WikiShark: An Online Tool for Analyzing Wikipedia Traffic and Trends

Elad Vardi, Lev Muchnik, Alex Conway, Micha Breakstone
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引用次数: 3

Abstract

Wikipedia is a major source of information utilized by internet users around the globe for fact-checking and access to general, encyclopedic information. For researchers, it offers an unprecedented opportunity to measure how societies respond to events and how our collective perception of the world evolves over time and in response to events. Wikipedia use and the reading patterns of its users reflect our collective interests and the way they are expressed in our search for information – whether as part of fleeting, zeitgeist-fed trends or long-term – on most every topic, from personal to business, through political, health-related, academic and scientific. In a very real sense, events are defined by how we interpret them and how they affect our perception of the context in which they occurred, rendering Wikipedia invaluable for understanding events and their context. This paper introduces WikiShark (www.wikishark.com) – an online tool that allows researchers to analyze Wikipedia traffic and trends quickly and effectively, by (1) instantly querying pageview traffic data; (2) comparing traffic across articles; (3) surfacing and analyzing trending topics; and (4) easily leveraging findings for use in their own research.
WikiShark:一个分析维基百科流量和趋势的在线工具
维基百科是全球互联网用户使用的主要信息来源,用于事实核查和获取一般的百科全书式信息。对于研究人员来说,它提供了一个前所未有的机会来衡量社会如何应对事件,以及我们对世界的集体感知如何随着时间的推移和对事件的反应而演变。维基百科的使用及其用户的阅读模式反映了我们的集体兴趣,以及我们在搜索信息时表达这些兴趣的方式——无论是短暂的、时代精神推动的趋势还是长期的——从个人到商业,从政治、健康、学术到科学,几乎涵盖了所有主题。在一个非常真实的意义上,事件是由我们如何解释它们以及它们如何影响我们对它们发生的背景的感知来定义的,这使得维基百科对于理解事件及其背景非常宝贵。本文介绍了WikiShark (www.wikishark.com)——一个允许研究人员快速有效地分析维基百科流量和趋势的在线工具,通过(1)即时查询页面浏览量数据;(2)跨文章流量比较;(3)挖掘和分析热门话题;(4)很容易将研究结果用于自己的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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