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Journal articles on the topic 'Content Analysis'

To see the other types of publications on this topic, follow the link: Content Analysis.

Author: Grafiati

Published: 4 June 2021

Last updated: 6 September 2023

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1

Schäfer, Markus, and Catharina Vögele. "Content Analysis as a Research Method: A Content Analysis of Content Analyses in Sport Communication." International Journal of Sport Communication 14, no. 2 (June 1, 2021): 195–211. http://dx.doi.org/10.1123/ijsc.2020-0295.

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Content analysis is a popular method in communication and media research. However, to what extent and in which contexts it is used in sport communication research has hardly been investigated. In order to provide empirically grounded insight, the authors conducted a quantitative content analysis of scholarly journal articles using content analysis as a research method, focusing on three major international sport communication journals during the 10 years between 2010 and 2019 (N = 267). Results indicate that qualitative and quantitative methods are used equally while combinations with other methods are comparatively rare. The studies cover a broad portfolio of different topics. Social media as communication channels becomes an increasingly central issue of scientific exploration. Although the studies deal with 31 different sports in total, most of them focus on popular team sports such as football, basketball, soccer, baseball, and ice hockey.

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2

Dimitrova, N. "Context and memory in multimedia content analysis." IEEE MultiMedia 11, no. 3 (July 2004): 7–11. http://dx.doi.org/10.1109/mmul.2004.6.

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3

Twycross, Alison, and Linda Shields. "Content analysis." Paediatric Nursing 20, no. 6 (July 24, 2008): 38. http://dx.doi.org/10.7748/paed.20.6.38.s27.

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4

Allen-Meares, Paula. "Content Analysis." Journal of Social Service Research 7, no. 4 (March 29, 1985): 51–68. http://dx.doi.org/10.1300/j079v07n04_04.

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5

Cole, Frank L. "Content Analysis." Clinical Nurse Specialist 2, no. 1 (1988): 53–57. http://dx.doi.org/10.1097/00002800-198800210-00025.

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6

Danju, Ipek, and Huseyin Uzunboylu. "A content analysis of citizenship education." New Trends and Issues Proceedings on Humanities and Social Sciences 2, no. 2 (January 12, 2016): 170–76. http://dx.doi.org/10.18844/gjhss.v2i2.440.

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7

Petkova, Lilyana, and Vasilisa Pavlova. "Security Analysis on Content Management Systems." Mathematics and Informatics LXV, no. 5 (October 28, 2022): 423–34. http://dx.doi.org/10.53656/math2022-5-2-sec.

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This paper is dedicated to the challenges of the use of the most popular content management systems (CMS) in software development. Fundamental information about the selected CMS platforms and vulnerability analysis are introduced. The review is made on CMS like Umbraco, Sitecore, WordPress and Drupal categorized in two groups defined by the technology used for development. And as the IT world changes a lot these brings one constant battle against threats. Therefore, this article will add some vulnerabilities analysis of the selected systems since 2014. Results were grouped by common vulnerabilities of the selected platforms and such specific ones.

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8

Kim, Min Sung, Seongcheol Kim, Hyoung-Jee Kim, and Junghwan Kim. "Competitive analysis between mobile content: Focusing on the context of content consumption." Journal of Digital Contents Society 23, no. 3 (March 31, 2022): 433–42. http://dx.doi.org/10.9728/dcs.2022.23.3.433.

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9

C. S., Biriowu,, and Chris Biriowu. "Content Analysis: A Reevaluation Of Known Parameters." American Journal of Management and Economics Innovations 03, no. 02 (February 10, 2021): 17–24. http://dx.doi.org/10.37547/tajmei/volume03issue02-02.

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In Nigeria, the majority of content analysis research tends to tilt towards the dominant quantitative method. This technique now seems overly used, overspent, and unoriginal. This paper reviews content analysis as an empirical research method that is used to study the content of text in order to make inferences that are based on findings. The plethora of quantitative content analysis research writings are predominantly on the study of newspapers with research objectives that rotate around depth, direction, frequency and prominence. This paper in a bid to critique this overly used method of writing, provided description of Content Analysis as a research method, explained the goals/objectives of content analysis as well as underscored the various qualitative methodological types. Furthermore, the uses of content analysis in relation to text were explained. This paper concluded that the content analysis research method is under-used and that there is an abundance of communication branches where the research method needs to be applied.

