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From the Classroom to the African Newsroom: How Journalism Education Can Bridge the Gap between the Classroom and the Shrinking Newsroom

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  • Durban University of Technology/Rhodes University (Research Associate)
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This chapter examines the dynamics of financing in the Ghanaian media, focusing on revenue inflows, revenue strategies, and the factors impacting the financial health of the media. Ultimately, it makes a pronouncement on the financial health of the Ghanaian media. It is premised on the idea that the capacity of the media to deliver on their democratic and developmental mandates is directly linked to their finances and how that positions them to work independently. It used a mixed methods design combining content analysis and key informant interviews to gather evidence. The chapter reports that the overall financial health of the media is unstable and, at best, operating at break-even levels. The financial viability of the media is threatened by the poor Ghanaian economy, technology-driven pressures, industry saturation and the effects of the COVID-19 pandemic. The chapter also reports on the strategies by the media to expand their revenue sources and inflows. It concludes by recommending regulatory interest in sustainability planning by media organisations.
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This study scrutinized the prevailing platform wherein change management is being practiced in Ethiopian Higher Education Institutions (EHEIs) as per the theoretical argument of implementing change programs with their long-term consequences in mind. In this study the researcher investigated the change management protocol of Ethiopian Higher Education Institutions (EHEIs) since the education sector is identified as the key to unlocking the economic potentials of the country. However, the sector is earnestly constrained by a number of factors which include, but not limited to, poor change management protocols. Hence, in this study the researcher aspired to make a theoretical contribution to the body of knowledge related to change management protocols in EHEIs. In view of that, this research is fundamentally designed to observe the change management protocol of EHEIs; and put forward change management practices that bring about sustainable development in the institutions and beyond. Thus, the study primarily focused on identifying effective leadership styles to be followed during periods of change and how it can generate positive change that helps the attainment of sustainable developmental goals in EHEIs. The paper also discussed leaders' roles and deeds for effective management of change. A qualitative approach based on an extensive review of relevant literature is used to draw conclusions and recommendations. Accordingly, comprehensive enquiry of the data collected for the purpose of this study revealed that the development of new knowledge or insights that have the potential to influence behavior is the most important success factor for effective sustainable development. On the other hand, failure to progressively institutionalize change initiatives is the core cause why change initiatives often fail in EHEIs. The research findings, therefore, disclose that organizational learning should take place within the wide institutional context of inter-organizational relationships and an organization's acquisition of understanding, know-how, techniques and practices of any kind of change and by any means need to be stimulated. Conclusively, the paper stresses that effective leadership is the key to success of every organization, for EHEIs to achieve sustainable development, the senior management of the institutions have greater role to play. Turning institutions to learning organizations and adoption of transformational leadership style are recommended for effective change management process.
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The differential spread and impact of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), causing Coronavirus Disease 2019 (COVID-19), across regions is a major focus for researchers and policy makers. Africa has attracted tremendous attention, due to predictions of catastrophic impacts that have not yet materialized. Early in the pandemic, the seemingly low African case count was largely attributed to low testing and case reporting. However, there is reason to consider that many African countries attenuated the spread and impacts early on. Factors explaining low spread include early government community-wide actions, population distribution, social contacts, and ecology of human habitation. While recent data from seroprevalence studies posit more extensive circulation of the virus, continuing low COVID-19 burden may be explained by the demographic pyramid, prevalence of pre-existing conditions, trained immunity, genetics, and broader sociocultural dynamics. Though all these prongs contribute to the observed profile of COVID-19 in Africa, some provide stronger evidence than others. This review is important to expand what is known about the differential impacts of pandemics, enhancing scientific understanding and gearing appropriate public health responses. Furthermore, it highlights potential lessons to draw from Africa for global health on assumptions regarding deadly viral pandemics, given its long experience with infectious diseases.
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Journalism, more so than other professions, is entangled with technology in a unique and profoundly impactful way. In this context, the technological developments of the past decades have fundamentally impacted the journalistic profession in more ways than one, opening up new possibilities and simultaneously creating a number of concerns for people working in the media industry. The changes that were brought about by the rise of automation and algorithmic technology can mainly be observed in four distinct fields of application within journalism: automated content production, data mining, news dissemination and content optimization. This article focuses on algorithmic journalism and aims to highlight the ways that algorithmic technology is being utilized within those fields, as well as pointing out the ways in which these developments have altered the way journalism is being exercised in the modern world. The study also discusses challenges related to these technologies that are yet to be addressed, as well as potential future implementations related to algorithmic journalism that have the capacity to improve on the foundation of automation in the news industry.
