The African Journal of Information and Communication (AJIC)最新文献

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Exploring COVID-19 public perceptions in South Africa through sentiment analysis and topic modelling of Twitter posts 通过对推特帖子的情绪分析和主题建模,探索南非公众对COVID-19的看法
The African Journal of Information and Communication (AJIC) Pub Date : 2023-06-30 DOI: 10.23962/ajic.i31.14834
Temitope Kekere, V. Marivate, M. Hattingh
{"title":"Exploring COVID-19 public perceptions in South Africa through sentiment analysis and topic modelling of Twitter posts","authors":"Temitope Kekere, V. Marivate, M. Hattingh","doi":"10.23962/ajic.i31.14834","DOIUrl":"https://doi.org/10.23962/ajic.i31.14834","url":null,"abstract":"The narratives shared on social media during a health crisis such as COVID-19 reflect public perceptions of the crisis. This article provides findings from a study of the perceptions of South African citizens regarding the government’s response to the COVID-19 pandemic from March to May 2020. The study analysed Twitter data from posts by government officials and the public in South Africa to measure the public’s confidence in how the government was handling the pandemic. Results produced by four popular machine-learning classifiers for sentiment analysis— logistic regression (LR), support vector machine (SVM), random forest (RF), and extreme gradient boosting (XGBoost)—demonstrated these classifiers’ levels of effectiveness. In addition, the study used, and evaluated the effectiveness of, two topic-modelling algorithms—latent dirichlet allocation (LDA) and non-negative matrix factorisation (NMF)—in the classification of social media discourses in terms of frequently occurring topics. In terms of South African public sentiment towards COVID-19 and the government’s response, it was found that, based on the Twitter data, South Africans held predominantly negative views.","PeriodicalId":409918,"journal":{"name":"The African Journal of Information and Communication (AJIC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127901386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Competition regulation for digital markets: The South African experience 数字市场的竞争监管:南非的经验
The African Journal of Information and Communication (AJIC) Pub Date : 2023-06-30 DOI: 10.23962/ajic.i31.16013
Simphiwe Gumede, Phathutshedzo Manenzhe
{"title":"Competition regulation for digital markets: The South African experience","authors":"Simphiwe Gumede, Phathutshedzo Manenzhe","doi":"10.23962/ajic.i31.16013","DOIUrl":"https://doi.org/10.23962/ajic.i31.16013","url":null,"abstract":"The study examines the recent experiences of South Africa’s competition authorities in engaging with competition matters in the country’s digital markets. Specifically, the authors examine engagements by the Competition Commission South Africa (CCSA), the Competition Tribunal of South Africa, and the Competition Appeal Court (CAC) with three regulatory elements: (1) mergers, examined through the MIH and WeBuyCars and Google and Fitbit cases; (2) abuse of dominance, examined through the GovChat v Facebook case; and (3) cartel conduct, examined through the Competition Commission v Bank of America Merrill Lynch International Limited & Others case. In reviewing the decisions made in these cases, the authors highlight regulatory considerations that are coming to the fore in response to competition matters in digital markets.","PeriodicalId":409918,"journal":{"name":"The African Journal of Information and Communication (AJIC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128334301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
COVID-19, kovhidhi, dzihwamupengo: Language use, language change, and pandemic perceptions among Shona-speakers in Gweru, Zimbabwe 2019冠状病毒病(COVID-19)、kovhidhi、dzihwamupengo:津巴布韦圭鲁绍纳语使用者的语言使用、语言变化和大流行认知
The African Journal of Information and Communication (AJIC) Pub Date : 2023-06-30 DOI: 10.23962/ajic.i31.13995
Vincent Jenjekwa