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Akhmedov, Olim Neymatovich. "Models Of State Sports Policy (Content Analysis)." American Journal of Social Science and Education Innovations 02, no. 11 (November 30, 2020): 389–94. http://dx.doi.org/10.37547/tajssei/volume02issue11-65.

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In order to determine the limits of state intervention in the field of physical culture and sports, it is necessary to study the model of the relationship between the state and sports. This article also examines interventionist, non-interventionist, and mixed models in the implementation of public sports policy. It also analyzes the problems of state and non-state sports, the fact that despite the parallel existence of state and non-state sports, regardless of the sources and nature of funding, they are the object of public policy.

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11

Schuster, Camille, and Robert Philip Weber. "Basic Content Analysis." Journal of Marketing Research 23, no. 3 (August 1986): 310. http://dx.doi.org/10.2307/3151496.

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12

Kleinheksel, A. J., Nicole Rockich-Winston, Huda Tawfik, and Tasha R. Wyatt. "Demystifying Content Analysis." American Journal of Pharmaceutical Education 84, no. 1 (December 12, 2019): 7113. http://dx.doi.org/10.5688/ajpe7113.

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13

Singletary, Michael W. "Computerized Content Analysis." Journalism Quarterly 64, no. 4 (December 1987): 945. http://dx.doi.org/10.1177/107769908706400436.

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14

Krippendorff, Klaus, and Robert Philip Weber. "Basic Content Analysis." Journal of the American Statistical Association 82, no. 397 (March 1987): 354. http://dx.doi.org/10.2307/2289192.

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15

Hua, Xian-Sheng, and Hong-Jiang Zhang. "Media Content Analysis." Scholarpedia 3, no. 2 (2008): 3712. http://dx.doi.org/10.4249/scholarpedia.3712.

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16

Elo, Satu, Maria Kääriäinen, Outi Kanste, Tarja Pölkki, Kati Utriainen, and Helvi Kyngäs. "Qualitative Content Analysis." SAGE Open 4, no. 1 (January 7, 2014): 215824401452263. http://dx.doi.org/10.1177/2158244014522633.

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17

McTavish, Donald G., and Ellen B. Pirro. "Contextual content analysis." Quality and Quantity 24, no. 3 (August 1990): 245–65. http://dx.doi.org/10.1007/bf00139259.

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18

KEPPLINGER, HANS MATHIAS. "Content Analysis and Reception Analysis." American Behavioral Scientist 33, no. 2 (November 1989): 175–82. http://dx.doi.org/10.1177/0002764289033002010.

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19

Jeong, Tae-ho. "The Content Analysis of Video Contents in Multicultural Education." Korean Association for the Social Studies 27, no. 2 (May 30, 2020): 27–47. http://dx.doi.org/10.37409/rsse.27.2.27.

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20

Chen, Tao, Kim-Hui Yap, and Lap-Pui Chau. "Integrated Content and Context Analysis for Mobile Landmark Recognition." IEEE Transactions on Circuits and Systems for Video Technology 21, no. 10 (October 2011): 1476–86. http://dx.doi.org/10.1109/tcsvt.2011.2161413.

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21

Liang, Chao, Changsheng Xu, and Hanqing Lu. "Personalized Sports Video Customization Using Content and Context Analysis." International Journal of Digital Multimedia Broadcasting 2010 (2010): 1–20. http://dx.doi.org/10.1155/2010/836357.

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We present an integrated framework on personalized sports video customization, which addresses three research issues: semantic video annotation, personalized video retrieval and summarization, and system adaptation. Sports video annotation serves as the foundation of the video customization system. To acquire detailed description of video content, external web text is adopted to align with the related sports video according to their semantic correspondence. Based on the derived semantic annotation, a user-participant multiconstraint 0/1 Knapsack model is designed to model the personalized video customization, which can unify both video retrieval and summarization with different fusion parameters. As a measure to make the system adaptive to the particular user, a social network based system adaptation algorithm is proposed to learn latent user preference implicitly. Both quantitative and qualitative experiments conducted on twelve broadcast basketball and football videos validate the effectiveness of the proposed method.

