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Record W3155005467

Research on “Media Literacy”: A Retrospective Analysis from 1970 to 2019

2019· article· en· W3155005467 on OpenAlexaboutno aff
Abbas Ghanbari Baghestan

Bibliographic record

VenueGlobal media journal Australia · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicTechnology-Enhanced Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLiteracyComputer scienceLibrary scienceWorld Wide WebSociologyPedagogy
DOInot available

Abstract

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Extended Abstract   Introduction and Statement of the Problem: The purpose of this study is to describe and analyze the trend of scholarly outputs and growth of “Media Literacy” in Web of Science Core Collection database (WoS) to find countries and regional distributions, and the level of its visibility based on Keywords Plus. A total number of 1,671 documents in WoS with the topic “Media Literacy” from 1970 to 2019 were retrieved and analyzed. The result of the study shows the scientific productivity in “Media Literacy” in the world is not homogeneous and much is left to be required in researches development on “media literacy”. The authors urge scholars in most developing countries to move beyond the exclusive media and communication approach and realize the importance of a multi-disciplinary approach. In 1998, a pioneer in the United States defined media literacy as the process of accessing, critically analyzing media messages and creating a message using media tools. (Hobbs, 1998). In the same year, Brown discusses the media literacy perspectives and highlights that media literacy involves a cognitive process used in critical thinking (Brown, 1998). Since its emerging, also in some developing countries, a very diverse community of scholars and researchers examined media literacy and its implications from each discipline and interdisciplinary point of view. There are good enough number of researches and publications on conceptual and theory building (Alvermann & Hagood, 2000) as well as case study approaches like in preferred media and communication channels (Abbas Ghanbari Baghestan et al., 2009; Indriyanto et al., 2016; Vegiayan et al., 2013) education (Suto & Sakamoto, 2014), children (Hirsjarvi & Tayie, 2011) adolescent (Labas & Males, 2017), rural development (Akar-Vural, 2010) health (Rich, 2004) and healthcare-related program (Akhtari-Zavare et al., 2015) on the globe.   Methodology: Using the Bibliometrics methods, the aim of this study is to discover and describe the trend of scholarly outputs and growth of “media Literacy” publications from 1970 to 2019. Bibliometrics methods have been used to measure scientific progress in many disciplines of science and social science, and are a common research instrument for the systematic analysis of publications. (Farahmand et al., 2018; SM. Etemadifard et al., 2018; Seyed Abolhassan Riazi et al., 2019). The data were collected from the Web of Science Core Collections (WoS) and the only criteria for data collection were the keyword of “Media Literacy”. With the above limitations, in the first stage, 1,671 documents and in the second stage, 642 documents were retrieved and used for data analysis.    Results and Discussion: The annual number of “Media Literacy” publications has grown from 1 in 1980 to 237 in 2016. Also, there was positive growth in the publication each year beginning in 2005. The United States (with total publications 549) is the leading country in terms of total numbers of “media literacy” related publications from early 1970. The rest of the countries in the world, including Spain (212), England (81), China (78), Australia (77) and Russia (71). The diversity of the research area of the publications on “media literacy” was interesting. “Education and Educational Research” was the first research area of all publications related to media literacy; followed by “Communication”, “Psychology”, “Social Sciences” and “Computer Sciences”. The 642 documents which carry “media literacy” in their titles, overall, had the total amount of 4252 citations (average citation per documents was 6.76) which can be considered high in scientific publications. The majority of the documents were in “English” (551 out of 642 documents). Also, most of the documents were in “Article” (64.6%) formats, followed by “proceeding Papers” (20.1%). The time depended on KeyWords Plus shows that “Education”, “TV”, “Adolescent” and “behavior” were the key concepts for conceptualization in this time span. The international collaboration and networking for co-authorship in the area of study also were limited to very few countries only, mainly the United State with few other western countries like Germany, the UK, Canada, and Spain.   