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Social Media and the COVID-19: South African and Zimbabwean Netizens’ Response to a Pandemic Mutanga, Murimo Bethel; Ureke, Oswelled; Chani, Tarirai
Indonesian Journal of Information Systems Vol 4, No 1 (2021): August 2021
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v4i1.4338

Abstract

Since the end of 2019, the world faced a major health crisis in the form of the Coronavirus (COVID-19) pandemic. To mitigate the impact of the pandemic, governments across the globe instituted measures such as restricting local and international travel and in many cases, ordering citizens to stay indoors. Considering the social and economic impact of these restrictions it becomes crucial to investigate internet citizens’ (netizens) perception about the precautionary measures adopted. The study is anchored in the digital public sphere theory, which treats social media applications as virtual platforms where netizens commune to share ideas and debate about issues that affect them. Social media platforms already have critical public views on the current pandemic. However, the majority of this data is unstructured and difficult to interpret. Natural language processing (NLP), on the other hand, makes the task of gathering and analysing vast amounts of textual data feasible. Extracting structured knowledge from natural language, however, comes with unique challenges due to diverse linguistic properties including abbreviation, spelling mistakes, punctuations, stop words and non-standard text. In this work, The Latent Dirichlet Allocation (LDA) algorithm was applied to tweeter data to extract topics discussed by netzens from Zimbabwe and South Africa.  The primary focus of this paper, is to comparatively explore the variety of topics that occupied twitter communities from the two countries. We examine whether or not the national identities that define and differentiate citizens of these countries also exist on Twitter as evident in the emerging topics. Furthermore, this work investigated public opinion by analysing how citizens discuss the issues around the COVID-19 pandemic on social media
Information Cascades in Professional Networks: A Graph-Based Study of LinkedIn Post Engagement Revesai, Zvinodashe; Mutanga, Murimo Bethel; Chani, Tarirai
Journal of Applied Informatics and Computing Vol. 9 No. 4 (2025): August 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i4.10212

Abstract

Information cascades in professional networks represent a critical mechanism for knowledge transfer and career development, yet their dynamics remain poorly understood. This study presents a comprehensive empirical analysis of information cascades in LinkedIn professional networks, focusing on computer science professionals and academic-industry knowledge transfer. We analysed 50,000 CS professionals, 500,000 connections, and 100,000 technical posts over 12 months using a Modified Independent Cascade Model that incorporates professional context factors. Our analysis reveals that hybrid professionals, representing only 25% of the network, account for 52% of inter-cluster connections and achieve 2.8× higher cross-domain transfer rates. Educational content demonstrates superior cross-domain appeal (0.47) compared to research papers (0.23), with optimal posting windows between 10 AM-12 PM achieving 23% higher cross-domain engagement. Bridge users in academic-industry transitions show significantly higher transfer effectiveness (Cohen's d = 1.47, p < 0.001). These findings provide evidence-based strategies for optimising professional networking and knowledge dissemination across academic and industry domains
Instagram Through Her Eyes: Exploring Female Instagram Content Creators’ Motivations for Content Creation Mlangeni, Senamile; Nyawo, Thulebona; Nyathi, Mpumelelo; Mhlongo, Xolani Vincent; Mutanga, Murimo Bethel
Indonesian Journal of Information Systems Vol. 8 No. 1 (2025): August 2025
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v8i1.11668

Abstract

Instagram has emerged as a dominant social media platform globally, particularly among young female users who engage actively with visual content and digital narratives. While existing studies have explored the psychological implications of social media usage, few have specifically focused on the motivations behind content creation and the nature of posts, especially within the context of South African universities. This study investigates these motivations among female students aged 18–35 at a University of Technology. A mixed-methods approach was employed, incorporating structured surveys, semi-structured interviews, and content analysis of Instagram posts over a three-month period. The findings indicate that motivations such as self-expression and validation underpin much of the content shared. The study contributes to the understanding of online identity construction and emotional regulation in digital spaces, offering insights into mental health awareness, digital literacy education, and inclusive platform design. By examining female students' Instagram engagement in the Global South, this research fills a contextual and theoretical gap, shedding light on the intersection of social media with unique cultural, academic, and technological dynamics.
Beyond Storage: Evaluating the Utilization of Learning Management Systems in Higher Education Mutanga, Murimo Bethel; Mhlongo, Vincent Xolani; Pillay, Fiona
IJIE (Indonesian Journal of Informatics Education) Vol 7, No 2 (2023): IJIE (Indonesian Journal of Informatics Education) - December
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijie.v7i2.80502

Abstract

In the rapidly evolving landscape of higher education, the integration of Learning Management Systems (LMSs) has become pivotal, transcending mere content uploading to necessitate a deeper fusion of technology, pedagogy, and content knowledge, as emphasised by the Technological Pedagogical Content Knowledge (TPACK) model. This study addresses the knowledge gap in assessing the alignment of the usage LMSs with the TPACK framework through a mixed-method approach. Analysing LMS usage patterns and distributing questionnaires to academics reveals the predominant use of LMSs for basic content storage, with limited incorporation of multimedia resources and infrequent utilisation of external and analytical tools. These findings raise concerns about universities' optimal utilisation of technology investments, highlighting the need to reassess LMS value and potential redesign. The study underscores the importance of enhanced training and support for academics to align LMSs with TPACK principles, emphasising the necessity of understanding this relationship. By doing so, educators can employ transformative strategies that extend beyond conventional boundaries, offering a more enriched educational experience.