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University of Illinois at Urbana-Champaign

Uncertainty in Internet-Based Cancer News

Abstract

dc:description

Uncertainty has been defined and studied in many ways; however, no universal message-level coding scheme for dimensions of uncertainty has been developed. A content analysis of 1,120 Internet-based cancer news articles was completed, in which a presence/absence scale for five theoretically derived dimensions of uncertainty (i.e., too much information, too little information, ambiguous information, complex information, and conflicting information) was developed and reliably employed. A stratified random sample of cancer news articles was retrieved from CNN.com, MSNBC.com, Google News, and Yahoo! News. Using these four websites allowed for the examination of differences between news retrieval tools because Google News and Yahoo! News represented a new approach to news dissemination called news aggregation. The final stratified sample contained stories from 28 different days, with 10 stories sampled four times daily at 6 a.m., 12 p.m., 6 p.m., and 12 a.m. Findings indicated that nearly 2/3 of Internet-based cancer news articles contained one of the five dimensions of uncertainty. Significant differences between news aggregation and non-aggregation websites were present. For example, significant differences between individual websites were found regarding the presence of uncertain cancer information. Non-aggregation news programs retrieved articles that mentioned one of the five forms of uncertainty more frequently than did news aggregation websites. Implications for uncertainty management theory and media-system dependency theory, limitations, and potential directions for future research are discussed in light of these findings.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Speech Communication
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Hurley, Ryan James
Contributors dc:contributor
  • David Tewksbury

Subjects

dc:subject × 1

Rights

Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
(MiAaPQ)AAI3362924
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/87545

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Hurley, Ryan James. Uncertainty in Internet-Based Cancer News. Dissertation thesis, University of Illinois at Urbana-Champaign, 2015. http://hdl.handle.net/2142/87545