Spreading the News: How Can Journalists Gain More Engagement for their Tweets
|Title:||Spreading the News: How Can Journalists Gain More Engagement for their Tweets||Authors:||Orellana-Rodriguez, Claudia
Keane, Mark T.
|Permanent link:||http://hdl.handle.net/10197/8427||Date:||25-May-2016||Abstract:||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.||Funding Details:||Science Foundation Ireland||Type of material:||Conference Publication||Publisher:||ACM||Copyright (published version):||2016 ACM||Keywords:||Machine learning; Statistics; Computational journalism; Social media; Audience engagement; News events||DOI:||10.1145/2908131.2908154||Language:||en||Status of Item:||Peer reviewed||Is part of:||Nejdl, W., Hall, W., Parigi, P. and Staab, S. (eds.). WebSci '16: Proceedings of the 8th ACM Conference on Web Science||Conference Details:||ACM Web Science 2016 (WebSci ’16), Hannover, Germany, 22-25 May 2016|
|Appears in Collections:||Insight Research Collection|
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