Electronic Theses and Dissertations (Masters)

Permanent URI for this collectionhttps://hdl.handle.net/10539/37997

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A computational study of media bias in South African online political news reporting over the period 2021 - 2023
(University of the Witwatersrand, Johannesburg, 2024) Ngwenya, Nonhlanhla Nomusa; Alence, Rod
The study examined the presence of tonality bias in South African political news reporting over the period 2021 until mid-2023. The study employed the methods of the Lexicoder Sentiment Dictionary, a lexical-based method, and Latent Semantic Scaling, a semi-supervised machine learning method. Sentiment was utilised as a proxy for tonality. Online commercial media publishers were contrasted against the state-owned news publisher to ascertain how online news reporting contributed to shaping the national agenda, and the framing of political actors and their respective political parties. The Lexicoder Sentiment Dictionary and the Latent Semantic Scaling evidenced that commercial media publishers exhibited positive tonality bias for the Democratic Alliance during the 2021 Municipal Elections. South African media publishers were found to exhibit consistent negative tonality bias when reporting on protest action. The state-owned media publisher was found to drive a pro ruling party sentiment whereas commercial media publishers’ sentiment was anti- populist and agenda-setting. The congruency in political news reporting gave grounds to the call for diversity in publishing
Determinants of Adaptation and Insurance Uptake among Small-Scale Farmers in Kenya
(University of the Witwatersrand, Johannesburg, 2024) Segone, Tshepiso; Alence, Rod
Despite the costs associated with climate-related damage and loss, WII uptake remains low among small-scale, Kenyan farmers. Many of these farmers continue to opt for traditional adaptive and mitigative strategies in the wake of climate-related challenges, despite the many known benefits insurance has for climate resilience. Thus, the study seeks to understand the determinants of insurance uptake, and to measure the relationship between these determinants and agricultural output, using a binary regression model. Overall, the study underscores the complex interplay of socio-economic, cultural, and environmental factors shaping farmers’ adaptation decisions in Kenya and highlights the need for targeted interventions to enhance insurance uptake and promote effective climate strategies
Exploring Personality Structure in South Africa: A Text Mining Approach
(University of the Witwatersrand, Johannesburg, 2024-03-15) Gama, Beauty; Alence, Rod; Laher, Sumaya
Physical expression, behavioural attributes and social relations of an individual can often be studied through personality traits. This has made personality research a relevant aspect of gaining a deeper understanding of people in various contexts, for clinical reasons as well as social relatability. Trait theory has been fundamental in utilizing statistical methods such as factor analysis to construct the personality models that currently exist. The Five Factor Model (FFM) is amongst the most widely accepted of these trait theory models. Personality assessment instruments are developed as operationalisations of these models. These include the Goldberg Adjective Checklist, the South African Personality Inventory (SAPI), and the Chinese Personality Assessment Inventory (CPAI). Recently, naturally occurring data like social media statuses or Facebook Posts are being considered as data examining personality structure. This study aims to explore personality structure data obtained from South African literary texts and text mining techniques. Various techniques of text mining such as parts of speech tagging, and unsupervised and supervised LDA topic modelling were applied to 60 South African literary texts. While topic modelling showed limitations when used in an unsupervised manner, when guided by thematic clusters it presented comprehensible trait classifications that fit with the clusters as defined by the FFM. The instances where there was no fit corresponded with the literature which demonstrates poor fit for those constructs in African constructs. The results also showed that there is a difference in the expression of personality traits between men and women with the differences concurring with those found in the broader literature on gender differences across personality. While the text corpus for this study was small, there is evidence to suggest that text mining techniques could be used to assist in research on personality structure. Text mining is an approach that requires further research as it can be useful in dealing with large data that is naturally occurring to provide a better contextual exploration of personality.
Studying Political Discourse at COP Using Text Mining
(University of the Witwatersrand, Johannesburg, 2023-07) Meletakos, Christina; Eyita-Okon, Ekeminiabasi; Alence, Rod
Climate change has become one of the most pressing issues of our time and it is increasingly important for nations to come together and address the crisis. Every year since 1995, countries from around the world congregate at COP (Conference of the Parties) in the attempt to find consensus on how to tackle the problem. This dissertation studies the political speeches given by country representatives at the conference. 552 transcripts were used to perform multiple analyses. A sentiment study showed that the majority of speeches were overwhelmingly positive, and that the language used by delegates showed that they wanted to come across as being trustworthy and knowledgeable. Wordscores illustrated that prior to 2016, speeches were more alike. At the onset of US President Donald Trump’s announcement that he was pulling out of the Paris Agreement, most countries turned away from the US’ positioning. While a narrative of marketization was prevalent, it was the nationalist discourse used by the president that deterred countries. Lastly a regression model was run which showed that GDP, population, and region played an important part in how a country positioned itself on the world stage.
The Influence of Perceived Opportunities and Perceived Capabilities on Entrepreneurial Activity in Sub-Saharan Africa
(University of the Witwatersrand, Johannesburg, 2024) Kgomo, Tshegofatso; O’Donovan, Michael; Alence, Rod
This research examines the impact of perceived opportunities and capabilities on entrepreneurial activities in Sub-Saharan Africa. It uses logistic regression to analyse available data on the region from the Global Entrepreneurship Monitor, which consists of survey data from South Africa. The analysis reveals that perceived opportunities do not significantly influence entrepreneurial activities within both the formal and informal sectors. However, perceived capabilities are pivotal in driving entrepreneurial activities. Further analysis incorporating control variables such as gender, age, educational levels, and employment status indicated that educational attainment does not have a relationship with entrepreneurial activity and age and employment status are negatively associated with entrepreneurial activity. Thus, this study challenges the prevailing notion that opportunity recognition predominantly fosters entrepreneurship in Sub-Saharan Africa, highlighting instead the critical role of perceived personal capabilities in entrepreneurial ventures.
The Role of International Commitments in Combating the Illicit Distribution of Cocaine
(University of the Witwatersrand, Johannesburg, 2024) Bacta, Raquel; Alence, Rod
Theoretical studies claim that states’ adherence to international drug control treaties may impact the enforcement of cocaine seizure regulations. However, this study found no significant relationship between commitment to United Nations Conventions and cocaine seizures. The study employed two multi-level regression models to investigate the poten- tial correlation between state adherence to drug control conventions and cocaine seizures between 1996 and 2019. The results suggest that other factors, such as Gross Domestic Product (GDP), trade openness, military expenditure, and governance indicators, may play a more important role in explaining the variation in cocaine seizures. Furthermore, the findings imply that practical outcomes may not meet expectations despite efforts to ad- here to international agreements on drug control. Other factors such as national interests, domestic politics, and resource allocation might play a more crucial role in determining the effectiveness of drug control measures. Therefore, comprehensive strategies beyond gov- ernance indicators alone are necessary to address drug trafficking, requiring multifaceted approaches considering socio-economic dynamics, law enforcement capabilities, and inter- national cooperation.
The Role of Natural Disasters in Shaping Individual Perceptions of Climate Change in Africa
(University of the Witwatersrand, Johannesburg, 2023-11-13) Van Niekerk, Courtney; Alence, Rod
This paper explores the relationship between individual perceptions of climate change and natural disasters in African states. This paper uses both qualitative and quantitative research methodology to explore 33 African states by observing the climate change perceptions as well as climate risk experienced by individuals through natural disasters. By using subnational Afrobarometer survey data and corresponding subnational natural disaster data, this paper finds individuals who have experienced natural disasters are less likely to express concerns for climate change.