{"title":"COVID-19, kovhidhi, dzihwamupengo: Language use, language change, and pandemic perceptions among Shona-speakers in Gweru, Zimbabwe","authors":"Vincent Jenjekwa","doi":"10.23962/ajic.i31.13995","DOIUrl":"https://doi.org/10.23962/ajic.i31.13995","url":null,"abstract":"Through an examination of the linguistic practices encountered and used by Shona language-speakers in the Zimbabwean city of Gweru, this study explores intersections between language use, language change, and perceptions of the COVID pandemic—as caused by the virus referred to by Gweru’s Shona-speakers as, variously, “COVID-19” in its English-language representation or “kovhidhi” or “dzihwamupengo” in its two most common Shona-language representations. The study is anchored in conceptions of the impacts that natural disasters and pandemics have on language and on communication needs, and in theories of semiotics and language change. The research finds that the predominant terms used by Gweru’s Shona-speakers in relation to the pandemic carry connotations that, in the Zimbabwean socio-cultural context, potentially undermine optimal responses to the pandemic. The article concludes by emphasising the importance of careful management of language as a critical resource in the fight against natural disasters and pandemics.","PeriodicalId":409918,"journal":{"name":"The African Journal of Information and Communication (AJIC)","volume":"23 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127564269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A word embedding trained on South African news data 一个在南非新闻数据上训练的词嵌入
The African Journal of Information and Communication (AJIC) Pub Date : 2022-12-23 DOI: 10.23962/ajic.i30.13906
Martin Canaan Mafunda, M. Schuld, K. Durrheim, Sindisiwe Mazibuko
{"title":"A word embedding trained on South African news data","authors":"Martin Canaan Mafunda, M. Schuld, K. Durrheim, Sindisiwe Mazibuko","doi":"10.23962/ajic.i30.13906","DOIUrl":"https://doi.org/10.23962/ajic.i30.13906","url":null,"abstract":"This article presents results from a study that developed and tested a word embedding trained on a dataset of South African news articles. A word embedding is an algorithm-generated word representation that can be used to analyse the corpus of words that the embedding is trained on. The embedding on which this article is based was generated using the Word2Vec algorithm, which was trained on a dataset of 1.3 million African news articles published between January 2018 and March 2021, containing a vocabulary of approximately 124,000 unique words. The efficacy of this Word2Vec South African news embedding was then tested, and compared to the efficacy provided by the globally used GloVe algorithm. The testing of the local Word2Vec embedding showed that it performed well, with similar efficacy to that provided by GloVe. The South African news word embedding generated by this study is freely available for public use.","PeriodicalId":409918,"journal":{"name":"The African Journal of Information and Communication (AJIC)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116743866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Radio, mobile communications, and women’s empowerment: Experiences in Mathare, Nairobi 无线电、移动通信和妇女赋权:内罗毕马萨雷的经验
The African Journal of Information and Communication (AJIC) Pub Date : 2022-12-23 DOI: 10.23962/ajic.i30.13753
Grace Githaiga, Norbert Wildermuth
{"title":"Radio, mobile communications, and women’s empowerment: Experiences in Mathare, Nairobi","authors":"Grace Githaiga, Norbert Wildermuth","doi":"10.23962/ajic.i30.13753","DOIUrl":"https://doi.org/10.23962/ajic.i30.13753","url":null,"abstract":"This article presents findings from a study of young women’s empowerment through the use of information and communication technology (ICT), specifically the use of radio and mobile communications, in the Mathare informal settlements of Nairobi. Data was collected through focus group discussions and in-depth interviews with young women. The findings were extrapolated through the lens of Longwe’s five- stage women’s empowerment framework (Longwe, 1991). Longwe posits that the empowerment of women can be viewed through a prism of ascension, the initial stage being welfare, followed by access, conscientisation, participation, and then control, the highest level of empowerment. The study finds that the use of radio and mobile communications has empowered many young women to engage in conversations on issues affecting them, and with useful information on how to improve their means of livelihood. At the same time, mobile communications have enabled many young women to achieve financial inclusion by engaging in income-generating activities. In addition, mobile communications have empowered young women by providing them with access to financial services and the ability to manage their finances. Such empowerment, when viewed through the Longwe (1991) framework, is a remarkable progression on empowerment by young women through the initial stages up to the highest levels of participation and control. At the same time, the study finds that the empowerment of young women through ICTs is held back to some extent by socioeconomic and cultural factors that are the result of patriarchal traditions and mindsets.","PeriodicalId":409918,"journal":{"name":"The African Journal of Information and Communication (AJIC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129366026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An assessment of website quality at Nigerian polytechnics and colleges of education 对尼日利亚理工学院和教育学院网站质量的评估