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The article discusses journalism education affected by the increased information scope, media convergence and introduction of new online teaching forms and face-to-screen communication during the coronavirus pandemic. Since the introduction of distance learning at universities, the quality of teaching and learning has been debated by students, teaching staff and officials. By having to overcome the difficulties, the students majoring in Journalism develop a necessary skill of gathering information and issuing school newspapers, radio and TV programs in the new informational reality of the crisis. The study included a survey aimed at finding out how students and faculty assess effectiveness of distance learning in COVID-19 context. Using a method of case study to make a complex analysis, the authors examine the academic process at the RUDN’s Department of Mass Communications as empirical object. The survey results reveal the key problems the respondents had to face when organizing and participating in the online learning process. The survey also helped to indicate the most convenient applications for online lecturing and the most effective teaching techniques, and to analyze the performance of the university’s internal telecommunication learning and information system.
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Objective To directly measure the fatal impact of coronavirus disease 2019 (covid-19) in an urban African population. Design Prospective systematic postmortem surveillance study. Setting Zambia’s largest tertiary care referral hospital. Participants Deceased people of all ages at the University Teaching Hospital morgue in Lusaka, Zambia, enrolled within 48 hours of death. Main outcome measure Postmortem nasopharyngeal swabs were tested via reverse transcriptase quantitative polymerase chain reaction (PCR) against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Deaths were stratified by covis-19 status, location, age, sex, and underlying risk factors. Results 372 participants were enrolled between June and September 2020; PCR results were available for 364 (97.8%). SARS-CoV-2 was detected in 58/364 (15.9%) according to the recommended cycle threshold value of <40 and in 70/364 (19.2%) when expanded to any level of PCR detection. The median age at death among people with a positive test for SARS-CoV-2 was 48 (interquartile range 36-72) years, and 69% (n=48) were male. Most deaths in people with covid-19 (51/70; 73%) occurred in the community; none had been tested for SARS-CoV-2 before death. Among the 19/70 people who died in hospital, six were tested before death. Among the 52/70 people with data on symptoms, 44/52 had typical symptoms of covid-19 (cough, fever, shortness of breath), of whom only five were tested before death. Covid-19 was identified in seven children, only one of whom had been tested before death. The proportion of deaths with covid-19 increased with age, but 76% (n=53) of people who died were aged under 60 years. The five most common comorbidities among people who died with covid-19 were tuberculosis (22; 31%), hypertension (19; 27%), HIV/AIDS (16; 23%), alcohol misuse (12; 17%), and diabetes (9; 13%). Conclusions Contrary to expectations, deaths with covid-19 were common in Lusaka. Most occurred in the community, where testing capacity is lacking. However, few people who died at facilities were tested, despite presenting with typical symptoms of covid-19. Therefore, cases of covid-19 were under-reported because testing was rarely done not because covid-19 was rare. If these data are generalizable, the impact of covid-19 in Africa has been vastly underestimated.
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Objectives Limited SARS CoV 2 testing in many African countries has constrained availability of data on the impact of COVID-19 (CV19). To address this gap, we conducted a systematic post-mortem surveillance study to directly measure the fatal impact of CV19 in an urban African population. Design We enrolled deceased individuals at the University Teaching Hospital (UTH) Morgue in Lusaka, Zambia. We obtained nasopharyngeal swabs for testing via reverse-transcriptase quantitative PCR (RT-qPCR) against the SARS-2 Coronavirus. We stratified deaths by CV19 status, by location, age, sex, and underlying risk factors. Setting UTH is Zambia’s largest tertiary care referral hospital and its morgue registers ∼80% of Lusaka’s deaths. Participants Participants of all ages were enrolled if within 48 hours of death and if the next of kin or representative provided written informed consent. Results We enrolled 372 participants between June and September 2020, and had PCR results for 364 (99.5%). CV19 was detected in 70/364 (19.2%). The median age for CV19+ deaths was 48 years (IQR 36-72 years) and 70% were male. Most CV19+ deaths (51/70, 72.8%) occurred in the community; none had been tested for CV19 antemortem. Among the 19/70 facility deaths, six were tested antemortem. Among the 52/70 CV19 deaths with symptoms data, 44/52 had typical symptoms of CV19 (cough, fever, shortness of breath), of whom only five were tested antemortem. We identified CV19 among seven children; only one had been tested antemortem. The proportion of CV19+ deaths increased with age, but 75.7% of CV19+ deaths were aged <60 years. The five most common co-morbidities among CV19+ deaths were: tuberculosis (31.4%); hypertension (27.1%); HIV/AIDS (22.9%); alcohol use (17.1%); and diabetes (12.9%). Conclusions Contrary to expectations, CV19+ deaths were common in Lusaka. The majority occurred in the community where testing capacity is lacking. Yet few who died at facilities were tested, despite presenting with typical symptoms of CV19. Therefore, CV19 cases were under reported because testing was rarely done, not because CV19 was rare. If our data are generalizable, the impact of CV19 in Africa has been vastly underestimated.
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