Conclusion: The results of the study show the scientific productivity in “Media Literacy” in the world is not homogeneous and much is left to be required in researches development on “media literacy”. The author urges scholars in most developing countries to move beyond the single discipline and approach and realize the importance of multi-disciplinary approaches regionally and internationally. The results of the study also have a lot of implications for countries like Iran where currently has faced a huge number of social media as well as their expand usage among citizens. In the 21st century, citizens need to be trained to deconstruct and analyze the media text as well as engage and challenge media institutions. This is what Hobss (1998) means by “sophisticated citizens” rather than “sophisticated consumers”. Media Literacy, if well understood, might be a more “soft” and positive response to the negative consequence of media influence than those “hard” responds such as banning, filtering and censorship.   Keywords: Media literacy, Retrospective Analysis, Communication, Education, Bibliometric   References Abbas Ghanbari Baghestan, Mehrnoosh Akhtari Zavareh, & Hassan., M. A. (2009). Communication Channels Used by Academic Staff in Interacting with Their Students. Pertanika Journal of Social Sciences and Humanities, 17(2). Akar-Vural, R. (2010). How Rural Schoolchildren and Teachers Read TV Dramas: A Case Study on Critical Media Literacy in Turkey. Urban Education, 45(5), 740-763. doi:10.1177/0042085910377289 Akhtari-Zavare, M., Ghanbari-Baghestan, A., Latiff, L. A., & Khaniki, H. (2015). Breast Cancer Prevention Information Seeking Behavior and Interest on Cell Phone and Text Use: a Cross-sectional Study in Malaysia. Asian Pacific Journal of Cancer Prevention, 16(4), 1337-1341. doi:10.7314/APJCP.2015.16.4.1337 Alvermann, D. E., & Hagood, M. C. (2000). Critical media literacy: Research, theory, and practice in new times. Journal of Educational Research, 93(3), 193-205. doi:10.1080/00220670009598707 Brown, J. A. (1998). Media literacy perspectives. Journal of Communication, 48(1), 44-57. doi:10.1111/j.1460-2466.1998.tb02736.x Farahmand, E., Mariani, M., Ghanbari Baghestan, A., Ale Ebrahim, N., & N., M. (2018). Five Decades of Scientific Development on “Attachment Theory”: Trends and Future Landscape. Pertanika Journal of Social Sciences & Humanities, 26(3), 2145-2160. Ghanbari-Baghestan, A., Indriyanto, S., SazmandAsfaranjan, Y., & Akhtari-Zavare, M. (2016). Preferred communication channels used by students to interact with their lecturers. International Journal of Innovation and Learning, 19(2), 227-241. doi:10.1504/IJIL.2016.074476 Hirsjarvi, I., & Tayie, S. (2011). Children and New Media: Youth Media Participation. A Case Study of Egypt and Finland. Comunicar(37), 99-107. doi:10.3916/c37-2011-03-01 Hobbs, R. (1998). The seven great debates in the media literacy movement. Journal of Communication, 48(1), 16-32. doi:10.1111/j.1460-2466.1998.tb02734.x Labas, D., & Males, D. (2017). Adolescent perception of electronic media ethical values in the context of sociode-mographic characteristics and media literacy. Nova Prisutnost, 15(2), 211-230. Rich, M. (2004). Health literacy via media literacy - Video intervention/prevention assessment. American Behavioral Scientist, 48(2), 165-188. doi:10.1177/0002764204267261. Seyed Abolhassan Riazi, Abbas Ghanbari Baghestan, Aini Ideris, et al. (2019) Science and Technology Diplomacy and the Power of Students: The Case of Iranian Student in Malaysia. Pertanika J. Soc. Sci. & Hum 27 (1): 649-662. SM. Etemadifard, H. Khaniki, A. Ghanbari Baghestan, & Akhtari-Zavare., M. (2018). Iran’s Social Sciences Issues in Web of Science (WoS): Who Said What? Pertanika Journal of Social Sciences and Humanities, 26(2), 1159 - 1174 Suto, H., & Sakamoto, M. (2014). Developing an Education Material for Robot Literacy. In S. Yamamoto (Ed.), Human Interface and the Management of Information: Information and Knowledge in Applications and Services, Pt Ii (Vol. 8522, pp. 99-108). Vegiayan, K. D., Baghestan, A. G., & Asfaranjan, Y. S. (2013). Exploring employees' preference for communication channels. Middle East Journal of Scientific Research, 18(4), 504-511. doi:10.5829/idosi.mejsr.2013.18.4.11710

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesBibliometrics
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.982
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.025
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0180.023
Science and technology studies0.0010.001
Scholarly communication0.0030.004
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.087
GPT teacher head0.474
Teacher spread0.387 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2019
Admission routes1
Has abstractyes

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