Poor attention: The wealth and regional gaps in event attention and coverage on Wikipedia

Author:

Ruprechter ThorstenORCID,Burghardt Keith,Helic DenisORCID

Abstract

Wikipedia is an important source of general knowledge covering a wide range of topics. Moreover, for many people around the world, it also serves as an essential news source for major events such as elections or disasters. Although Wikipedia covers many such events, some events are underrepresented and lack attention, despite their newsworthiness predicted from news value theory. In this paper, we analyze 17 490 event articles in four Wikipedia language editions and examine how the economic status and geographic region of the event location affects the attention and coverage it receives. We find that major Wikipedia language editions have a skewed focus, with more attention given to events in the world’s more economically developed countries and less attention to events in less affluent regions. However, other factors, such as the number of deaths in a disaster, are also associated with the attention an event receives. Overall, this work provides a nuanced understanding of attention and coverage on Wikipedia through event articles and adds new empirical analysis to news value theory.

Funder

Defense Advanced Research Projects Agency

Army Research Office

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference63 articles.

1. Why the world reads Wikipedia: Beyond English speakers;F Lemmerich;WSDM’19,2019

2. Kumar S, West R, Leskovec J. Disinformation on the web: Impact, characteristics, and detection of wikipedia hoaxes. In: WWW’16; 2016. p. 591–602.

3. Collective intelligence and neutral point of view: the case of Wikipedia;S Greenstein;National Bureau of Economic Research,2012

4. Aragón P, Sáez-Trumper D. A preliminary approach to knowledge integrity risk assessment in Wikipedia projects; 2021. Available from: https://arxiv.org/abs/2106.15940.

5. Redi M, Gerlach M, Johnson I, Morgan J, Zia L. A taxonomy of knowledge gaps for wikimedia projects. arXiv preprint arXiv:200812314. 2020;.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3