| 000 | 02348nam a22002897a 4500 | ||
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| 003 | KOHA | ||
| 005 | 20230424140458.0 | ||
| 008 | 221018d2022 cy ||||| m||| 00| 0 eng d | ||
| 040 |
_aCY-NiCIU _beng _cCY-NiCIU _erda |
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| 041 | _aeng | ||
| 090 |
_aYL 2538 _bA45 2022 |
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| 100 | 1 | _aAkintunde, Araoluwa Delight | |
| 245 | 1 | 0 |
_aUNDERSTANDING COVID-19 MISINFORMATION IN AFRICA USING FACT-CHECKING WEBSITES / _cARAOLUWA DELIGHT AKINTUNDE; SUPERVISOR: ASST. PROF. DR. EDA HANÇER AKKOR |
| 264 | _c2022 | ||
| 300 |
_a68 sheets; _c31 cm. _eIncludes CD |
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| 336 |
_2rdacontent _atext _btxt |
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| 337 |
_2rdamedia _aunmediated _bn |
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| 338 |
_2rdacarrier _avolume _bnc |
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| 502 | _aThesis (MA) - Cyprus International University. Institute of Graduate Studies and Research Communication and Media Studies Department | ||
| 504 | _aIncludes bibliography (sheets 59-68) | ||
| 520 | _aABSTRACT The advent of the Covid-19 pandemic brought another kind of problem where the circulation of misinformation caused a Covid-19 infodemic. This study aimed to understand misinformation that circulated during the first wave in Africa by conducting a quantitative content analysis on two fact-checking websites, Africa Check and Dubawa. This study hoped to understand the types of misinformation, types of misinformation claims, actors and flow of misinformation and the most used media to circulate misinformation and the country of origin of these misinformation. The results showed that the type of misinformation that circulated the most was misleading content, the type of misinformation claims that circulated the most were about prominent actors, most actors of the spread of misinformation were ordinary persons and the flow was among themselves, as opposed to top-down or bottom-up and the media used to spread misinformation the most was online media platforms. The circulation of misinformation poses a terrible threat and must therefore be curbed by joint efforts of governmental and non-governmental bodies to ensure the safety of Africans. Keywords: Covid-19, misinformation, Infodemic, Fact-checkers | ||
| 650 | 0 |
_aCovid-19 (Diseases) _vDissertations, Academic |
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| 650 | 0 |
_aMisinformation _vDissertations, Academic |
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| 700 | 1 |
_aAkkor, Eda Hançer _esupervisor |
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| 942 |
_2ddc _cTS |
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| 999 |
_c285431 _d285431 |
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