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22

Magliacani, Michela, and Elena Madeo. "Exploring “culturalization” in rural entrepreneurial context through content analysis." Knowledge and Process Management 25, no. 4 (May 10, 2018): 292–301. http://dx.doi.org/10.1002/kpm.1567.

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23

Russell, Felice Atesoglu. "Context for Content Teachers' Learning." Journal of School Leadership 28, no. 2 (March 2018): 229–58. http://dx.doi.org/10.1177/105268461802800204.

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This article examines the context for content teachers‘ professional learning concerning English learners (ELs), paying particular attention to the role of leadership in supporting and constraining this capacity development. The contextual features of the school are analyzed, specifically the leadership of the principal and an EL facilitator, as well as supports that influenced the development of teacher capacity. The data used in this analysis comes from a yearlong qualitative case study of professional learning and the instruction of ELs in one diverse, urban high school. Data analysis revealed two main themes (1) the significance of the role and vision of the principal and (2) the relevance of cultural norms, structures, and activities that contributed to content teachers’ capacity to meet the needs of ELs. Implications for research and practice are discussed.

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24

Kim, Inhwa, and Jasna Kuljis. "Applying Content Analysis to Web-based Content." Journal of Computing and Information Technology 18, no. 4 (2010): 369. http://dx.doi.org/10.2498/cit.1001924.

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25

Salinas, Romelia. "A content analysis of Latina Web content." Library & Information Science Research 28, no. 2 (June 2006): 297–324. http://dx.doi.org/10.1016/j.lisr.2006.03.007.

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26

Bose, Smarajit, Amita Pal, Disha Chakrabarti, and Taranga Mukherjee. "Improved Content-Based Image Retrieval via Discriminant Analysis." International Journal of Machine Learning and Computing 7, no. 3 (June 2017): 44–48. http://dx.doi.org/10.18178/ijmlc.2017.7.3.618.

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27

Riffe, Daniel, and Alan Freitag. "A Content Analysis of Content Analyses: Twenty-Five Years of Journalism Quarterly." Journalism & Mass Communication Quarterly 74, no. 3 (September 1997): 515–24. http://dx.doi.org/10.1177/107769909707400306.

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Examination of the increasing number of articles employing quantitative content analysis in 1971–95 Journalism & Mass Communication Quarterly showed primary focus on news/editorial content in U.S. media. Nearly half examined newspapers, and half were coauthored. Most used convenience or purposive samples. Few involved a second research method or extra-media data, explicit theoretical grounding, or research questions or hypotheses. Half reported intercoder reliability, and two-fifths used only descriptive statistics. Analysis of trends shows growth in coauthorship and reporting of reliability, and increasing emphasis on more sophisticated statistical analysis. No parallel trend exists, however, in use of explicit hypotheses/research questions or theoretical grounding.

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28

Riffe, Daniel, and Alan Freitag. "A Content Analysis of Content Analyses: Twenty-Five Years of Journalism Quarterly." Journalism & Mass Communication Quarterly 74, no. 4 (December 1997): 873–82. http://dx.doi.org/10.1177/107769909707400414.

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Examination of the increasing number of articles employing quantitative content analysis in 1971–95 Journalism & Mass Communication Quarterly showed primary focus on news/editorial content in U.S. media. Nearly half examined newspapers, and half were coauthored. Most used convenience or purposive samples. Few involved a second research method or extra-media data, explicit theoretical grounding, or research questions or hypotheses. Half reported intercoder reliability, and two-fifths used only descriptive statistics. Analysis of trends shows growth in coauthorship and reporting of reliability, and increasing emphasis on more sophisticated statistical analysis. No parallel trend exists, however, in use of explicit hypotheses/research questions or theoretical grounding.

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29

Barker, Alexander B., Kathy Whittamore, John Britton, and Jo Cranwell. "Content analysis of tobacco content in UK television." Tobacco Control 28, no. 4 (August 13, 2018): 381–85. http://dx.doi.org/10.1136/tobaccocontrol-2018-054427.

