A big data study of language use and impact in radio broadcasting in China : WestminsterResearch

Publication dates
Title	A big data study of language use and impact in radio broadcasting in China
Type	Journal article
Authors	Ruihua Zhang, Jincheng Zhou, Tao Hai, Shixue Zhang, Marvellous Iwendi, Mohd Asif Shah and Jude Osamor
Abstract	Broadcasting more educating and language-reviving contents are ways radio stations can help revitalize the use of the English language in the Hunan province of China. The challenges faced in communicating in English in Chinese radio stations are majorly caused by the lack of language professionals and linguists in the broadcast stations. The absence of these professionals is a major constraint to the development of the community. The broadcast media can help manage multilingualism through the introduction of new words which would give little or no room for lexicon dearth but would expand the language lexicon. Using the English language during broadcast reduces language dearth, and helps reach a much larger audience, even those not in China. Programmes anchored in English in places where the language is barely spoken enhances the vocabulary, comprehension and language vitality of the listeners. This study examined the impact of the English language used in radio broadcasting using a descriptive Big Data survey research design. The study’s population comprises of the inhabitants of the Hunan province in China, from which a sample of 50 broadcast staff and 150 regular inhabitants was drawn using a stratified random sampling technique. The instrument of data collection was a structured questionnaire with closed questions and a self-structured interview. The sample employed frequency distribution tables, percentages, and charts in the presentation and analysis of data. The results revealed that majority of the respondents in Hunan listened to radio broadcast indicating that the use of English language can have massive impact on the people. The study also found that majority of the respondents use their indigenous languages in their day-to-day activities as well as their schools with English being used majorly only in schools with only English-speaking students. The study recommends, amongst others, that the Broadcasting Corporation of China (BCC) review their policy on the allocated time of broadcast in English languages, and that more English language experts and linguists should be incorporated into the broadcast system.
Article number	28
Journal	Journal of Cloud Computing: Advances, Systems and Applications
Journal citation	12
ISSN	2192-113X
Year	2023
Publisher	Springer Nature
Publisher's version	s13677-023-00399-6.pdf License CC BY 4.0 File Access Level Open (open metadata and files)
Digital Object Identifier (DOI)	https://doi.org/10.1186/s13677-023-00399-6
Web address (URL)	http://dx.doi.org/10.1186/s13677-023-00399-6
Published	03 Mar 2023

Related outputs

Enhanced Image-Based Malware Classification Using Transformer-Based Convolutional Neural Networks (CNNs)
Ashawa, M., Owoh, N., Hosseinzadeh, S. and Osamor, Jude 2024. Enhanced Image-Based Malware Classification Using Transformer-Based Convolutional Neural Networks (CNNs). Electronics. 13 (20) 4081. https://doi.org/10.3390/electronics13204081

Malware Detection Based on API Call Sequence Analysis: A Gated Recurrent Unit–Generative Adversarial Network Model Approach
Owoh, Nsikak, Adejoh, J., Hosseinzadeh, S., Ashawa, M., Osamor, Jude and Qureshi, Ayyaz 2024. Malware Detection Based on API Call Sequence Analysis: A Gated Recurrent Unit–Generative Adversarial Network Model Approach. Future Internet. 16 (10), p. 369. https://doi.org/10.3390/fi16100369

Digital Forensics Challenges in Cyberspace: Overcoming Legitimacy and Privacy Issues Through Modularisation
Ashawa, M., Mansour, A., Riley, J., Osamor, J. and Owoh, N.P. 2024. Digital Forensics Challenges in Cyberspace: Overcoming Legitimacy and Privacy Issues Through Modularisation. Cloud Computing and Data Science. 5 (1), pp. 140-156. https://doi.org/10.37256/ccds.512024

An Adaptive Temporal Convolutional Network Autoencoder for Malicious Data Detection in Mobile Crowd Sensing
Nsikak Owoh, Jackie Riley, Moses Ashawa, Salaheddin Hosseinzadeh, Anand Philip and Jude Osamor 2024. An Adaptive Temporal Convolutional Network Autoencoder for Malicious Data Detection in Mobile Crowd Sensing. Sensors. 24 (7) 2353. https://doi.org/10.3390/s24072353

An Exploration of shared code execution for malware analysis
Moses Ashawa, Nsikak Pius Owoh, Jackie Riley, Jude Osamor and Salaheddin Hosseinzadeh 2024. An Exploration of shared code execution for malware analysis. 2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA). Victoria, Seychelles 01 - 02 Feb 2024 IEEE . https://doi.org/10.1109/acdsa59508.2024.10467679

Preprint: Enhancing Credit Card Fraud Detection: An Ensemble Machine Learning Approach
Abdul Rehman Khalid, Nsikak Owoh, Omair Uthmani, Moses Ashawa, Jude Osamor and John Adejoh 2024. Preprint: Enhancing Credit Card Fraud Detection: An Ensemble Machine Learning Approach. Preprints.org. https://doi.org/10.20944/preprints202312.1007.v1

