Obesity Communication with Etiology and Disease: Automated Content Analysis of Digital News, 2010-2019 (Preprint)

2020 ◽  
Author(s):  
Angela Chang ◽  
Matthew Tingchi Liu ◽  
Wen Jia
Keyword(s):  
Content Analysis ◽  
Mainland China ◽  
Personal Attributes ◽  
Analysis Tool ◽  
Obesity Epidemic ◽  
News Stories ◽  
Journalism Studies ◽  
Automated Content Analysis ◽  
Digital News ◽  
Online Texts

BACKGROUND The fact that the number of population suffering from obesity has increased worldwide calls into question on media efforts for informing the public. This research attempts to determine the ways in which the mainstream digital news covers the etiology of obesity and diseases associated with the burden of obesity. OBJECTIVE The dual objectives of this study are to obtain an understanding of what the news says about obesity and to explore meanings in data by extending preconceived grounded theory. METHODS We propose an automatic content analysis tool, DiVoMiner. This computer-aided platform is designed to organize and filter large sets of data based on patterns of word occurrence and latent topics. Another programming language Python 3 is employed to explore connections and patterns created by the aggregated interactions. The 10 years of news text compared the development of obesity coverage and its potential impact on perception in Mainland China, Hong Kong, and Taiwan. Digital news stories covering obesity along with affliction and consequence inferences in nine newspapers were sampled. RESULTS A total of 30,968 news stories were identified with increasing attention since 2016. The highest intensity of newspaper coverage of obesity communication was found in Taiwan. Overall, a stronger focus on two shared causative attributes of obesity are on stress (n = 4,483, 33.0%) and tobacco use (n = 3143, 23.2.0%). Similar to the previous studies, the discourse between the obesity epidemic and personal afflictions is the most emphasized approach (n = 13,587, 80.0%). Additionally, the burden of obesity and cardiovascular diseases are implied the most (n = 8,477, 42.2%) despite the aggregated interaction of edge centrality shows the highest link between the use of “obesity” and “cancer”. The discussion indicated that the inclination of blaming personal attributes for health afflictions potentially limits social and governmental responsibility for addressing this issue. The strategy of various obesity communication for news gatekeepers, health communication researchers, and policy-makers are noted. CONCLUSIONS This study goes beyond traditional journalism studies by extending the framework of computational and customizable online texts. This could set a norm for researchers and practitioners who work on the data projects largely for a different and innovative attempt. However, challenges of methods should be faced, including the lack of standards of automated content measures. CLINICALTRIAL not available.

scholarly journals Framing of immigrants and refugees : a content analysis of mainstream and partisan news coverage of immigration

2017 ◽  
Author(s):  
◽  
Haley Reed
Keyword(s):  
Content Analysis ◽  
Presidential Election ◽  
News Coverage ◽  
Western Society ◽  
Analysis Tool ◽  
Immigrants And Refugees ◽  
News Stories ◽  
Quantitative Content ◽  
Muslim Immigration ◽  
Partisan News

This study examined the content that shaped people's perspective about Muslim immigration during the 2016 U.S. presidential election. A quantitative content analysis was performed to identify the primary and secondary frames in the sample of content and to identify if the members of the Islamophobia network were used as sources or mentioned in each selected story. The news articles with the highest engagement on Facebook about Muslim immigration from the first GOP debate on Aug. 5, 2015 to the inauguration of President Trump on Jan. 27, 2017 were analyzed using a content analysis tool, Buzzsumo. 50 news stories from 10 news outlets were analyzed. The news outlets consisted of mainstream, right-leaning and left-leaning partisan news outlets. Results showed that right-leaning news outlets were more likely to frame immigrants and refugees as a risk to Western society and America, while left-leaning news outlets framed immigrants and refugees in news stories regarding their human rights. The members of the Islamophobia network were not found as sources in the sample of content. Further research found the presence of the Islamophobia network in news articles that received lower Facebook engagement than articles included in this study. A call for further research between the connection of the Islamophobia network and politicians concludes this study.

Understanding Brainstorming Through Text Visualization

2013 ◽  
Author(s):  
Senthil Chandrasegaran ◽  
Lorraine Kisselburgh ◽  
Karthik Ramani
Keyword(s):  
Content Analysis ◽  
Domain Knowledge ◽  
Analysis Tool ◽  
Analysis Software ◽  
Design Processes ◽  
Text Visualization ◽  
Automated Content Analysis ◽  
Student Teams ◽  
Visualization Techniques ◽  
Toy Design