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AimsExposure to audiovisual tobacco content in media is a risk factor for smoking in young people. While tobacco content in films has been extensively documented, content in mainstream television has received relatively little attention. We report an analysis of tobacco content in a sample of UK free-to-air prime-time television broadcasts in 2015, and compare this with a similar analysis from 2010.DesignContent analysis of all programmes and advertisements or trailers broadcast on the five national UK free-to-air channels in the UK between 18:00 and 22:00 during three separate weeks in September, October and November 2015.SettingGreat Britain.ParticipantsNone (media analysis only).MeasurementsOccurrence of any tobacco, tobacco use, implied use, other tobacco reference/related objects and branding in every 1 min coding interval.FindingsTobacco content occurred in 33% of all programmes and 8% of all adverts or programme trailer breaks. Actual tobacco use occurred in 12% of all programmes broadcast. Tobacco-related objects, primarily no smoking signs, occurred in 2% of broadcasts; implied tobacco use and tobacco branding were also rare. The majority of tobacco content occurred after the 21:00 watershed.ConclusionsThese findings are virtually unchanged from our earlier analysis of programme content from 2010. Audiovisual tobacco content remains common in UK television programmes.

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30

Wilson, Virginia. "Research Methods: Content Analysis." Evidence Based Library and Information Practice 11, no. 1(S) (March 4, 2016): 41. http://dx.doi.org/10.18438/b8cg9d.

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31

Manic, Zeljka. "Performing qualitative content analysis." Sociologija 62, no. 1 (2020): 105–23. http://dx.doi.org/10.2298/soc2001105m.

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Although content analysis has traditionally been considered a quantitative method, it has been advocated in the methodological literature for its use in qualitative form as early as the middle of the 20th century. Nevertheless, much less methodological knowledge is available on the characteristics of qualitative content analysis and its application than on quantitative content analysis. The subject of this paper is a presentation of performing qualitative content analysis. First, different views of the qualitative form of the method are given, since there is no unique definition. Then, the basic steps of qualitative content analysis are presented, that is, the stages of application of the procedure, on which there is also no agreement, but no essential differences. Particular attention has been paid to the deductive and inductive approach of determining the categories of classification. The application of qualitative content analysis is illustrated by a survey of nostalgia of Serbian immigrants living in the Nordic countries. Finally, concluding considerations on performing a qualitative content analysis are summarized and the challenges ahead.

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32

Wilson, Virginia. "Research Methods: Content Analysis." Evidence Based Library and Information Practice 6, no. 4 (December 15, 2011): 177. http://dx.doi.org/10.18438/b86p6s.

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33

Haggarty, Linda. "What is content analysis?" Medical Teacher 18, no. 2 (January 1996): 99–101. http://dx.doi.org/10.3109/01421599609034141.

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34

Trilling, Damian, and Jeroen G. F. Jonkman. "Scaling up Content Analysis." Communication Methods and Measures 12, no. 2-3 (March 14, 2018): 158–74. http://dx.doi.org/10.1080/19312458.2018.1447655.

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35

Sterne, Jonathan. "Media Analysis Beyond Content." Journal of Visual Culture 13, no. 1 (March 10, 2014): 100–103. http://dx.doi.org/10.1177/1470412913509457.

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36

Krippendorff, Klaus. "Reliability in Content Analysis." Human Communication Research 30, no. 3 (July 2004): 411–33. http://dx.doi.org/10.1111/j.1468-2958.2004.tb00738.x.

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37

Gould, Madelyn S., Jennifer Bassett Midle, Beverly Insel, and Marjorie Kleinman. "Suicide Reporting Content Analysis." Crisis 28, no. 4 (July 2007): 165–74. http://dx.doi.org/10.1027/0227-5910.28.4.165.

