The Zimbabwe Media commission (ZMC), the statutory body that regulates the press in Zimbabwe, has on several occasions urged media proprietors to prioritise newspapers, or even magazines, in Zimbabwe’s varied indigenous languages. At independence in 1980, the government of Zimbabwe, through its newly created media entity, New Ziana, made strenuous efforts to promote the indigenous language press. Yet, only a handful of these newspapers remain. The few that do are tottering under severe challenges, and they do not show signs of sustainability going forward. Though the government claimed it would intervene to serve the indigenous language press, they have not helped save them. The continued decline of the press – as evidenced by closures, downsizing, staff turnover and many other symptoms – is testimony to the fact that these efforts have been hugely unsuccessful.
Category: 2/ Hard Questions
Hard Questions by Sector
-
Data journalism in the age of big data: An exploration into the uptake of data journalism in leading south African Newspapers
The growing capacity to generate large quantities of data as a result of rapid technological change in the recent past has meant that increasingly, journalists everywhere are under pressure to find new ways of handling this information deluge, processing and packaging it in ways that allow ease of access for their readers. These data blizzards have been further intensified by the ever-expanding social media networks that keep churning out large volumes of information at unprecedented speed, making gathering, processing and packaging information in visualisable form all the more important. The rise of data journalism is in part a direct response to this, as it provides journalists the critical tools to manipulate data on complex issues such as national budgets, election manifestos and national census for innovative storytelling. This chapter explores the emergence of data journalism in South Africa and analyses its …
-
Deep Learning based Automatic Image Caption Generation
The paper aims at generating automated captions by learning the contents of the image. At present images are annotated with human intervention and it becomes nearly impossible task for huge commercial databases. The image database is given as input to a deep neural network (Convolutional Neural Network (CNN)) encoder for generating “thought vector” which extracts the features and nuances out of our image and RNN (Recurrent Neural Network) decoder is used to translate the features and objects given by our image to obtain sequential, meaningful description of the image. In this paper, we systematically analyze different deep neural network-based image caption generation approaches and pretrained models to conclude on the most efficient model with fine-tuning. The analyzed models contain both with and without `attention’ concept to optimize the caption generating ability of the model.
-
The impact of India-UK co-production agreement: A systematic review of transmedia storytelling and business models in films
The concept of transmedia storytelling is unique in the sense that it entails telling different portions of a story on separate media platforms. Furthermore, it varies from other forms of cross-platform distribution. The adaption of transmedia storytelling perspectives and business models in creative co-production ventures is an evolving phenomenon, which presents scarce evidence in extant studies. In the light of the recent India-UK co-production treaty, this paper is aimed at offering a thematic analysis of evidence concerning the transmedia storytelling and business models in films and co-production ventures. The paper reviews existing studies and published work over the past fifty years to suggest a thematic map of research for future research ventures in this fairly under-researched area. Along with several crucial findings, the study confirms that more focused studies in the area will help to form clear assertions about the cultural, artistic, and economical possibilities of the film co-production agreement between the Republic of India and the United Kingdom and bilateral impacts of the same in creative agendas. The study offers crucial practical and theoretical implications for future analysis of the creative progression of co-production elements, which will also map the developmental graph of transmedia evolution, and also the variables involved in the exchange of practice facilities and infrastructure between the two countries.