles, and social impacts. Ten years later, we are learning much as the interdisciplinary endeavor to understand the Web's global information space continues to grow. In this article we want to elicit the major lessons we have learned through Web Science and make some cautious predictions of what to expect next.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
