Orellana-Rodriguez, Claudia

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Orellana-Rodriguez, Claudia
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Orellana-Rodriguez, Claudia

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  • Publication
    On Supporting Digital Journalism: Case Studies in Co-Designing Journalistic Tools
    (2017-10-14)
    Ifrim, Georgiana 
    ;
    Greene, Derek 
    ;
    Keane, Mark T. 
    ;
    Orellana-Rodriguez, Claudia 
    ;
    Shi, Bichen 
    ;
    Poghosyan, Gevorg 
    Since 2013 researchers at University College Dublin in the Insight Centre for Data Analytics have been involved in a significant research programme in digital journalism, specifically targeting tools and social media guidelines to support the work of journalists. Most of this programme was undertaken in collaboration with The Irish Times. This collaboration involved identifying key problems currently faced by digital journalists, developing tools as solutions to these problems, and then iteratively co-designing these tools with feedback from journalists. This paper reports on our experiences and learnings from this research programme, with a view to informing similar efforts in the future.
      85
  • Publication
    Spreading the News: How Can Journalists Gain More Engagement for their Tweets
    (ACM, 2016-05-25)
    Orellana-Rodriguez, Claudia 
    ;
    Greene, Derek 
    ;
    Keane, Mark T. 
    News media face many serious concerns as their distribution channels are gradually being taken over by third parties (e.g., people sharing news on Twitter and Facebook, and GoogleNews acting as a news aggregator). If traditional media is to survive at all, it needs to develop innovative strategies around these channels, to maximize audience engagement with the news they provide. In this paper, we focus on the issue of developing one such strategy for spreading news on Twitter. Using a corpus of 1M tweets from 200 journalist Twitter accounts and audience responses to these tweets, we develop predictive models to identify the features of both journalists and news tweets that impact audience attention. These analyses reveal that different combinations of features influence audience engagement differentially from one news category to the next (e.g., sport versus business). From these findings, we propose a set of guidelines for journalists, designed to maximize engagement with the news they tweet. Finally, we discuss how such analyses can inform innovative dissemination strategies in digital media.
      409Scopus© Citations 10