Journal articles: 'Media content analysis'

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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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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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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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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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Kanzatova, A. "Content-analysis of the native media." Bulletin of L.N. Gumilyov Eurasian National University. Journalism Series 131, no. 2 (2020): 37–46. http://dx.doi.org/10.32523/2616-678x-2020-131-2-37-46.

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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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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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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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MacKay, Kelly, Danielle Barbe, Christine M. Van Winkle, and Elizabeth Halpenny. "Social media activity in a festival context: temporal and content analysis." International Journal of Contemporary Hospitality Management 29, no. 2 (February 13, 2017): 669–89. http://dx.doi.org/10.1108/ijchm-10-2015-0618.

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Purpose This study explores the multi-phasic experience of festivals to understand the nature, purpose and degree of social media (SM) use before, during and after festival occurrence and how this may inform better engagement of attendees. Design/methodology/approach A census of tweets and posts from four festivals’ Twitter handles and Facebook accounts were coded and analyzed across three time points: one week prior, during and one week after the festival. They were coded on nature (e.g. conversational, promotional, informational), purpose (e.g. information-seeking, friendship/relationship) and presence of links, photos, etc. Tests for platform influences on usage were conducted. Findings In total, 1,169 tweets and 483 posts were captured. Two-thirds of SM activity occurred during the festivals, one-third pre-festival and minimal activity post festival. Temporal analyses found that while the purpose and nature of the message content varied across festival time points, this was often dependent on SM platform. Research limitations/implications Festivals are not taking advantage of the multi-phase experience model and the utility of SM to maintain contact and encourage visitors to continue processing their experience after the festival. This lost opportunity has implications for re-patronizing behaviour and sponsor relationships. Originality value Leung et al. (2013a) call for sector specific research to elucidate SM use in tourism. Festivals provide a unique environment of co-created experience. Findings suggest differential usage of SM across festival time frames and platforms that can be used to guide festival organizations’ SM communication to better engage its patrons.

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Gilbert, Stacy, and Rebecca Kelley. "Content Analysis of News Analyses." Journal of New Librarianship 9, no. 1 (February 5, 2024): 1–25. http://dx.doi.org/10.33011/newlibs/15/1.

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While the news industry and news databases have changed over the last 20 years, little is known about the type of news content studied and how the ways researchers access content have evolved. This paper aims to identify trends in news analysis studies by examining 216 print and online news analyses published in communication, journalism, and media studies journals by U.S. authors between 2002 and 2020. Each publication was coded for their methodological attributes. Findings show most studies analyze text articles. Subscription-based news aggregator databases like LexisNexis, NewsBank/Access World News, ProQuest, and Factiva are the most popular resources to access news content, and there has been a statistically significant increase in the use of news websites and public databases. Librarians can use these findings to assess their news collections and advise researchers on resources to access news content for news analysis projects.

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Schwartz, H. Andrew, and Lyle H. Ungar. "Data-Driven Content Analysis of Social Media." ANNALS of the American Academy of Political and Social Science 659, no. 1 (April 9, 2015): 78–94. http://dx.doi.org/10.1177/0002716215569197.

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Researchers have long measured people’s thoughts, feelings, and personalities using carefully designed survey questions, which are often given to a relatively small number of volunteers. The proliferation of social media, such as Twitter and Facebook, offers alternative measurement approaches: automatic content coding at unprecedented scales and the statistical power to do open-vocabulary exploratory analysis. We describe a range of automatic and partially automatic content analysis techniques and illustrate how their use on social media generates insights into subjective well-being, health, gender differences, and personality.

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Zaharieva, Vera. "Media content analysis on school violence and aggression in Bulgaria." Strategies for Policy in Science and Education-Strategii na Obrazovatelnata i Nauchnata Politika 29, no. 4s (August 10, 2021): 127–37. http://dx.doi.org/10.53656/str2021-4s-14-media.

