Spreading the Good News: Analyzing Socially Shared Inspirational News Content

Qihao Ji, Arthur A. Raney, Sophie H. Janicke-Bowles, Katherine R. Dale, Mary Beth Oliver, Abigail Reed, Jonmichael Seibert, Arthur A. Raney

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Past research indicates that people often share awe-inspiring news online. However, little is known about the content of those stories. In this study, more broadly defined “inspirational” articles shared through The New York Times website over a 6-month period were analyzed, with the goals of describing the content and identifying characteristics that might predict inspirationality and measures of retransmission. The results provided a snapshot of content found within inspirational news stories; they also revealed that self-transcendent language use predicted the inspirationality of a news story, as well as how long an article appeared on a most shared list.

Original languageEnglish (US)
Pages (from-to)872-893
Number of pages22
JournalJournalism and Mass Communication Quarterly
Volume96
Issue number3
DOIs
StatePublished - Sep 1 2019

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  • Communication

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Ji, Qihao ; Raney, Arthur A. ; Janicke-Bowles, Sophie H. ; Dale, Katherine R. ; Oliver, Mary Beth ; Reed, Abigail ; Seibert, Jonmichael ; Raney, Arthur A. / Spreading the Good News : Analyzing Socially Shared Inspirational News Content. In: Journalism and Mass Communication Quarterly. 2019 ; Vol. 96, No. 3. pp. 872-893.
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Ji, Q, Raney, AA, Janicke-Bowles, SH, Dale, KR, Oliver, MB, Reed, A, Seibert, J & Raney, AA 2019, 'Spreading the Good News: Analyzing Socially Shared Inspirational News Content', Journalism and Mass Communication Quarterly, vol. 96, no. 3, pp. 872-893. https://doi.org/10.1177/1077699018813096

Spreading the Good News : Analyzing Socially Shared Inspirational News Content. / Ji, Qihao; Raney, Arthur A.; Janicke-Bowles, Sophie H.; Dale, Katherine R.; Oliver, Mary Beth; Reed, Abigail; Seibert, Jonmichael; Raney, Arthur A.

In: Journalism and Mass Communication Quarterly, Vol. 96, No. 3, 01.09.2019, p. 872-893.

Research output: Contribution to journalArticle

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