2018
DOI: 10.2196/ijmr.9065
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Representation of Tinnitus in the US Newspaper Media and in Facebook Pages: Cross-Sectional Analysis of Secondary Data

Abstract: BackgroundWhen people with health conditions begin to manage their health issues, one important issue that emerges is the question as to what exactly do they do with the information that they have obtained through various sources (eg, news media, social media, health professionals, friends, and family). The information they gather helps form their opinions and, to some degree, influences their attitudes toward managing their condition.ObjectiveThis study aimed to understand how tinnitus is represented in the U… Show more

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Cited by 30 publications
(37 citation statements)
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References 21 publications
(28 reference statements)
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“…On the other hand, previous studies on newspaper media and hearing loss show either positive or negative portrayals of hearing loss (e.g., Kensicki, 2001;Koerber et al, 2017). Nevertheless, the current study results are also similar (i.e., showing various themes of discussion, identifying change in patterns over time) to our recent study on representation of tinnitus in the U.S. newspaper media (Manchaiah et al, 2018).…”
Section: Example Of a Text Segmentsupporting
confidence: 76%
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“…On the other hand, previous studies on newspaper media and hearing loss show either positive or negative portrayals of hearing loss (e.g., Kensicki, 2001;Koerber et al, 2017). Nevertheless, the current study results are also similar (i.e., showing various themes of discussion, identifying change in patterns over time) to our recent study on representation of tinnitus in the U.S. newspaper media (Manchaiah et al, 2018).…”
Section: Example Of a Text Segmentsupporting
confidence: 76%
“…These steps are necessary in order to convert the whole corpus to easily manageable data sets for further analysis. A more detailed description about this process has been presented in our recent publication (Manchaiah et al, 2018).…”
Section: Discussionmentioning
confidence: 99%
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“…The same text corpus was subjected to a time series analysis (i.e., how cluster patterns change over time) to see which cluster was significantly more likely to be appearing in each year (see Figure 2). A detailed description of this cluster analysis method has been presented in a previous manuscript (Manchaiah, Ratinaud, & Andersson, 2018). In addition, chi-square analysis was performed to examine the relationship between clusters and factors, such as the Amazon customer rating and the cost of the device (see Figures 3 and 4).…”
Section: Discussionmentioning
confidence: 99%