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This research offers a review of the online news content in Bulgaria, related to school aggression, violence, and sports initiatives tackling those behavioral problems. The aim is to provide an understanding of the phenomenon and the societal attitude towards its dimensions and possible solutions through sport. A media content analysis of online articles, dated January 2019 – April 2020, was used as a research methodology. Thirty-three articles on aggression and violence in school were reviewed, based on their frequency, timeline, place of publication, topics, and spokesperson. For the same time period, sixteen articles related to dealing with aggression through sport were reported. The results show that most of the media content on violence and aggression among students was related to raw statistical data and reports of cases. A relatively small section in the news was dedicated to opinion articles. It was observed that those who witness cases of aggression do not understand the seriousness of the situation and see it as entertainment. As a result, a major part of the video content, related to aggression, is being uploaded on the Internet by students and parents. However, the public focus is mainly shifted towards the school authorities and the figure of the teacher. At the same time, aggression in schools is spread among all students. It has a constant value and is provoked by numerous factors. On the contrary, initiatives and events aiming to disseminate information and to reduce aggression through sport were organized in many Bulgarian cities by nonprofit organizations, municipalities, and schools. The majority of events were organized as a part of European or national projects. It is suggested a more centralized national approach towards reducing aggression through different sports activities in school.

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Jiang, Xiaoya, Wenshi Jiang, Jiawei Cai, Qingdong Su, Zhigang Zhou, Lingnan He, and Kaisheng Lai. "Characterizing Media Content and Effects of Organ Donation on a Social Media Platform: Content Analysis." Journal of Medical Internet Research 21, no. 3 (March 12, 2019): e13058. http://dx.doi.org/10.2196/13058.

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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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Saqib Iqbal, Saqib Iqbal, Farhad Khan Saqib Iqbal, Hikmat Ullah Khan Farhad Khan, Tassawar Iqbal Hikmat Ullah Khan, and Jamal Hussain Shah Tassawar Iqbal. "Sentiment Analysis of Social Media Content in Pashto Language using Deep Learning Algorithms." 網際網路技術學刊 23, no. 7 (December 2022): 1669–77. http://dx.doi.org/10.53106/160792642022122307021.

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<p>Sentiment Analysis (SA) has become an active research area due to introduction of social media as it provides content generation facility of its users. Thanks to social media platforms, common people can share their views, opinions and experiences. The main focus of the researchers has been to carry out sentiment analysis in the English language content. Minimal work has been done in the field of SA in content in Pashto language which is the national language of Afghanistan and widely spoken in Pakistan as well. In this research study, our aim is to perform SA in Pashto text of social media content using machine learning and state of the art deep learning algorithms. We exploit various text feature engineering techniques like Term Frequency-Inverse Document frequency, bag-of-words, n-gram, as well as deep features of word2vec, and GloVe. We perform three sets of test subjectivity analysis, binary and tertiary level sentiment classification. Being a pioneer work, we received satisfactory results on self-prepared datasets which is extracted from social media sources. The empirical analysis-based results are evaluated using standard performance evaluation measures such as accuracy, precision, recall and f-measure. Among numerous applied algorithms, Random Forest obtained better results as compared to other algorithms.</p> <p> </p>

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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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Mohr, Svenja, and Julia Höhler. "Media coverage of digitalization in agriculture - an analysis of media content." Technological Forecasting and Social Change 187 (February 2023): 122238. http://dx.doi.org/10.1016/j.techfore.2022.122238.

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Santi Setyaningsih, Prahastiwi Utari, and Ignatius Agung Satyawan. "Deaf Social Media Influencers' Content Analysis: Creating Engagement with Educational Content." Formosa Journal of Multidisciplinary Research 3, no. 4 (April 30, 2024): 163–84. http://dx.doi.org/10.55927/fjmr.v3i4.8993.

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Social media has evolved into a communication tool that promotes inclusivity, allowing persons with disabilities to share a variety of messages with their audiences. @jennifernatalie_ is a deaf Social Media Influencer (SMI) who uses TikTok to share sign language-related educational content. Despite her difficulty talking verbally, @jennifernatalie_ is capable of generating quite high levels of engagement with her followers. The goal of this study is to analyze @jennifernatalie_'s sign language educational content in terms of creating engagement with followers along five characteristics that support SMI communications. This study used a qualitative study content analysis methodology. The research data was gathered by assessing the content of short videos on TikTok @jennifernatalie_ and enhanced by literature reviews from various sources relevant to the research issues. The findings showed that @jennifernatalie_ was capable of presenting the five dimensions of SMI communications to generate engagement through her educational TikTok posts.

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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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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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Ryabichev, Vyacheslav. "Content Verification in Social Media." Current Issues of Mass Communication, no. 18 (2015): 44–61. http://dx.doi.org/10.17721/2312-5160.2015.18.44-61.

