Web of lies? Historical knowledge on the Internet. Angela, D., Cohen, D., Toselli, A. H., Vidal, E., Romero, V., Frinken, V., Frackenpohl, G., Frauenknecht, H., Wegera, K., He, P., Ling, N., Lü, X., Zhang, H., Wang, C., Wang, R., Wei, C., Yao, J., Wang, X., Han, X., Nan, Z., Costa, O. Y. A., Raaijmakers, J. M., Kuramae, E. E., & Fisher, M. First Monday, December, 2005. 🏷️ /unread
Web of lies? Historical knowledge on the Internet [link]Paper  doi  abstract   bibtex   
Scholars in history (as well as other fields in the humanities) have generally taken a dim view of the state of knowledge on the Web, pointing to the many inaccuracies on Web pages written by amateurs. A new software agent called H-Bot scans the Web for historical facts, and shows how the Web may indeed include many such inaccuracies—while at the same time being extremely accurate when assessed as a whole through statistical means that are alien to the discipline of history. These mathematical methods and other algorithms drawn from the computational sciences also suggest new techniques for historical research and new approaches to teaching history in an age in which an increasingly significant portion of the past has been digitized. 【摘要翻译】历史(以及人文学科的其他领域)学者通常对网络上的知识状况持否定态度,指出业余爱好者撰写的网页存在许多不准确之处。一个名为H-Bot的新软件代理对网络上的史实进行了扫描,并展示了网络上可能确实存在许多这样的不准确之处–但同时,通过与历史学科格格不入的统计方法进行整体评估,网络上的史实又是极其准确的。这些来自计算科学的数学方法和其他算法还为历史研究提出了新技术,并为历史教学提出了新方法,因为在这个时代,越来越多的历史资料已经数字化。
@article{angela2005,
	title = {Web of lies? {Historical} knowledge on the {Internet}},
	volume = {10},
	copyright = {Copyright (c)},
	issn = {1396-0466},
	shorttitle = {谎言之网?互联网上的历史知识},
	url = {https://linkinghub.elsevier.com/retrieve/pii/S0929139323000793},
	doi = {10.5210/fm.v10i12.1299},
	abstract = {Scholars in history (as well as other fields in the humanities) have generally taken a dim view of the state of knowledge on the Web, pointing to the many inaccuracies on Web pages written by amateurs. A new software agent called H-Bot scans the Web for historical facts, and shows how the Web may indeed include many such inaccuracies—while at the same time being extremely accurate when assessed as a whole through statistical means that are alien to the discipline of history. These mathematical methods and other algorithms drawn from the computational sciences also suggest new techniques for historical research and new approaches to teaching history in an age in which an increasingly significant portion of the past has been digitized.

【摘要翻译】历史(以及人文学科的其他领域)学者通常对网络上的知识状况持否定态度,指出业余爱好者撰写的网页存在许多不准确之处。一个名为H-Bot的新软件代理对网络上的史实进行了扫描,并展示了网络上可能确实存在许多这样的不准确之处--但同时,通过与历史学科格格不入的统计方法进行整体评估,网络上的史实又是极其准确的。这些来自计算科学的数学方法和其他算法还为历史研究提出了新技术,并为历史教学提出了新方法,因为在这个时代,越来越多的历史资料已经数字化。},
	language = {en},
	number = {12},
	urldate = {2020-01-02},
	journal = {First Monday},
	author = {Angela, Dressen and Cohen, Daniel and Toselli, Alejandro Héctor and Vidal, Enrique and Romero, Verónica and Frinken, Volkmar and Frackenpohl, Gert and Frauenknecht, Harald and Wegera, Klaus-Peter and He, Peng and Ling, Ning and Lü, Xiao-Tao and Zhang, Hai-Yang and Wang, Chao and Wang, Ru-Zhen and Wei, Cun-Zheng and Yao, Jing and Wang, Xiao-Bo and Han, Xing-Guo and Nan, Zhibiao and Costa, Ohana Y. A. and Raaijmakers, Jos M. and Kuramae, Eiko E. and Fisher, Matthew},
	month = dec,
	year = {2005},
	note = {🏷️ /unread},
	keywords = {/unread},
}

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