The African Journal of Information and Communication (AJIC) Pub Date : 2022-12-23 DOI: 10.23962/ajic.i30.13987
O. Ibhadode, Adeola O. Opesade
{"title":"An assessment of website quality at Nigerian polytechnics and colleges of education","authors":"O. Ibhadode, Adeola O. Opesade","doi":"10.23962/ajic.i30.13987","DOIUrl":"https://doi.org/10.23962/ajic.i30.13987","url":null,"abstract":"This study assessed the quality of the websites of Nigerian polytechnics and colleges of education. Using two web diagnostic tools, SEOptimer and W3C Markup Validation Service, a total of 213 sites were evaluated in terms of six performance indicators: search engine optimisation (SEO), usability, operational performance, social media integration, security, and HTML validation. The weakest performance across the sites of both polytechnics and colleges of education was found to be with respect to social media integration, with the vast majority of sites in both categories making no use of social media. The other two indicators against which sites in both categories of institutions tended to perform poorly were SEO and operational performance. The two areas where the sites in both institutional categories generally scored well were usability and HTML validation. Meanwhile, for the security indicator, the performance was highly variable among both polytechnic and college of education sites, with significant numbers of both strong and weak scores for sites. It was also found that polytechnic sites outperformed college of education sites on SEO to a statistically significant degree (bearing in mind that both categories of sites were weak in this area). It was also found that, among the polytechnic sites, the sites of the state government-owned institutions outperformed, to a statistically significant degree, the sites of the privately owned institutions in their operational performance measure.","PeriodicalId":409918,"journal":{"name":"The African Journal of Information and Communication (AJIC)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115822347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Roles played by Nigerian YouTube micro-celebrities during the COVID-19 pandemic 尼日利亚YouTube微明星在COVID-19大流行期间扮演的角色
The African Journal of Information and Communication (AJIC) Pub Date : 2022-12-23 DOI: 10.23962/ajic.i30.13910
Aje-Ori Agbese
{"title":"Roles played by Nigerian YouTube micro-celebrities during the COVID-19 pandemic","authors":"Aje-Ori Agbese","doi":"10.23962/ajic.i30.13910","DOIUrl":"https://doi.org/10.23962/ajic.i30.13910","url":null,"abstract":"In 2020, during the COVID-19 pandemic, Nigerian social media micro-celebrities were prominent players in the dissemination of information. This study examines the roles that one group of Nigerian micro-celebrities, YouTube video bloggers (vloggers)—also known as “YouTubers”—played during the pandemic. The research analysed the contents of COVID-19-themed videos that 15 popular Nigerian YouTubers posted on their channels between 29 February and 5 August 2020. The study was guided by the two-step flow of communication theory, in terms of which information first flows from mass media to opinion leaders, who then, in the second step, share the information with their audiences. The study found that all 15 YouTubers played positive roles as opinion leaders—by providing health and safety information on COVID-19, challenging myths, and educating audiences through entertainment. Only two of the YouTubers studied were found to have shared some information that misinformed their audiences about the virus and how to fight it. The study therefore concluded that Nigerian YouTubers, as opinion leaders, can be important allies to governments and organisations when health crises arise in the country.","PeriodicalId":409918,"journal":{"name":"The African Journal of Information and Communication (AJIC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125699300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Understanding state-level variations in India’s digital transformation 了解印度数字化转型中各邦的差异
The African Journal of Information and Communication (AJIC) Pub Date : 2022-12-23 DOI: 10.23962/ajic.i30.15082
Smriti Parsheera