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The main objectives of the study are: elaboration of the operative algorithm for professional online journalists under information warfare (IW) conditions; analysis of the modern methods and tools for the effective verification of information; application of the decision support systems (DSS) for the content distribution in social media; specification of the set of rules for network reporters to itemize their activity. In this study the issue of verifying the information received from the World Wide Web is analysed, in particular, the information spread during the military aggression of the Russian Federation against Ukraine in 2014–2015. We also present and justify some modern means of counteracting the spread of intentionally distorted information and hostile propaganda. We focus on using content analysis, comparative analysis, full-text searching, pattern recognition, and open-source intelligence (OSINT) method. Through using specific facts and findings we analyse the features of the work of an online journalist during the warfare and modern digital tools for content search, verification, comparison and analysis. The results and conclusions of this investigation allow generalizing and structuring some methods and techniques of content verification. A number of rules and helpful hints for enhancing the efficiency of online journalists are proposed. Current trends in development of social media allow predicting further increase of the Internet audience and consequently an increasing amount of information on the web. With the development of citizen journalism (street journalism) in Ukraine, the significance level of journalistic responsibility for information dissemination in mass media has been constantly increasing. Out of a huge amount of reports and data, a journalist must be able to identify the most accurate and up-to-date ones, check them promptly, and distribute on cross-media platforms. Under such conditions, an online reporter is obliged to possess modern skills of dealing with digital tools for content verification, and to keep in contact with experts whom he can ask for advice.

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Arafat, Gusti Yasser. "MEMBONGKAR ISI PESAN DAN MEDIA DENGAN CONTENT ANALYSIS." Alhadharah: Jurnal Ilmu Dakwah 17, no. 33 (January 2, 2019): 32. http://dx.doi.org/10.18592/alhadharah.v17i33.2370.

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Content analysis in a quantitative research tradition is a method of communication science research and also for some of another social sciences branch. The quantitative content analysis is in the scope of positivistic paradigm that put its researcher as a neutral scientist who do not take a side and forbidden prohibited to product opinion. The researcher is only need to collect and then categorizing meaning of a content such as text, image, sign, and symbol. Content analysis is also able to test a hipotetic using deductive methode by series of statistic test. In communication sciences, this research methode model would powerful to answer how the media effect which impact to public and analyzing the people all at once. The difference between social construct in society and the recontructed reality by the media would being explained using this great methode. Content analysis is capable to measure the accuracy level of message producer and where it’s inclined.

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Kadırhan, Zafer. "Publication Trends in Social Media: A Content Analysis." Journal of Social Media Studies 3, no. 1 (December 20, 2016): 15–29. http://dx.doi.org/10.15340/21473366311014.

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Humphreys, Lee, Phillipa Gill, Balachander Krishnamurthy, and Elizabeth Newbury. "Historicizing New Media: A Content Analysis of Twitter." Journal of Communication 63, no. 3 (May 11, 2013): 413–31. http://dx.doi.org/10.1111/jcom.12030.

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Gupta, Achala, and A. K. Sinha. "Health Coverage in Mass Media: A Content Analysis." Journal of Communication 1, no. 1 (July 2010): 19–25. http://dx.doi.org/10.1080/0976691x.2010.11884766.

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Kaur, Parmeet, Shubhankar Gupta, Shubham Dhingra, Shreeya Sharma, and Anuja Arora. "Towards Content-Dependent Social Media Platform Preference Analysis." International Journal of Ambient Computing and Intelligence 11, no. 2 (April 2020): 30–47. http://dx.doi.org/10.4018/ijaci.2020040102.

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Social media is one of the major outcomes of progressive changes in the world of technology. The various social webs and mobile technologies have accelerated the rate at which information sharing is done, how relationships developed, and influences are held. Social media is increasingly being used by the people to help and shape the world's events and cultures with the ability to share pictures, ideas, events, etc. Further, it has transformed the way the authors interpret life and the way business is done. This article presents a decision system for selecting an appropriate social media platform (such as Facebook or Twitter) to post content with the objective to maximize the reachability of the post. The decision is made considering the domain or subject of the post and retrieving data associated with it from the web at regular time intervals. The retrieved data has been trained using logistics and K-NN regression to classify a particular instance of data and identify the platform which can provide the most reachability. The system also suggests keywords related to the topic of the post which has been mostly used in recent times.