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Despite substantial research on media influences and the development of media guidelines on suicide reporting, research on the specifics of media stories that facilitate suicide contagion has been limited. The goal of the present study was to develop a content analytic strategy to code features in media suicide reports presumed to be influential in suicide contagion and determine the interrater reliability of the qualitative characteristics abstracted from newspaper stories. A random subset of 151 articles from a database of 1,851 newspaper suicide stories published during 1988 through 1996, which were collected as part of a national study in the United States to identify factors associated with the initiation of youth suicide clusters, were evaluated. Using a well-defined content-analysis procedure, the agreement between raters in scoring key concepts of suicide reports from the headline, the pictorial presentation, and the text were evaluated. The results show that while the majority of variables in the content analysis were very reliable, assessed using the κ statistic, and obtained excellent percentages of agreement, the reliability of complicated constructs, such as sensationalizing, glorifying, or romanticizing the suicide, was comparatively low. The data emphasize that before effective guidelines and responsible suicide reporting can ensue, further explication of suicide story constructs is necessary to ensure the implementation and compliance of responsible reporting on behalf of the media.

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38

Altheide, David L. "Reflections: Ethnographic content analysis." Qualitative Sociology 10, no. 1 (1987): 65–77. http://dx.doi.org/10.1007/bf00988269.

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39

Evans, William. "Computer-Supported Content Analysis." Social Science Computer Review 14, no. 3 (October 1996): 269–79. http://dx.doi.org/10.1177/089443939601400302.

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40

Raj, Bhiksha, Paris Smaragdis, Malcolm Slaney, Chung-Hsien Wu, Liming Chen, and Hyoung-Gook Kim. "Scalable Audio-Content Analysis." EURASIP Journal on Audio, Speech, and Music Processing 2010 (2010): 1–2. http://dx.doi.org/10.1155/2010/467278.

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41

Perner, Petra. "Flexible High-Content Analysis." Imaging & Microscopy 8, no. 1 (March 2006): 48–49. http://dx.doi.org/10.1002/imic.200790018.

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42

Mavi, Duygu, and Hüseyin Uzunboylu. "Content Analysis of Artıcles about Computer Teaching Methods: A Content Analysis Study." Procedia - Social and Behavioral Sciences 143 (August 2014): 1171–76. http://dx.doi.org/10.1016/j.sbspro.2014.07.573.

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43

McDonald, Patrick, and Robert Meyers. "Dirichlet spectrum and heat content." Journal of Functional Analysis 200, no. 1 (May 2003): 150–59. http://dx.doi.org/10.1016/s0022-1236(02)00076-9.

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44

Cho, Chang-Hoan, Heejun Lee, Ho-Hyun Kim, So-Yoon Lee, and Young-Hwan Keel. "Content Analysis of Digital Reality Contents as a Branded Entertainment." Korean Journal of Advertising 29, no. 5 (July 15, 2018): 127–60. http://dx.doi.org/10.14377/kja.2018.7.15.127.

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45

Urban, Wayne J. "Editorial: The Social and Institutional Analysis Section: Context and Content." American Educational Research Journal 27, no. 1 (March 1990): 1–8. http://dx.doi.org/10.3102/00028312027001001.

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46

Farrel, Muhammad, Ade Romadhony, and Hasmawati Hasmawati. "Content and Context Based Analysis of University Social Media Engagement." JATISI (Jurnal Teknik Informatika dan Sistem Informasi) 9, no. 4 (December 13, 2022): 3227–37. http://dx.doi.org/10.35957/jatisi.v9i4.2696.

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Social media has become an essential tool for institutions to create interactions with their users. Creating successful and relevant material for social media content is challenging as institutions struggle to comprehend what drives user engagement. Using analytics on user-generated social media material to determine the relation between post features and user engagement becomes a method for overcoming this challenge. In this study, engagement is measured based on a quantitative approach to the number of likes and comments. We applied machine learning algorithm to extract contextual features (time of post) and content features (caption and image classification) from university Instagram posts, and their influence on user engagement is statistically modeled. LASSO regression is applied, which is an effective strategy for automated variable selection. The results indicate that context features around 13:00 on Sunday, during the month of June, and content features containing the words "Gedung" and "Foto," as well as image classifications of "Sight" and "Sadness," will receive more likes and comments.

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47

Lumban Gaol, Nasib Tua. "Policy process in the context of education: a content analysis." Jurnal Akuntabilitas Manajemen Pendidikan 10, no. 1 (March 22, 2022): 1–13. http://dx.doi.org/10.21831/jamp.v10i1.44281.

