Twitter has been widely adopted into journalistic workflows, as it provides instant and widespread access to a plethora of content about breaking news events, while also serving to disseminate reporting on those events. The content on Twitter, however, poses several challenges for journalists, as it arrives unfiltered, full of noise, and at an alarming velocity. Building on the results of the first national survey of social media use in Irish newsrooms, this paper investigates the adoption of social media into journalistic workflows, journalists' attitudes towards various aspects of social media, and the content and perspectives generated by these online communities. It particularly investigates how Twitter shapes the processes of sourcing and verification in newsrooms, and assesses how notions of trust factor into the adoption of the Twitter platform and content into these processes. The paper further analyses relationships between journalist profile and adopted practices and attitudes, and seeks to understand how Twitter operates in the current journalistic landscape. While this paper draws its data from a survey of journalists in Ireland, the analysis of the relationship between trust, sourcing, and verification reveals broader patterns about journalistic values, and how these values and practices may operate in the field of journalism as a whole.
ARTICLE HISTORY
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News organisations have longstanding practices for archiving and preserving their content. The emerging practice of data journalism has led to the creation of complex new outputs, including dynamic data visualisations that rely on distributed digital infrastructures. Traditional news archiving does not yet have systems in place for preserving these outputs, which means that we risk losing this crucial part of reporting and news history. Following a systematic approach to studying the literature in this area, this paper provides a set of recommendations to address lacunae in the literature. This paper contributes to the field by (1) providing a systematic study of the literature in the fields, (2) providing a set of recommendations for the adoption of long-term preservation of dynamic data visualisations as part of the news publication workflow, and (3) identifying concrete actions that data journalists can take immediately to ensure that these visualisations are not lost.
Irish Record Linkage 1864-1913 is a multi-disciplinary project that started in 2014 aiming to create a platform for analyzing events captured in historical birth, marriage, and death records by applying semantic technologies for annotating, storing, and inferring information from the data contained in those records. This enables researchers to, among other things, investigate to what extent maternal and infant mortality rates were underreported. We report on the semantic architecture, provide motivation for the adoption of RDF and Linked Data principles, and elaborate on the ontology construction process that was influenced by both the requirements of the digital archivists and historians. Concerns of digital archivists include the preservation of the archival record and following best practices in preservation, cataloguing, and data protection. The historians in this project wish to discover certain patterns in those vital records
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