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Fico, Frederick G., Stephen Lacy, and Daniel Riffe. "A Content Analysis Guide for Media Economics Scholars." Journal of Media Economics 21, no. 2 (June 5, 2008): 114–30. http://dx.doi.org/10.1080/08997760802069994.

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Potter, W. James, and Karyn Riddle. "A Content Analysis of the Media Effects Literature." Journalism & Mass Communication Quarterly 84, no. 1 (March 2007): 90–104. http://dx.doi.org/10.1177/107769900708400107.

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Shih-Fu Chang. "The holy grail of content-based media analysis." IEEE Multimedia 9, no. 2 (2002): 6–10. http://dx.doi.org/10.1109/93.998041.

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Almomani, B., and J. McElnay. "Content analysis of UK media coverage of pharmacogenetics." European Journal of Hospital Pharmacy 19, no. 2 (March 12, 2012): 147.2–148. http://dx.doi.org/10.1136/ejhpharm-2012-000074.166.

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Susiati, Susiati, Wening Udasmoro, and Nur Saktiningrum. "ILLEGAL ABORTION ON INDONESIA MEDIA: A CONTENT ANALYSIS." Lire Journal (Journal of Linguistics and Literature) 7, no. 1 (March 7, 2023): 127–39. http://dx.doi.org/10.33019/lire.v7i1.183.

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T Abortion is a complex issue. On the one hand, abortion is an illegal act according to positive law and is prohibited by religion in Indonesia. On the other hand, abortion is a shortcut to solving unwanted pregnancies by married and unmarried couples. This study aims to see how the media frames news about illegal abortion, how positive law regulates this act and what the triggers doing illegal abortion. This research is qualitative research with a content analysis approach. The results of the study show that the media tends to be neutral by not taking sides between the perpetrators and the victims. This research also reveals the fact that the high demand of the Indonesian people for an illegal abortion service is at least triggered by two things, the legal system, and social norms applied in Indonesia. The legal system prohibiting abortion in Indonesia is incapable to prevent and provide a deterrent effect against perpetrators of abortion criminalization. In addition, Indonesian society’s system of social norms is very sensitive to immoral cases, such as pregnancy out of wedlock. As a result, many pregnant women who are out of wedlock choose to hide their pregnancies and then secretly carry out illegal abortions.

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Srivastava, Abhishek, and Dr Umesh Kumar Saxena. "Digital Media and Media literacy. An Analysis of the Contribution and Effect of social media in Media Literacy." Indian Journal of Mass Communication and Journalism 3, no. 1 (September 30, 2023): 17–22. http://dx.doi.org/10.54105/ijmcj.a1051.093123.

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In today’s digital world every one is significantly involved in consuming media content with their interest and intent. Now it is proven that most of the time we are accessing the media content through mobile phone or other handy devices through several applications and websites. According to one survey an average kindergartener can access 70 media messages everyday and teens are using one-third of the day in media messages.[1] India is world’s second-largest population and second-largest digital market which is growing drastically in both urban and rural areas. Now India has more than 500 million Internet users and over 450 million smartphone users and one in every three people is consuming video content online. Affordable and easy access to technology and the growth of regional language usage in media content is wonderfully mix the early and new Internet users, which make this market ripe for opportunity in digital media content.[2] India is a 2nd largest number of internet users in the world.[3] As a result a large number of population is shifting towards online and digital platform and it may possible that population is not that much media literate to analyze the critically think on the dissemination and consumption of media message. So this has become necessary to critically insight the term, types and effect of media literacy.

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Zhang, Hong, and Xin Xu. "Nonnegative cross-media recoding of visual-auditory content for social media analysis." Multimedia Tools and Applications 74, no. 2 (March 28, 2014): 577–93. http://dx.doi.org/10.1007/s11042-014-1970-x.

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Kalmah, Kalmah, Endang Larasati, Hartuti Purnaweni, and Kismartini Kismartini. "Policy Content Analysis of Rawapening Lake Management Team." Technium Social Sciences Journal 38 (December 9, 2022): 768–78. http://dx.doi.org/10.47577/tssj.v38i1.7894.

