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Comunicar 39-ingles - Revista Comunicar

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<strong>39</strong>Table 1: Internet users and population statistics for Africa (US Census Bureau, 2009).holders in West and Central Africa participated in thestudy, only (17%) involved subject-specific media andinformation literacy for teaching and learning purposes»(Karsenti & Ngamo, 2007). This happens at atime, when media and information literacy could openup opportunities for citizens to participate in the publicsphere through what is described as «media participation»(Tettey, 2002).Many studies referred to the social, ideological(racism), and economic factors that resulted withstructural inequalities in South Africa. The UNHDR(2005) calculated that (34.1%) of the South Africanpopulation lives on less than ($2) per day, the lifeexpectancy at birth decreased to (49.0) years in 2000-05, the public expenditures on education decreased to(5.3%) of the GDP in 2000-02, and South Africa is listedas number (9) of countries with the highest incomeinequality that resulted with very high crime rate(UNHDR, 2005).South Africa has nine provinces, three of whichare considered thriving media and information literacyclusters: Gauteng, the Western Cape, and KwaZuluNatal, there is no significant relationship between telecommunicationinvestments on the one hand and onthe other hand Internet usage or PC usage. Althoughprivate annual telecommunication investment after afirst increase decreased, Internet and PC usage increa -sed in South Africa during the last decade.In South Africa, it is given a priority on the nationallevel to consolidate democracy and human rightsthrough citizens’ increased accessibility to informationas well as increased opportunities for communicatingfreely with each other on matters of civic importance(Tlabela, Roodt, Paterson & Weir-Smith, 2007).Howe ver, there are still significant challenges facingmedia and information literacy to reduce the differencesin access between social groups, thereby extendingthe benefits of technology to all sectors of thegrassroots (ITU, 2003).At the end ofthis section, onehas to be carefulabout the foregoingdiscussionsupport Ott’s(1998) admonishment to attenuate the utopian enthusiasmabout the democratizing impact of ICTs inAfrica. Nonetheless, there is minimal impact in thenumbers and categories of those who engage in andhence influence the direction of information literacyon the continent. The majority of the «publics» includingthe new generation are the marginalized segmentsof society, who are still unable to rupture thenature of literacy through ICTs because of economic,language or other constraints.3. MethodologyIn this section, the research refers to some of thelatest data base indicators to how media and informationliteracy stands in South Africa, and then taking acase study from the University of Cape Town onissues of DC++ among young elite students.In the first stage of the analysis, data are drawnfrom the Internet Usage and Population Statistics ofWorld Stats, only (6.7%) have Internet penetration inAfrica, which represent (3.9%) of the total worldusers. In this setting, two-thirds of people reside inrural areas with less than (4%) having a fixed linetelephone connection. The statistical data show thatalmost all African countries with very low Internetaccess are among the least developed countries in theworld in terms of health, education, and income. Assuch, a close correlation between global social gapsand the global digital divide.In table 1, one could easily correlate between clusteringof low values for both Digital Access Index(DAI) 1 and Human Development Index (HDI) 2 inAfrica. This clustering lends further weight to the ideathat both the HDI and DAI have a strong spatial component.In table 2, media and information literacy is takinga very unequal development. Internet access andexperiences of new media vary in the nature of consumptiongiving priority to mobile phones at theTable 2: Different New Media consumption in Africa (US Census Bureau, 2009).<strong>Comunicar</strong>, <strong>39</strong>, XX, 2012© ISSN: 1134-3478 • e-ISSN: 1988-3293 • Pages 35-43

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