Conference Proceedings, Papers & Presentations (Informatics)

Permanent URI for this collectionhttp://hdl.handle.net/2263/4727

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    The use of heat maps to explore perceived visual indicators of online fake news
    (Elsevier, 2024) Matthee, Machdel C.; Hattingh, Maria J. (Marie); Normund-van Wyk, Ludwig; machdel.mathee@up.ac.za
    The study uses heat maps to explore visual indicators of online fake news as perceived by news consumers. Participants in this study were asked to browse through three separate documents, two of which contained fake news, which they were not made aware of. After browsing the three documents, participants were asked a series of questions via a questionnaire relating to the three articles’ content. These answers, in combination with the participants’ combined heat map data, were analysed to determine what participants consider as visual indicators of online fake news. Participants attempted to establish the source’s credibility and evaluate the indicators provided in the articles. It appeared that the title, URL and website names were important indicators. In addition, images attracted attention, too many adverts were considered a red flag, and an organized layout with an author, date, sources, and secure website increases the credibility of the source.
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    Analyzing digital practices in indigenous communities: a Foucauldian sociotechnical demarginalizing method
    (Association for Computing Machinery, 2024-01) Naidoo, Rennie; Adebesin, Funmi; rennie.naidoo@up.ac.za
    Responsible Human-Computer Interaction for Development (HCI4D) and Information System (IS) researchers have called for demarginalizing methods for decolonizing digital practices in marginalized indigenous communities. This paper offers an adaptation of the Foucauldian Discourse Analysis (FDA) as a demarginalizing method to assess and theorize what discursive resources participants, within a marginalized indigenous community, appropriate to make sense of digital technologies. Our proposed method integrates Foucauldian discourse perspectives with critical sociotechnical discursive constructions. The augmented Foucauldian Sociotechnical Demarginalizing Method (FSDM), using critical discourse analysis, can initiate dialog among scholars and inform digital appropriateness and digital sustainability in marginalized communities. Practitioners can also use the proposed method to interrogate how digital development discourses can improve their sustainability goals. We invite researchers who examine their empirical material obtained from indigenous communities to use the proposed FSDM.
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    From tags to topic maps : using marked-up Hebrew text to discover linguistic patterns
    (Proceedings of the 2008 International Conference on Information Resources Management, 2008-05-18) Kroeze, J.H. (Jan Hendrik); jan.kroeze@up.ac.za; Bothma, T.J.D. (Theodorus Jan Daniel); Matthee, Machdel C.
    The paper discusses a series of related techniques that prepare and transform raw linguistic data for advanced processing in order to unveil hidden grammatical patterns. It identifies XML as a suitable mark-up language to build an exploitable data bank of multi-dimensional data in the Hebrew text of the Old Testament. This concept is illustrated by tagging a transcription of Gen. 1:1-2:3 and manipulating this data bank. Transferring the data into a three-dimensional array allows advanced processing of the data in order to either confirm existing knowledge or to mine for new, yet undiscovered, linguistic features. Visualisation is discussed as a technique that enhances interaction between the human researcher and the computerised technologies supporting this process of knowledge creation. The empirical study is a small experiment that illustrates the viability and usefulness of the proposed expert devices as well as the benefits of applying information system techniques to linguistic databases.