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Rawapening lake is one of multifunction lake in central java province. It is one of the priority lake in Indonesia. Rawapening Lake has been degraded due to its function. The most visible impacts are the decreasing of physical and chemical quality of the lake water and the decreasing of the lake carrying capacity. There have been several policies of Lake management in Indonesia, but most of lakes condition in Indonesia are still degrading. The Governor Decision number 610 was issue in 2019. This policy is about establishment of Rawapening Lake management team form multi stakes holder which consist of steering team, implementing team which consist of five working groups. Since the establishment of Rawapening lake management team, reportedly there has been positive changes in Rawapening condition. The content of this policy can be the key to sustainable lake management in Indonesia. The content analysis of the Rawapening management team is subjected in to three focuses as follows: the duties of steering team, the duties of implementing team, what have the working group done as part of the implementing team.

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Lee, Minjoo, Sunghan Ryu, and Young-Gul Kim. "Media-Content Repertoire Development and Difference Analysis: Focus on the Entertainment Content." Journal of the Korea Contents Association 15, no. 2 (February 28, 2015): 196–207. http://dx.doi.org/10.5392/jkca.2015.15.02.196.

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Tougas, Michelle E., Christine T. Chambers, Penny Corkum, Julie M. Robillard, Anatoliy Gruzd, Vivian Howard, Andrea Kampen, Katelynn E. Boerner, and Amos S. Hundert. "Social Media Content About Children’s Pain and Sleep: Content and Network Analysis." JMIR Pediatrics and Parenting 1, no. 2 (December 11, 2018): e11193. http://dx.doi.org/10.2196/11193.

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Mahajan, Drishti. "Content Analysis of Gift Advertisements." Gyan Management Journal 17, no. 2 (July 6, 2023): 75–89. http://dx.doi.org/10.48165/gmj.2022.17.2.8.

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The objective of this study is to conduct a content analysis of gift themed advertisements that appear in the Indian print media. It seeks to contribute to the neglected area of gift advertising by seeking to understand the practitioners use of the gift theme. Three coders were trained to analyse advertisements on select criteria culled from gifting literature viz., type of product, type of relationship, gift-giving occasion, type of emotional appeal, verbal and visual cues and gender portrayal. The study reveals the limited popularity of the gift theme as a complete years vigil on two popular media vehicles resulted in only 53 usable advertisements. On the elements of type of product featured and gift giving occasion the results are as expected but they are contrary to literature on all the other variables. There is evidence of lack of variety in the use of the gift theme in advertisements. This theory- practice gap in yet another area of marketing is potentially worrisome and the possible reasons for it forwarded in this research need to be verified by future researchers.

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Katerynych, Petro. "Educational journalism in Ukraine (results of content analysis)." Synopsis: Text Context Media 27, no. 2 (2021): 86–95. http://dx.doi.org/10.28925/2311-259x.2021.2.7.

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The article describes theoretical approaches to understanding educational journalism, characterizes the concepts of educational journalism in the Ukrainian and global media space, and builds a model of influence of external factors on the coverage of education issues in the mass media outlets. The tasks of the research are: 1) to study theoretical developments and approaches to the functioning of educational journalism in the media environment; 2) to trace the genre and thematic features of the analyzed educational media outlets (on the example of “Pedpresa”, “Osvita.ua”, “New Ukrainian School”, “Osvitoria”). The research methodology is content analysis of specialized media on educational topics. These media have a regular infill of multigenre and multithematic content of educational topics, actively use tools to create a multimedia content, have a high traffic in the segment of online media educational profile (according to the service statistics “Similar Web”). It was found among the analyzed content of the four online media of educational specialization (3,352 publications) that by the genre structure notes prevail (2,714; 80.9%), there is a lack of reportage (56; 1.7%) and interviews (130; 3.9%). The low number of analytical genres is especially noticeable with regard to the topics of preschool, inclusive and vocational education. A content analysis in Group 1 (2,366 materials, 70.6% of the total sample in the two groups) showed that the largest number of materials during the analyzed period concerned the topics of primary and secondary education (1,131 materials, 47.8%), and the smallest number concerned vocational education (131, 5.5%). Analysis of materials in the Group 2 (29.4% of the materials considered in both groups) showed that the topic of primary education prevails (401 materials, 40.7%), the share of materials relating to distance education is significant (16.7% in “NUS” and 16.9% in “Osvitoria”). Most of the materials of the media “PedPresa” (83%), as well as a significant part of “Osvita.ua” (63%) are borrowed or supplemented by the material from the sites of the MESU, UCEQA or other sources. These results determine the practical value of the study.

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Hurwitz, Lisa B., Aubry L. Alvarez, Alexis R. Lauricella, Thomas H. Rousse, Heather Montague, and Ellen Wartella. "Content analysis across new media platforms: Methodological considerations for capturing media-rich data." New Media & Society 20, no. 2 (August 19, 2016): 532–48. http://dx.doi.org/10.1177/1461444816663927.