Automated content analysis software tools have significantly aided in the study of design processes in the recent past. However, they suffer from the lack of domain knowledge and insight that a human expert can provide. In this paper, we adopt the use of text visualization techniques that help in gaining insights and identifying relevant patterns from the results obtained through a content analysis software. We motivate our approach with the observation that examining overall patterns in data aids us significantly in identifying interesting and relevant details concerning specific contexts in the data. We use the proposed approach to study the effect of adopting Laseau’s “design funnel” of alternating divergent and convergent design processes among student teams in a toy design course, and compare it to student teams that follow a free brainstorming process. We demonstrate the application of lexical dispersion plots and text concordances as a means to further examine the output of a conventional content analysis tool, and use these techniques to separate patterns from anomalies. We identify cases of concept consistency across teams using the dispersion plots, and identify cases of multiple word senses through text concordances. Finally, we present insights that were obtained through these visualizations and propose contexts for further studies of the data.

scholarly journals Frames (Automated Content Analysis)

10.34778/1c ◽  
2021 ◽  
Author(s):  
Valerie Hase
Keyword(s):  
Content Analysis ◽  
Network Analysis ◽  
Topic Modeling ◽  
Semantic Networks ◽  
Newspaper Coverage ◽  
Journalism Studies ◽  
Detection Algorithms ◽  
Automated Content Analysis ◽  
Validation Of Results ◽  
Newspaper Articles

Frames describe the way issues are presented, i.e., what aspects are made salient when communicating about these issues. Field of application/theoretical foundation: The concept of frames is directly based on the theory of “Framing”. However, many studies using automated content analysis are lacking a clear theoretical definition of what constitutes a frame. As an exception, Walter and Ophir (2019) use automated content analysis to explore issue and strategy frames as defined by Cappella and Jamieson (1997). Vu and Lynn (2020) refer to Entman’s (1991) understanding of frames. The datasets referred to in the table are described in the following paragraph: Van der Meer et al. (2010) use a dataset consisting of Dutch newspaper articles (1991-2015, N = 9,443) and LDA topic modeling in combination with k-means clustering to identify frames. Walter and Ophir (2019) use three different datasets and a combination of topic modeling, network analysis and community detection algorithms to analyze frames. Their datasets consist of political newspaper articles and wire service coverage (N = 8,337), newspaper articles on foreign nations (2010-2015, N = 18,216) and health-related newspaper coverage (2009-2016, N = 5,005). Lastly, Vu and Lynn (2020) analyze newspaper coverage of the Rohingya crisis (2017-2018, N = 747) concerning frames. References/combination with other methods of data collection: While most approaches only rely on automated data collection and analyses, some also combine automated and manual coding. For example, a recent study by Vu and Lynn (2020) proposes to combine semantic networks and manual coding to identify frames.   Table 1. Measurement of “Frames” using automated content analysis. Author(s) Sample Procedure Formal validity check with manual coding as benchmark* Code Vu & Lynn (2020) Newspaper articles Semantic networks; manual coding Reported Not available van der Meer et al. (2019) Newspaper articles LDA topic modeling; k-means clustering Not reported Not available Walter & Ophir (2019) (a) U.S. newspapers and wire service articles (b) Newspaper articles (c) Newspaper articles     LDA topic modeling, network analysis; community detection algorithms Not reported https://github.com/DrorWalt/ANTMN *Please note that many of the sources listed here are tutorials on how to conducted automated analyses – and therefore not focused on the validation of results. Readers should simply read this column as an indication in terms of which sources they can refer to if they are interested in the validation of results. References Cappella, J. N., & Jamieson, K. H. (1997). Spiral of cynicism: The press and the public good. New York: Oxford University Press. Entman, R. M. 1991. Framing U.S. coverage of international news: contrasts in narratives of the KAL and Iran Air incidents. Journal of Communication, 41(4), 6-7. van der Meer, T. G. L. A., Kroon, A. C., Verhoeven, P., & Jonkman, J. (2019). Mediatization and the disproportionate attention to negative news: The case of airplane crashes. Journalism Studies, 20(6), 783–803. Walter, D., & Ophir, Y. (2019). News frame analysis: an inductive mixed-method computational approach. Communication Methods and Measures, 13(4), 248–266. Vu, H. T., & Lynn, N. (2020). When the news takes sides: Automated framing analysis of news coverage of the rohingya crisis by the elite press from three countries. Journalism Studies. Online first publication. doi:10.1080/1461670X.2020.1745665

The “monster” of Seymour Avenue: Internet crime news and Gothic reportage in the case of Ariel Castro

Semiotica ◽  
2015 ◽  
Vol 2015 (207) ◽  
Author(s):  
Michael Arntfield
Keyword(s):  
Nineteenth Century ◽  
Content Analysis ◽  
Crime Reporting ◽  
Internet Crime ◽  
American Gothic ◽  
News Stories ◽  
Internet News ◽  
Digital News ◽  
American Media ◽  
Crime News

