Mass Communication Research Trends from 1980 to 1999

2003 ◽  
Vol 80 (1) ◽  
pp. 7-27 ◽  
Author(s):  
Rasha Kamhawi ◽  
David Weaver
Keyword(s):  
Mass Communication ◽  
Quantitative Methods ◽  
Meta Analysis ◽  
Research Trends ◽  
Research Articles ◽  
Funding Source ◽  
Communication Research ◽  
Time Period ◽  
The University ◽  
Private Support

This is a thematic meta-analysis of research trends in major mass communication journals during the 1980 to 1999 period. We analyzed study method, medium and area of focus, theoretical approach, funding source, and time period covered in research articles published in ten major mass communication journals during this twenty-year period. Predictions made about mass communication research in the 1990s were tested. We found that qualitative research methods continued to be much less common than quantitative methods throughout the period. Funding for research was relatively rare, with the university becoming the main source and private support decreasing significantly in the 1990s. The implications of such trends are discussed.

Characteristics of the least-cited and most-cited articles in ophthalmology journals: A pilot study

2021 ◽  
pp. 112067212110425
Author(s):  
Parth A Patel ◽  
Rhea Gopali ◽  
Anvith Reddy ◽  
Kajol K Patel
Keyword(s):  
Conflict Of Interest ◽  
Research Productivity ◽  
Citation Count ◽  
Research Articles ◽  
Funding Source ◽  
Exact Test ◽  
Factors Associated ◽  
Time Period ◽  
Equivalent Number ◽  
Number Of Citations

Background: Limited research has examined differences between uncited papers and their most-cited counterparts. By comparing characteristics of each cohort, it is possible to better determine factors associated with increased citation count in the ophthalmology literature. Methods: We initially identified all research articles published in six popular general ophthalmology journals ( Ophthalmology, JAMA Ophthalmology, Investigative Ophthalmology and Visual Sciences, American Journal of Ophthalmology, British Journal of Ophthalmology, and Graefe’s Archive for Clinical and Experimental Ophthalmology) between 2001 and 2011. Forty-nine articles were identified as having accrued zero citations as of March 2021 and were compared with an equivalent number of articles with the highest number of citations published in the same journals and time period. Significance ( p < 0.05) for comparisons was determined using the Mann–Whitney U test and Fisher’s exact test. Results: Compared to the least-cited articles, the most-cited articles were significantly more likely to be clinical, multi-institutional, and multi-national in scope, report a statistically significant result, have a conflict of interest, state a funding source, and have higher sample sizes. These publications had significantly more words in the abstract and manuscript and more references. Overall, the first authors of the most-cited articles were significantly more likely to be female and report greater prior research productivity, as assessed by the relative citation ratio (RCR). Conclusion: Considering a small number of articles were uncited at least a decade after publication, it appears most research is useful for future investigations. However, there remain distinct differences between uncited articles and their most-cited equivalents in ophthalmology.

Mobile communication research in communication journals from 1999 to 2014

2017 ◽  
Vol 19 (10) ◽  
pp. 1668-1691 ◽  
Author(s):  
Yonghwan Kim ◽  
Bumsoo Kim ◽  
Youngju Kim ◽  
Yuan Wang
Keyword(s):  
Mobile Communication ◽  
Quantitative Methods ◽  
Theoretical Models ◽  
General Information ◽  
Future Research ◽  
Communication Research ◽  
Theoretical Frameworks ◽  
Mobile Media ◽  
Units Of Analysis ◽  
Time Period

This study examined trends and patterns of mobile communication research across 10 communication journals between 1999 and 2014 with the intent to increase knowledge about mobile communication and to help scholars understand the future research directions. A total of 131 articles were coded for general information about journals, primary topic/context of the study, use of theories or models, research methods, units of analysis/types of sample, and countries or locations. Findings showed that the number of mobile communication-related studies increased over the time period of interest. Scholars examined uses and users’ characteristics of mobile communication as well as the effects of mobile media on everyday life. Most studies used quantitative methods such as survey of the general population. Theories or theoretical models were not frequently used in mobile communication research. Regarding the usage of theories or theoretical models, about half of mobile communication studies (48.1%) used theories and/or models as theoretical frameworks. Implications for improving this field of research are specifically discussed.

Review of New models for mass communication research.