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Content analyses sway policy by describing the prevalence of mass media messages and implying effects. However, content-based research focusing ondynamic new media products such as websites, mobile applications, and video games presents methodological challenges. Our team recently conducted a large-scale content analysis exploring food marketing to children across media platforms, in which we captured and analyzed a variety of media-rich content. We consulted multiple sources to form our sampling frame, employed a complex sampling technique to allow for generalization of findings, used screen-capture software to record our exploration of media products, analyzed data using video coding software, and created a custom scale to determine the target audience of certain media products. We believe the steps we have taken may provide valuable insights into aspiring content analysts interested in studying media-rich content and address challenges that have been plaguing content analysts for the past two decades.

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TALDE, DANNA KARYL JANE. "Tabloidization in Philippine Online News Media: A Content Analysis." Journal of Humanities and Social Sciences Studies 4, no. 4 (October 1, 2022): 55–61. http://dx.doi.org/10.32996/jhsss.2022.4.4.9.

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This study is a content analysis of the implication of tabloidization in the top online news sites of the Philippines: Philippine Daily Inquirer (PDI), Manila Bulletin (MB), and Philippine Star (PS). It sought to: determine the amount of tabloidization concepts observed in the three online news sites; and ascertain whether the amount of tabloidization has a significant association with the ranking of the online news sites. It made use of a correlational descriptive research design to acquire data regarding the current status of the phenomenon which is about the infiltration of tabloidization in news media. Also, it is anchored upon the Uses and Dependency theory and Media Dependency theory. Moreover, the study employed quantitative content analysis and purposive sampling method. The findings of the study show that the ranking of the amount of tabloidization concepts is true for all online news sites, with individualism as the highest, followed by drama, entertainment, and political concepts. Moreover, the PDI is found to be the most sensationalized among the three online news sites, followed by PS and MB. Finally, there is an association of the amount of tabloidization to the ranking of the online news sites. With these findings, it is concluded that the use of tabloidization in news media could be a strategy to gain a huge lead in readership and eventually attain the widest market possible.

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Riaz, Saqib. "Government Advertisements — Influence on Print Media Content: A Content Analysis of the Leading Newspapers of Pakistan." Asian Journal of Social Science 35, no. 2 (2007): 154–78. http://dx.doi.org/10.1163/156853107x203414.

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AbstractMost of the books on Journalism, Mass Communication and Media Studies discuss and elaborate the areas of process and the effects of mass communication. These books deal with the effects of media content on people and society but it is equally important to understand the influences that shape media content. Media, not only influence target audience, but themselves are influenced by a number of factors. It has been found by research that media content is influenced by the personal attitudes and orientations of media workers, professionalism, corporate policies, ownership patterns, the economic environment, advertisers, audiences, ideology and above all, the governments (Shoemaker & Reese, 2004:4). This study investigates the influence of Government on print media content in Pakistan based on its advertising power and being the largest advertiser of the country.

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Zamith, Rodrigo, and Seth C. Lewis. "Content Analysis and the Algorithmic Coder." ANNALS of the American Academy of Political and Social Science 659, no. 1 (April 9, 2015): 307–18. http://dx.doi.org/10.1177/0002716215570576.

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To deal with ever-larger datasets, media scholars are increasingly using computational analytic methods. This article focuses on how the traditional (manual) approach to conducting a content analysis—a primary method in the study of media messages—is being reconfigured, assesses what is gained and lost in turning to computational solutions, and builds on a “hybrid” approach to content analysis. We argue that computational methods are most fruitful when variables are readily identifiable in texts and when source material is easily parsed. Manual methods, though, are most appropriate for complex variables and when source material is not well digitized. These modes can be effectively combined throughout the process of content analysis to facilitate expansive and powerful analyses that are reliable and meaningful.

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Kataev, M. Yu, and V. V. Orlova. "Social media event data analysis." Proceedings of Tomsk State University of Control Systems and Radioelectronics 23, no. 4 (December 25, 2020): 71–77. http://dx.doi.org/10.21293/1818-0442-2020-23-4-71-77.