Enhancing Credit Card Fraud Detection: An Ensemble Machine Learning Approach
Abdul Rehman Khalid, Nsikak Owoh, Omair Uthmani, Moses Ashawa, Jude Osamor and John Adejoh 2024. Enhancing Credit Card Fraud Detection: An Ensemble Machine Learning Approach. Big Data and Cognitive Computing. 8 (1) 6. https://doi.org/10.3390/bdcc8010006

Vehicular Propagation Velocity Forecasting Using Open CV
Udayan Das, Vandana Sharma, Madhabananda Das, Sushruta Mishra, Celestine Iwendi and Jude Osamor 2023. Vehicular Propagation Velocity Forecasting Using Open CV. 2023 4th International Conference on Computation, Automation and Knowledge Management (ICCAKM). Dubai, United Arab Emirates 12 - 13 Dec 2023 IEEE . https://doi.org/10.1109/iccakm58659.2023.10449587

Twitter Sentiment Analysis and Emotion Detection Using NLTK and TextBlob
Nehal, Divyank Jeet, Vandana Sharma, Sushruta Mishra, Celestine Iwendi and Jude Osamor 2023. Twitter Sentiment Analysis and Emotion Detection Using NLTK and TextBlob. 2023 4th International Conference on Computation, Automation and Knowledge Management (ICCAKM). Dubai, United Arab Emirates 12 - 13 Dec 2023 IEEE . https://doi.org/10.1109/iccakm58659.2023.10449540

Design and Implementation of an Optimized Mask RCNN Model for Liver Tumour Prediction and Segmentation
Raman Thakur, Dayal Rohan Volety, Vandana Sharma, Sushruta Mishra, Celestine Iwendi and Jude Osamor 2023. Design and Implementation of an Optimized Mask RCNN Model for Liver Tumour Prediction and Segmentation. 2023 4th International Conference on Computation, Automation and Knowledge Management (ICCAKM). Dubai, United Arab Emirates 12 - 13 Dec 2023 IEEE . https://doi.org/10.1109/iccakm58659.2023.10449653

Sustainable Climatic Metrics Determination with Ensemble Predictive Analytics
Ashis Pattanaik, Vandana Sharma, Kanhaiya Kunj, Sushruta Mishra, Celestine Iwendi and Jude Osamor 2023. Sustainable Climatic Metrics Determination with Ensemble Predictive Analytics. 2023 4th International Conference on Computation, Automation and Knowledge Management (ICCAKM). Dubai, United Arab Emirates 12 - 13 Dec 2023 IEEE . https://doi.org/10.1109/iccakm58659.2023.10449578

The Impact of Cyber Threats on the Global Food Supply Chain: a Focus on Grain Storage Security
Aliyu Yisa, Mohammed Gana Yisa, Jude Osamor and Mohammed Yisa 2023. The Impact of Cyber Threats on the Global Food Supply Chain: a Focus on Grain Storage Security. Authorea. https://doi.org/10.22541/au.169511622.28532721/v1

Preprint: Higher Education Perceived Stress and Physical Stress: Big Data Analysis
Ruihua Zhang, Jincheng Zhou, Tao Hai, Shixue Zhang, Jude Osamor, Marvellous GodsPraise Iwendi and Mohammad Shah 2022. Preprint: Higher Education Perceived Stress and Physical Stress: Big Data Analysis. Research Square. https://doi.org/10.21203/rs.3.rs-2146058/v1

A novel trust-based security and privacy model for Internet of Vehicles using encryption and steganography
Manjari Singh Rathore, M. Poongodi, Praneet Saurabh, Umesh Kumar Lilhore, Sami Bourouis, Wajdi Alhakami, Jude Osamor and Mounir Hamdi 2022. A novel trust-based security and privacy model for Internet of Vehicles using encryption and steganography. Computers and Electrical Engineering. 102 108205. https://doi.org/10.1016/j.compeleceng.2022.108205

Inferences Derived from Reservoir Permeability Estimation Using Static and Dynamic Data: Core Data Analysis Versus Drawdown Tests
Francis Nwabia, Jude Osamor, Robinson Madu, Nkemakolam Izuwa and Anthony Chikwe 2021. Inferences Derived from Reservoir Permeability Estimation Using Static and Dynamic Data: Core Data Analysis Versus Drawdown Tests. in: Jia'en Lin (ed.) IPPTC 2021: Proceedings of the 2021 International Petroleum and Petrochemical Technology Conference Springer Nature. pp. 184-196

Permalink - https://westminsterresearch.westminster.ac.uk/item/w80v6/a-big-data-study-of-language-use-and-impact-in-radio-broadcasting-in-china

A big data study of language use and impact in radio broadcasting in China

Related outputs

Share this

Usage statistics

Export as