1975 ◽  
Vol 20 (5) ◽  
pp. 431-432
Author(s):  
ANTHONY G. GREENWALD
Keyword(s):  
Mass Communication ◽  
Communication Research ◽  
New Models

Efek dari Pemberitaan CCTV Lalu Lintas Terhadap Sikap Disiplin Berlalu Lintas

2018 ◽  
Vol 1 (2) ◽  
pp. 116-137
Author(s):  
Redi Panuju ◽  
Shintya Oktaviany Aury
Keyword(s):  
Mass Communication ◽  
Quantitative Methods ◽  
Communication Theory ◽  
Hypodermic Needle ◽  
Urban Village ◽  
Underlying Theory ◽  
Traffic Regulation ◽  
The Press ◽  
Traffic Violations ◽  
The Way

Abstract Dishub Surabaya and traffic Unit Polrestabes Surabaya partners  do speeding tickets through CCTV to reduce traffic violations in traffic and prevent accidents frequently happened. For the socialization of the press role is required so that residents will know  this new traffic regulation. The way of the spread CCTV by the way to traffic gridlock around the continuously to be done in make the community become disciplined in the traffic signs and regulations. The underlying theory is a theory of mass communication, theory of hypodermic needle theory, S-O-R theory, discipline theory, theories of adolescence. The methodology that was used this research is quantitative methods with type of correlational quantitative. In this research that are samples are teenagers klampis semalang 96 respondents. From the results of statistics done shows that significantly is the cctv news traffic to discipline attitude traffic in teenagers Klampis Semalang Urban village Klampis Ngasem in Sukolilo Surabaya city. Keywords : news, cctv traffic, discipline traffic

International Archival Auditing and Assurance Research: Trends, Methodological Issues, and Opportunities

2016 ◽  
Vol 35 (3) ◽  
pp. 1-32 ◽  
Author(s):  
Roger Simnett ◽  
Elizabeth Carson ◽  
Ann Vanstraelen
Keyword(s):  
Audit Quality ◽  
Research Trends ◽  
Data Sources ◽  
Quality Data ◽  
Research Articles ◽  
Future Research ◽  
Evidence Based ◽  
Methodological Issues ◽  
Comprehensive Review ◽  
Support Evidence

SUMMARY We present a comprehensive review of the 130 international archival auditing and assurance research articles that were published in eight leading accounting and auditing journals for 1995–2014. In order to support evidence-based international standard setting and regulation, and to identify what has been learned to date, we map this research to the International Auditing and Assurance Standards Board's (IAASB) Framework for Audit Quality. For the areas that have been well researched, we provide a summary of the findings and outline how they can inform standard setters and regulators. We also observe a significant evolution in international archival research over the 20 years of our study, as evidenced by the measures of audit quality, data sources used, and approaches used to address endogeneity concerns. Finally, we identify some challenges in undertaking international archival auditing and assurance research and identify opportunities for future research. Our review is of interest to researchers, practitioners, and standard setters/regulators involved in international auditing and assurance activities.

Data Mining-based Financial Statement Fraud Detection: Systematic Literature Review and Meta-analysis to Estimate Data Sample Mapping of Fraudulent Companies Against Non-fraudulent Companies

2021 ◽  
pp. 097215092098485
Author(s):  
Sonika Gupta ◽  
Sushil Kumar Mehta
Keyword(s):  
Machine Learning ◽  
Data Mining ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Classification Accuracy ◽  
Meta Analysis ◽  
Financial Statement ◽  
Research Articles ◽  
Financial Statement Fraud ◽  
Data Mining Techniques

Data mining techniques have proven quite effective not only in detecting financial statement frauds but also in discovering other financial crimes, such as credit card frauds, loan and security frauds, corporate frauds, bank and insurance frauds, etc. Classification of data mining techniques, in recent years, has been accepted as one of the most credible methodologies for the detection of symptoms of financial statement frauds through scanning the published financial statements of companies. The retrieved literature that has used data mining classification techniques can be broadly categorized on the basis of the type of technique applied, as statistical techniques and machine learning techniques. The biggest challenge in executing the classification process using data mining techniques lies in collecting the data sample of fraudulent companies and mapping the sample of fraudulent companies against non-fraudulent companies. In this article, a systematic literature review (SLR) of studies from the area of financial statement fraud detection has been conducted. The review has considered research articles published between 1995 and 2020. Further, a meta-analysis has been performed to establish the effect of data sample mapping of fraudulent companies against non-fraudulent companies on the classification methods through comparing the overall classification accuracy reported in the literature. The retrieved literature indicates that a fraudulent sample can either be equally paired with non-fraudulent sample (1:1 data mapping) or be unequally mapped using 1:many ratio to increase the sample size proportionally. Based on the meta-analysis of the research articles, it can be concluded that machine learning approaches, in comparison to statistical approaches, can achieve better classification accuracy, particularly when the availability of sample data is low. High classification accuracy can be obtained with even a 1:1 mapping data set using machine learning classification approaches.

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