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Social media analysis has become ubiquitous at a quantitative and qualitative level due to the ability to study content from open social networks. This content is a rich source of data for the construction and analysis of the interaction of social network users when forming various groups, used not only for statistical calculations, social areas of analysis, but also in trade or for the development of recommendation systems. The large number of social media users results in a huge amount of unstructured data (by time, type of communication, type of message and geographic location). This article aims to discuss the problem of analyzing social networks and obtaining information from unstructured data. The article discusses information extraction methods, well-known software products and datasets.

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Nistor, Andreea, and Dan Coca. "Media entrepreneurship – a bibliometric analysis." Proceedings of the International Conference on Business Excellence 15, no. 1 (December 1, 2021): 591–600. http://dx.doi.org/10.2478/picbe-2021-0055.

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Abstract The main processes that have an impact on the entrepreneurial media are innovation, promotion of products and services, and the element of novelty. Through technological progress and the dynamism of labor market development, new entrepreneurial directions have emerged, which have seen a rise through the development of media content. Media and entrepreneurship determine new content techniques, resulting in new services and products. This paper aims to highlight the correlation of the media industry with that of entrepreneurship, these being in a close relationship, which results in innovation, creative content, and business development. To this extent, a bibliometric analysis was performed on a corpus of scientific papers, from the Web of Science platform, focusing on media entrepreneurship to determine the current state of knowledge in this area. Furthermore, the analysis reveals the most researched themes and the relevant terminology used. As a selection protocol of the scientific material for media a series of keywords were used, that is: “media”, “internet”, “radio”, “TV”, “newspapers”, “social media”, “journalism” and for entrepreneurship we followed the keywords: “business”, “entrepreneurship” and “entrepreneur”. The results of the analysis showed that the most frequently used terms in media entrepreneurship research studies are: Internet, development, social medium, and business model. In addition to that, media and entrepreneurship seem to be closely researched concerning innovation, economic development, and education.

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Andok, Mónika, Dóra Szilczl, and András Radetzky. "Hungarian Religious Creatives—Comparative Analysis." Religions 14, no. 1 (January 10, 2023): 97. http://dx.doi.org/10.3390/rel14010097.

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The research on the relationship between religion and the media has expanded in the past decades with many new directions, one of which is the examination of the creators of religious media content—more precisely, the exploration of their different role perceptions, commitment, motivations, and goals. Religious content creators are those media producers whose content appears on various media surfaces (printed press, radio, television, film, digital media), regardless of whether they perform their activities as employees of a media company or voluntarily. This study presents the research we conducted among Hungarian religious content creators between 2019 and 2020. The purpose of the study is to develop a well-founded role typology based on the defining features and modes of operation of different role types.

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Ahmad, Rizwan. "Analysis of Media Bias—Glenn Beck TV Shows: A Content Analysis." Journal of Creative Communications 17, no. 1 (November 8, 2021): 67–87. http://dx.doi.org/10.1177/09732586211048990.

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This study provides an overview of the media’s role in shaping public discourse and belief through framing news stories in a biased perspective and setting an agenda that is in keeping with the interests of the corporate and institutional funders of the media apparatus. Support for such an analysis is provided by a literature review that covers many critical aspects of news framing, agenda setting and cultivation theory, especially with respect to the emergence of a new ‘network society’. The ‘content analysis’ approach is utilised to search for biased content via the use of coders and decoders in some 140 randomly selected sampled links of the ‘Glenn Beck’ show during the two periods of time from 1 January 2010 to 30 June 2010, and from 1 January 2011 to 30 June 2011, each of these periods consisting of 70 samples. The results ultimately show that the programme almost unilaterally provides supportive views of moral conservative values, and slight negative portrayals of Muslims. The programme presents critical views of President Obama and his policies, although the finding in opposing Obama’s policies is not statistically significant. The significance of these findings is discussed within the larger context of media bias and its influence on political reality, as well as public discourse and belief; although the study and hence, the findings suggesting ‘bias’ do not represent the entire media industry representing conservative values.

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Mehmood, Shahid, Imran Ahmad, Muhammad Adnan Khan, Faheem Khan, and T. Whangbo. "Sentiment Analysis in Social Media for Competitive Environment Using Content Analysis." Computers, Materials & Continua 71, no. 3 (2022): 5603–18. http://dx.doi.org/10.32604/cmc.2022.023785.

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Huotari, Lauri, Pauliina Ulkuniemi, Saila Saraniemi, and Minna Mäläskä. "Analysis of content creation in social media by B2B companies." Journal of Business & Industrial Marketing 30, no. 6 (July 6, 2015): 761–70. http://dx.doi.org/10.1108/jbim-05-2013-0118.