{"title":"Understanding state-level variations in India’s digital transformation","authors":"Smriti Parsheera","doi":"10.23962/ajic.i30.15082","DOIUrl":"https://doi.org/10.23962/ajic.i30.15082","url":null,"abstract":"India’s digital transformation is often described in terms of the country’s vast internet penetration, growing mobile connectivity, and widespread uptake of digital payments and other online services. Undoubtedly, India has made tremendous progress on all these fronts over the last few years. But digitalisation narratives founded upon aggregate national statistics bear the risk of assuming a homogeneity of digital access and experience in the country. This article highlights some of the state-level differences in digital access, skills, and infrastructure across India—as a basis for dispelling assumptions about the homogeneity and universality of India’s digital transformation. The article draws attention to the varying levels of digital readiness within India, and to the need to account for these variations in the design and implementation of the country’s digital initiatives.","PeriodicalId":409918,"journal":{"name":"The African Journal of Information and Communication (AJIC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130267733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Using machine learning to predict low academic performance at a Nigerian university 使用机器学习来预测尼日利亚一所大学的低学习成绩
The African Journal of Information and Communication (AJIC) Pub Date : 2022-12-23 DOI: 10.23962/ajic.i30.14839
Ebiemi Allen Ekubo, B. M. Esiefarienrhe
{"title":"Using machine learning to predict low academic performance at a Nigerian university","authors":"Ebiemi Allen Ekubo, B. M. Esiefarienrhe","doi":"10.23962/ajic.i30.14839","DOIUrl":"https://doi.org/10.23962/ajic.i30.14839","url":null,"abstract":"This study evaluates the ability of various machine-learning techniques to predict low academic performance among Nigerian tertiary students. Using data collected from undergraduate student records at Niger Delta University in Bayelsa State, the research applies the cross-industry standard process for data mining (CRISP-DM) research methodology for data mining and the Waikato Environment for Knowledge Analysis (WEKA) tool for modelling. Five machine-learning classifier algorithms are tested—J48 decision tree, logistic regression (LR), multilayer perceptron (MLP), naïve Bayes (NB), and sequential minimal optimisation (SMO)—and it is found that MLP is the best classifier for the dataset. The study then develops a predictive software application, using PHP and Python, for implementation of the MLP model, and the software achieves 98% accuracy.","PeriodicalId":409918,"journal":{"name":"The African Journal of Information and Communication (AJIC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134178238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Evaluation of ABET accreditation path for a representative African undergraduate computer science programme 非洲代表性计算机科学本科课程ABET认证路径评估
The African Journal of Information and Communication (AJIC) Pub Date : 2022-12-23 DOI: 10.23962/ajic.i30.14106
R. Greenlaw, K. Mufeti
{"title":"Evaluation of ABET accreditation path for a representative African undergraduate computer science programme","authors":"R. Greenlaw, K. Mufeti","doi":"10.23962/ajic.i30.14106","DOIUrl":"https://doi.org/10.23962/ajic.i30.14106","url":null,"abstract":"As of the beginning of 2022, only four of 54 countries in Africa had programmes accredited by ABET—the widely used international accreditation body for tertiary education programmes in computing, engineering, applied and natural sciences, and engineering technology. This article provides results from an evaluation of a representative non-ABET-accredited African undergraduate computer science programme—the University of Namibia (UNAM) Bachelor of Science (BSc) in Computer Science—in terms of its potential for ABET accreditation. The study evaluates the UNAM programme against ABET’s General Criteria (GC), and also against ABET’s computer science Program Criteria (PrCr), in order to determine the steps UNAM would need to take were it to seek ABET accreditation for the programme. The authors also evaluate the level of difficulty that each of the steps would likely involve. The authors’ evaluation aims to be replicable, so as to provide a potential tool for use by any African higher education entity seeking ABET accreditation for a learning programme.","PeriodicalId":409918,"journal":{"name":"The African Journal of Information and Communication (AJIC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121117455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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