Spreading News in 1904

Oiva, Mila; Nivala, Asko; Salmi, Hannu; Latva, Otto; Jalava, Marja; Keck, Jana; Domínguez, Laura Martínez; Parker, Jim

doi:10.1080/13688804.2019.1652090

Cited by 17 publications

(3 citation statements)

References 8 publications

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“…The first is bottom-up and concentrates on individual, known events and the question of whether or not they were picked up by the press and if so, how. For example, Oiva et al (2020) studied how news of the assassination of Nikolay Bobrikov, the Governor-General of Finland in 1904, traveled in waves across historical communication infrastructures. The second strategy is top-down and focuses on the types of events that successfully spread across media ecosystems.…”

Section: Tracing Historical Eventsmentioning

confidence: 99%

impresso Text Reuse at Scale. An interface for the exploration of text reuse data in semantically enriched historical newspapers

Düring,

Romanello,

Ehrmann

et al. 2023

Front. Big Data

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Text Reuse reveals meaningful reiterations of text in large corpora. Humanities researchers use text reuse to study, e.g., the posterior reception of influential texts or to reveal evolving publication practices of historical media. This research is often supported by interactive visualizations which highlight relations and differences between text segments. In this paper, we build on earlier work in this domain. We present impresso Text Reuse at Scale, the to our knowledge first interface which integrates text reuse data with other forms of semantic enrichment to enable a versatile and scalable exploration of intertextual relations in historical newspaper corpora. The Text Reuse at Scale interface was developed as part of the impresso project and combines powerful search and filter operations with close and distant reading perspectives. We integrate text reuse data with enrichments derived from topic modeling, named entity recognition and classification, language and document type detection as well as a rich set of newspaper metadata. We report on historical research objectives and common user tasks for the analysis of historical text reuse data and present the prototype interface together with the results of a user evaluation.

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Section: Tracing Historical Eventsmentioning

confidence: 99%

impresso Text Reuse at Scale. An interface for the exploration of text reuse data in semantically enriched historical newspapers

Düring,

Romanello,

Ehrmann

et al. 2023

Front. Big Data

Self Cite

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“…Texts traveling far beyond European countries have recently been explored in a large-scale international project Oceanic Exchanges: Tracing Global Information Networks in Historical Newspaper Repositories, 1840-1914, led by Ryan Cordell, which searches for the reprinting of global news streams by cross-mining newspaper databases in different countries. The project has, for example, studied how the news on the assassination of Nikolay Bobrikov, the Governor-General of Finland, on June 16, 1904, spread on a global level, drawing on newspaper repositories in Australia, Austria, Denmark, Finland, France, Germany, Mexico, Sweden, the Netherlands, and the United States (see Oiva et al 2019).…”

Section: Information Movements Based On the Reuse Of Textsmentioning

confidence: 99%

The reuse of texts in Finnish newspapers and journals, 1771–1920: A digital humanities perspective

Salmi

Paju

Rantala

et al. 2020

Historical Methods: A Journal of Quantitative and Interdiscipli

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The digital collections of newspapers have given rise to a growing interest in studying them with computational methods. This article contributes to this discussion by presenting a method for detecting text reuse in a large corpus of digitized texts. Empirically, the article is based on the corpus of newspapers and journals from the collection of the National Library of Finland. Often, digitized repositories offer only partial views of what actually was published in printed form. The Finnish collection is unique, however, since it covers all published issues up to the year 1920. This article has a twofold objective: methodologically, it explores how computational methods can be developed so that text reuse can be effectively identified; empirically, the article concentrates on how the circulation of texts developed in Finland from the late eighteenth century to the early twentieth century and what this reveals about the transformation of public discourse in Finland. According to our results, the reuse of texts was an integral part of the press throughout the studied period, which, on the other hand, was part of a wider transnational practice.

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“…The difficulty in determining the "correct" k-value is considered one the greatest weaknesses of the method. There is no one way to determine the correct number of topics, and although there are computational means to determine the optimal number (Isoaho et al 2019;Oiva et al 2019), the researcher ultimately chooses which k-value to use. The researcher determines the k-value depending on how detailed an outcome the study requires.…”

Section: Selecting the Number Of Topicsmentioning

confidence: 99%

Topic Modeling Russian History

Oiva

2020

The Palgrave Handbook of Digital Russia Studies

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Topic modeling is a highly useful method that can provide new ways to understand the past. In order to reach the full potential of the method, the researcher needs to understand the context, the specifics of the data, and how the algorithm works and know the research literature. This chapter demonstrates how topic modeling can be applied in the studies of Russian and East European history. It illustrates the choices a researcher will face and the needed steps for preparing a data set for topic modeling, and shows how the interpretation of topic modeling results works in practice. The chapter also addresses the question of the scattered nature of digitized collections of Russian history sources, and the associated challenges and opportunities in this context.

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Spreading News in 1904

Cited by 17 publications

References 8 publications

impresso Text Reuse at Scale. An interface for the exploration of text reuse data in semantically enriched historical newspapers

impresso Text Reuse at Scale. An interface for the exploration of text reuse data in semantically enriched historical newspapers

The reuse of texts in Finnish newspapers and journals, 1771–1920: A digital humanities perspective

Topic Modeling Russian History

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