2010
DOI: 10.1093/tcbh/hwq007
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'The Digitization of Newspaper Archives: Opportunities and Challenges for Historians'

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Cited by 87 publications
(43 citation statements)
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“…P3 reports on studies of introductions of new words into the vocabulary E8. Three of the interviewees (P1, P3, P4 ) mentioned that low OCR quality is a serious obstacle, an issue that is also reflected extensively in the literature [3,6,14]. For some research tasks, the interviewees reported to have come up with workarounds.…”
Section: Interviews: Usage Of Digital Archives By Historiansmentioning
confidence: 92%
“…P3 reports on studies of introductions of new words into the vocabulary E8. Three of the interviewees (P1, P3, P4 ) mentioned that low OCR quality is a serious obstacle, an issue that is also reflected extensively in the literature [3,6,14]. For some research tasks, the interviewees reported to have come up with workarounds.…”
Section: Interviews: Usage Of Digital Archives By Historiansmentioning
confidence: 92%
“…Keyword searches also help researchers assess quickly a particular newspaper, situate content and make comparisons. 28 Researchers, including historians, recognize archives as more than collections of texts and material remains of the past. When examined closely, archives reflect assumptions about what matters most to historians, and gaps exist of what might appear unrecognizable in a particular time.…”
Section: Ethnic Newspapers and Archiving Practicesmentioning
confidence: 99%
“…There have been inspiring examples of good digital historical scholarship, like the use of N-grams to mine the Google Books archive (Michel, 2010), the engagement in creative visual analysis of historical geography, 1 or the study of the 'circulation of knowledge and learned practices' by means of a virtual research environment (VRE). 2 However, historians are still in the process of learning how to incorporate and implement data-mining technology in methodologically sound and reproducible ways (Seefeldt and Thomas, 2009;Bingham, 2010;Earheart and Jewell, 2011;Berry, 2012;Burdick et al, 2012;Van Eijnatten et al, 2013;Van Eijnatten et al, 2014). 3 Semantic text analytics is a particularly promising form of text mining that can be applied to 'big data' sets.…”
Section: Introductionmentioning
confidence: 99%