Quantifying "Pillarization": Extracting Political History from Large Databases of Digitized Media Collections
نویسندگان
چکیده
We analyzed long-term dynamic developments in newspaper content in connection with the process of pillarization (the segmentation of Dutch society and politics along religious/ideological cleavages) over the period 1918– 1967. One of the main characteristics of the historical debate on this phenomenon is an alleged close connection of political and media organizations on personnel, organizational and content-driven levels. In the political communication debate, this raises the question about the relationship between ‘politization of media’ and ‘mediatization of politics’. Our preliminary study shows how patterns in the interactive relation between politics and newspapers can be further unraveled, by analyzing data based on the digitized newspaper collection of the Royal Dutch Library and related digitized political historical sources (parliament, parties, biographical material). In particular, it shows differences between Socialist and Catholic approaches towards the pillarized culture of “the other” and themselves. Whereas the Socialist pillar mainly focused on the politics and socio-economics of both their own and other groups, we find that the Catholic pillar was more inclined towards cultural and organizational self-reference.
منابع مشابه
Multimedia Datamining in Medical Applications
Over the past decades, data mining has proved to be a successful approach for extracting hidden knowledge from huge collections of structured digital data stored in databases. From the inception, data mining was done primarily on numerical set of data. Nowadays, large multimedia data sets such as audio, speech, text, web, image, video and combination of several types are becoming increasingly a...
متن کاملA Metadata Generation System for Scanned Scientic Volumes
Large scale digitization projects have been conducted at digital libraries to preserve cultural artifacts and to provide permanent access. The increasing amount of digitized resources, including scanned books and scientific publications, requires development of tools and methods that will efficiently analyze and manage large collections of digitized resources. In this work, we tackle the proble...
متن کاملIssues in Querying Multi-media Databases
Introduction The amount of information available to users, especially in the web, is growing exponentially month by month. To nd useful information in the web, users normally have to rely on some sort of keyword matching searches, and/or navigate their way through the list of pointers to objects in diierent data repositories. This is not enough to satisfy the needs of the ever more sophisticate...
متن کاملExtractive Summarization by Aggregating Multiple Similarities
News reports, social media streams, blogs, digitized archives and books are part of a plethora of reading sources that people face every day. This raises the question of how to best generate automatic summaries. Many existing methods for extracting summaries rely on comparing the similarity of two sentences in some way. We present new ways of measuring this similarity, based on sentiment analys...
متن کاملSNPper: retrieval and analysis of human SNPs
MOTIVATION Single Nucleotide Polymorphisms (SNPs) are an increasingly important tool for the study of the human genome. SNPs can be used as markers to create high-density genetic maps, as causal candidates for diseases, or to reconstruct the history of our genome. SNP-based studies rely on the availability of large numbers of validated, high-frequency SNPs whose position on the chromosomes is k...
متن کامل