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Spreading the News: How Can Journalists Gain More Engagement for their Tweets

Publication Type: 
Refereed Conference Meeting Proceeding
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 todevelopinnovativestrategiesaroundthesechannels,tomaximize audienceengagementwiththenewstheyprovide. Inthispaper,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 engagementdifferentiallyfromonenewscategorytothenext(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.
Conference Name: 
8th International ACM Web Science Conference 2016, At Hannover, Germany
Digital Object Identifer (DOI): 
Publication Date: 
Conference Location: 
National University of Ireland, Dublin (UCD)
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