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News you can use! Evaluating the effectiveness of newsjacking based content on social media

Angell, Robert, Gorton, Matthew, Bottomley, Paul, Marder, Ben, Bhaskar, Shikhar and White, John 2019. News you can use! Evaluating the effectiveness of newsjacking based content on social media. Information Technology & People 10.1108/ITP-04-2019-0177

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Abstract

Newsjacking (real-time deployment of news stories in communications) is now ubiquitous for brands using social media. Despite its pervasiveness, little analysis of its effectiveness exists. The purpose of this paper is to test if newsjacking positively influences various consumer responses (attitude toward content, brand attitude and purchase intent). Taking an audience perspective supported by the elaboration likelihood model, the research also establishes if a higher level of news involvement, as well as an ability to recognize the story behind the content, enhances the effectiveness of newsjacking content. An experimental design using taglines (newsjacking vs non-topical content) from a real BMW campaign was tested on a sample of 252 consumers. Three research questions pertaining to the effectiveness of newsjacking were specified and analyzed within a structural equation modeling framework.The findings support the conclusion that newsjacking is an effective communication tool. More favorable consumer responses were elicited in the newsjacking condition, as compared to content deploying a non-topical tagline. In addition, recipients reporting a higher level of news involvement rated the content more favorably in the newsjacking (vs the non-topical) condition. Deploying news stories that are more recognizable increases the chances of successful newsjacking. Messages received by those with higher product involvement (category level: cars) were more effective regardless of the type of the appeal.

Item Type: Article
Date Type: Published Online
Status: In Press
Schools: Business (Including Economics)
Publisher: Emerald
ISSN: 0959-3845
Date of First Compliant Deposit: 21 November 2019
Date of Acceptance: 30 August 2019
Last Modified: 10 Mar 2020 15:45
URI: http://orca.cf.ac.uk/id/eprint/127038

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