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Purpose – The present study aims to examine how business-to-business (B2B) marketers can influence content creation in social media. Social media tools are becoming an interesting component of B2B marketing because of the roles of personal relationships and interactions in these markets. However, research has not approached social media content creation from a B2B marketing perspective. Design/methodology/approach – Social media tools are becoming an interesting component of B2B marketing because of the roles of personal relationships and interactions in these markets. However, research has not approached social media content creation from a B2B marketing perspective. The present study examines how B2B marketers can influence content creation in social media. Findings – The paper proposes that B2B firms engaging in social media as part of their marketing efforts should carefully consider the roles and activities of various users, which are directed to and by different internal and external users. B2B companies can influence content creation in social media directly by adding new content, participating in discussions and removing content through corporate user accounts and controlling employee social media behavior or indirectly by training employees to create desired content and performing marketing activities that influence other users to create content that is favorable for the company. Originality/value – The study contributes to the theoretical discussion over B2B marketing communication and the role of social media in it.

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Liauw, Toong Tjiek. "Content Analysis and Its Application with Dynamic Online Content." Jurnal Teknik Industri 24, no. 2 (November 24, 2022): 105–16. http://dx.doi.org/10.9744/jti.24.2.105-116.

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Content analysis is a well-established and widely used research method. In its early form, it was used extensively in the quantitative analysis of newspapers, and its applications later evolved to include electronic media such as radio and television. It has recently been applied to digital media, including the Internet. However, the use of content analysis in analyzing online content has been chiefly applied to static content, such as ‘static’ websites, in the early days of the Internet. Studies that involve its use in analyzing dynamic Internet content—for example, content that resides behind databases—are relatively much less common. This article is not written as a research paper per se. This article will instead discuss reflections on the efficacy of content analysis as a research method when applied to dynamic content such as DRs by using a previous study, which has applied content analysis to the dynamic content of digital repositories (DRs), as a case study. The previous study used as the basis for this article had applied content analysis to several DRs using manual counting by the researcher. In the process, several idiosyncrasies in terms of the way institutions populate their DRs with digital objects and the user metadata to facilitate discoverability of those digital objects were encountered that have introduced some ‘complication.’ This article will focus on how content analysis, as a research method, can be adapted to account for those idiosyncrasies to produce better results. This article will also identify the limitations and challenges of content analysis in dynamic online environments and offer some suggested approaches.

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Smirnova, Olga, Mikhail Shkondin, Galina Denissova, Alina Antipova, and Daniil Ilchenko. "Social Indicators of Conflict in the Context of Media and Journalism: Analysis of the Content of Russian Media." Theoretical and Practical Issues of Journalism 10, no. 3 (September 21, 2021): 422–36. http://dx.doi.org/10.17150/2308-6203.2021.10(3).422-436.

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Conflictology as a field of knowledge is aimed at identifying and substantiating the factors that systematically generate contradictions, social tension, and collisions in the society. At the same time, researchers recognize that media support has become an integral natural part of conflict throughout the process of its development, which gives rise to a media-centric approach to the study of sociocultural conflicts using interdisciplinary means and methodological tools. The purpose of this article is to demonstrate the results of a study analyzing key indicators of conflict-related information agenda in Russian mass media outlets. The leading federal socio-political newspapers Komsomolskaya Pravda, Rossiyskaya Gazeta and Kommersant, as well as online media sources Lenta.Ru and Gazeta.Ru were selected as the object of the research. The period under investigation was January-December 2020. The selection and analysis of publications by keywords was carried out using the information retrieval system for monitoring and analyzing the media "Integrum" and an algorithm based on artificial neural networks word2vec. The original methodology has made it possible to determine the ratio of publications containing conflict as the key notion in the total amount of media reports of the same period, as well as to identify key indicators of conflict-related materials analyzing their main characteristics. The results have shown that Russian media sources chosen as the study sample reveal conflict significantly a lot and the topic semantic field is extremely diverse. The present study may be prototypical for the analysis of indicators of relevant issues and resonant topics in any social sphere. This, in turn, is extremely valuable in situations when mass media becomes a tool for shaping public opinion and consciousness, in terms of both theoretical or scientific importance and quick and effective practical application.

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Journal articles on the topic 'Media content analysis'

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