Information infrastructure of contemporary humanities and the digital humanities development as a cause of creating new information barriers. A Polish case

AbstractPurpose—To identify new information barriers created in the process related to the formation and transfer of humanistic scientific knowledge. Methodology—The reanalysis of the data collected during the earlier research projects. Results—Information barriers were identified, which are created by incomplete bibliographic databases, some solutions used in publishing on the Internet, the low level of information competencies of many humanists, their adverse attitude to open access, and by the education system that prefers knowledge transmission in the linear and text form.

Development of technological ecosystems for cultural analysis: The case of Expofinder system and art exhibitions

AbstractCultural analysts are currently faced with an ecosystem of heterogeneous, globally distributed, and mass-scale sources that cannot be ignored in the research process. In addition to that, cultural analysts need to deal with the emergence of a knowledge economy which is no longer based on the value of the information entities contained in one or more documents, but on the potential for heterogeneous data to be recombined to generate previously unknown knowledge.

Paul Robeson’s place in YouTube: A social spatial network analysis of digital heritage

AbstractThis article utilizes the African American Paul Robeson and his representation on YouTube to address three critical and underexplored arenas in heritage studies. First, Paul Robeson is an individual all but lost in the public memory of the USA, despite having been one of the USA’s most well-known celebrities. This article presents, for the first time, a global analysis of his representation and presence through the medium of YouTube.

Literary intelligence analysis of novel protagonists’ personality traits and development

AbstractDigital technology is drawing more and more research attention in many areas of humanities because of its advantages in objectivity and automation. This work was an attempt to analyze two protagonists’ personality traits and development, through their dialogues in a Chinese novel Ordinary World. We used language technology LTP, a Simplified Chinese segmentation software, to segment dialogues. Then, on the basis of eighty-eight LIWC (Linguistic Inquiry and Word Count) features, personality predictive models were recruited to calculate the Big Five personality.

Methodological Nearness and the Question of Computational Literature

By drawing connections between literary studies and human-computer interaction,
new methods which focus on the analysis of the experience of multiple readers as
they encounter works of electronic literature establish opportunities for future
research into the contextual, embodied, and computational nature of literature
today.

Predicting the Past

The paper discusses the background of predictive analytics, its use for
predicting the past and finally presents a case study in predicting past gender
relations in a historical dataset.

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