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Penelitian ini bertujuan untuk mengidentifikasi sebuah siklus baru dalam proses pembuatan kebijakan pendidikan yang mana dapat digunanakan untuk menyelesaikan permasalahan publik di bidang pendidikan. Metode penelitian kualitatif digunakan, melalui analisis konten, untuk membuat siklus kebijakan pendidikan yang dibutuhkan. Hasil studi ini mengidentifikasi enam tahapan di dalam siklus kebijakan pendidikan, yaitu penentuan agenda, fomulasi, legitimasi, sosialisasi, implementasi, dan evaluasi. Siklus kebijakan pendidikan ini dapat berkontribusi signifikan terhadap peningkatan pengetahuan para pembuat kebijakan, pemangku kepentingan, peneliti, dan pengimplementasi kebijakan tentang proses kebijakan pendidikan. Selain itu, siklus tersebut dapat digunakan sebagai panduan dan tuntunan untuk mengelola sektor pendidikan, terkhusus pembuatan berbagai kebijakan di level makro (pusat/kementerian), messo (provinsi/kabupaten/kota), dan lokal (institusi pendidikan). Selanjutnya, hal tersebut juga dapat membantu para praktisi pendidikan berpikir secara sistematis dan tepat dalam membuat dan mengimplementasikan kebijakan pendidikan. Penelitian selanjutnya sangat direkomendasikan menginvestigasi efektifitas dari siklus kebijakan pendidikan pada level mikro, meso, dan makro tersebut.

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48

Divatia, A., and P. Thaker. "Socio-Political Activism: Content Analysis of Selected Hash Tags." International Journal of Languages, Literature and Linguistics 8, no. 3 (September 2022): 187–92. http://dx.doi.org/10.18178/ijlll.2022.8.3.346.

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Social media is the means to register people’s participation in the virtual world and to organise, coordinate and/or drive social change, mass protest or any social movement which brings commendable changes in and around the world. The concept and practice of hashtag activism are relatively new. They are very user friendly, by just liking or retweeting the post on Twitter many social drives and socio-political movements have gone popular and successful in recent times. It has gained significance quick as a wink, due to the participation of a large number of people pan the world, for divergent issues like justice for victims, human rights abuse, political drama, fundraising, campaigns etc. This research study which has never been conducted in its current form clearly showed the use of the hashtag and socio-political activism on tweeter. The primary focus of this research was a detailed study of the selected popular hashtag in recent times.

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49

Ochi, Daisuke, Shuichiro Fukushima, Tsutomu Araki, and Yoshiyuki Tohno. "P-16 ANALYSIS OF CALCIUM CONTENT IN HUMAN ARTERY." Proceedings of the Asian Pacific Conference on Biomechanics : emerging science and technology in biomechanics 2007.3 (2007): S104. http://dx.doi.org/10.1299/jsmeapbio.2007.3.s104.

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50

Barker, Alexander B., Kathy Whittamore, John Britton, Rachael L. Murray, and Jo Cranwell. "A content analysis of alcohol content in UK television." Journal of Public Health 41, no. 3 (October 14, 2018): 462–69. http://dx.doi.org/10.1093/pubmed/fdy142.

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Abstract Background Exposure to audio-visual alcohol content in media is associated with subsequent alcohol use in young people, but the extent of exposure contained in UK free-to-air prime-time television has not been explored since 2010. We report an analysis of alcohol content in a sample of UK free-to-air prime-time television broadcasts in 2015 and compare this with a similar analysis from 2010. Methods Content analysis of all programmes and advertisement/trailer breaks broadcast on the five national UK free-to-air channels in the UK between 6 and 10 pm during three separate weeks in September, October and November 2015. Results Alcohol content occurred in over 50% of all programmes broadcast and almost 50% of all advert/trailer periods between programmes. The majority of alcohol content occurred before the 9 pm watershed. Branding occurred in 3% of coded intervals and involved 122 brands, though three brands (Heineken, Corona and Fosters) accounted for almost half of all brand appearances. Conclusion Audio-visual alcohol content, including branding, is prevalent in UK television, and is therefore a potential driver of alcohol use in young people. These findings are virtually unchanged from our earlier analysis of programme content from 2010.

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