AbstractWhile American media reportage of heinous crimes has long drawn on Gothic iconography to secure readers, the contemporary digital news market has engendered a trend in crime reporting that transparently imparts the conventions of Victorian horror, and by extension the nineteenth-century American Gothic. Employing a semiotic content analysis of Internet news stories (

scholarly journals The People’s Champions? Populist Communication as a Contextually Dependent Political Strategy

2021 ◽  
pp. 107769902199864
Author(s):  
Iskander De Bruycker ◽  
Matthijs Rooduijn
Keyword(s):  
Content Analysis ◽  
Civil Society ◽  
Political Parties ◽  
News Media ◽  
Political Strategy ◽  
Policy Issues ◽  
Eu Policy ◽  
News Stories

This article conceives of populist communication as a contextually dependent political strategy. We bridge actor- and communication-centered approaches by arguing that the context of issues conditions the extent to which parties employ populist communication. We draw from a content analysis of 2,085 news stories in eight news media outlets and Eurobarometer data connected to 41 EU policy issues and analyze statements from 85 political parties. Our findings show that populist parties are more prone to express populism on salient and polarized issues. Issues important to civil society groups, in contrast, make non-populist parties more inclined to express such communication.

scholarly journals The Inclusion of Rights of People with Disabilities and Women and Girls in Water, Sanitation, and Hygiene Policy Documents and Programs of Bangladesh and Cambodia: Content Analysis Using EquiFrame

2021 ◽  
Vol 18 (10) ◽  
pp. 5087
Author(s):  
Nathaniel Scherer ◽  
Islay Mactaggart ◽  
Chelsea Huggett ◽  
Pharozin Pheng ◽  
Mahfuj-ur Rahman ◽  
...  
Keyword(s):  
Content Analysis ◽  
People With Disabilities ◽  
Analysis Tool ◽  
Middle Income ◽  
Policy Documents ◽  
Sanitation And Hygiene ◽  
Gender Inclusion ◽  
Core Concepts ◽  
Women And Girls ◽  
And Gender

People with disabilities and as women and girls face barriers to accessing water, sanitation, and hygiene (WASH) services and facilities that fully meet their needs, especially in low- and middle-income countries. Women and girls with disabilities experience double discrimination. WASH policies should support and uphold the concepts of disability and gender inclusion, and they should also act as a guide to inform WASH programs and service delivery. Using a modified version of the EquiFrame content analysis tool, this study investigated the inclusion of 21 core concepts of human rights of people with disabilities and women and girls in 16 WASH policy documents and seven end-line program reports from Bangladesh and Cambodia. Included documents typically focused on issues of accessibility and neglected wider issues, including empowerment and support for caregivers. The rights of children and women with disabilities were scarcely focused on specifically, despite their individual needs, and there was a disconnect in the translation of certain rights from policy to practice. Qualitative research is needed with stakeholders in Bangladesh and Cambodia to investigate the inclusion and omission of core rights of people with disabilities, and women and girls, as well as the factors contributing to the translation of rights from policy to practice.

9Mobile news SMS entrepreneurship and citizen journalism potentials in Nigeria

2021 ◽  
Vol 00 (00) ◽  
pp. 1-32
Author(s):  
Isaac Imo-Ter Nyam ◽  
Stella-Maris Ngozi Okpara
Keyword(s):  
Content Analysis ◽  
Participant Observation ◽  
Professional Standards ◽  
Citizen Journalism ◽  
Mobile Telecommunications ◽  
News Stories ◽  
Telecommunications Company

Abstract There is increased mobile telecommunications penetration across Nigeria. One of the realities connected to such penetration is the news-text services offered by the country’s 9Mobile mobile telecommunications company. This content analysis and covert non-participant observation research examined news entrepreneurial and citizen journalism potentials of the service. Findings show that news SMS service is encouraging, but issues such as delayed delivery and incomplete replications concurrently hamper entrepreneurial and citizen journalism benefits. The degree of diversity of 9Mobile news SMS contents is also poor. Nevertheless, there was significant use of prominent news stories – as derived from the hardcopies of the sourcing national newspapers. The research notes the need for news SMS copyright and plagiarism checks alongside other professional standards. Overall, it is pertinent to reiterate that irrespective of shortcomings, convergent news deliveries of 9Mobile SMS-MoreNews retain significant potentials for entrepreneurship and citizen journalism.

scholarly journals Real-time video content analysis tool for consumer media storage system

2006 ◽  
Vol 52 (3) ◽  
pp. 870-878 ◽  
Author(s):  
Jungong Han ◽  
D. Farin ◽  
P.H.N. de With ◽  
Weilun Lao
Keyword(s):  
Content Analysis ◽  
Real Time ◽  
Storage System ◽  
Analysis Tool ◽  
Video Content ◽  
Video Content Analysis ◽  
Media Storage
Sign in / Sign up

Export Citation Format

Share Document