Repository logo
 

News now: exploratory study of digital news story organization and structure

Simple item page
dc.contributor.authorLarez, Joanna E., author
dc.contributor.authorZimmerman, Donald, advisor
dc.contributor.authorSwitzer, Jamie, committee member
dc.contributor.authorPaschal, Dawn, committee member
dc.date.accessioned2017-06-09T15:40:58Z
dc.date.available2017-06-09T15:40:58Z
dc.date.issued2017
dc.description.abstractNewspaper publication has expanded beyond the printed format to digital formats to attract readers using iPhone apps, Facebook, Twitter and other outlets. Some apps will open the full story and others link to the full story on the newspaper's website. My exploratory research sought to explore different digital platforms by investigating Washington Post headlines written for the iPhone Application, Facebook, and Twitter. While these platforms limit the information available before linking to the full story on the website, each digital platform provided enough information to identify organizational patterns and sequences of who, what, where, why and how — the key concepts in the journalistic inverted pyramid writing organization. My research investigated the Washington Post's digital headlines in the summer of 2012. The research questions were RQ1: Which questions are answered most frequently in news story headlines on the iPhone app, Facebook newsfeed, and Twitter tweets? RQ2: What are the question sequences presented in the headlines on the iPhone app, Facebook newsfeed, and Twitter tweets? RQ2A: Is there a difference in organization of questions sequences in the headlines of story topics present in one of each of the following platforms: iPhone app, Facebook newsfeed, and Twitter tweets? For my content analysis of the Washington Post digital headlines, I created a sample of a constructed week and took screenshots of headlines. For analysis, I coded all stories (n = 216) published on at least one other platform. I developed a codebook, and one additional coder and I coded every headline in the sample. Despite some variables receiving lower Krippendorff Alpha results than suggested for publication for intercoder reliability (ranging from 0.33 to 0.83), most variables achieved acceptable percent agreements from 84.7% to 95.8%. Because of the exploratory nature of my study, I proceeded with data analysis. Patterns emerged related to information sequences in headlines. "Who" and "what" were used in 77% (n = 22) as leading information in the headline sequences. "Where" was the only other variable included at the beginning of sequences. While 22 different organizational sequences emerged, 50% were used only once. Research Question 2A investigated organization of question sequences. The variable "what," a main action, was included in 100% (n = 27) of the headlines in a portion of the sample using a single headline for each platform about one story. The sequence (who, what) was included in 22% (n = 9) across all three platforms. Other story topics provided additional variables on different platforms.
dc.format.mediumborn digital
dc.format.mediummasters theses
dc.identifierLarez_colostate_0053N_14028.pdf
dc.identifier.urihttp://hdl.handle.net/10217/181314
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2000-2019
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.titleNews now: exploratory study of digital news story organization and structure
dc.typeText
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplineJournalism and Media Communication
thesis.degree.grantorColorado State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science (M.S.)

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Larez_colostate_0053N_14028.pdf
Size:
2.36 MB
Format:
Adobe Portable Document Format
Download

Collections

2000-2019
Theses and Dissertations