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    <titleInfo>
        <title>A Second Pandemic? Analysis of Fake News about COVID-19 Vaccines in Qatar</title>
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    <name type="personal">
        <namePart type="given">Preslav</namePart>
        <namePart type="family">Nakov</namePart>
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    <name type="personal">
        <namePart type="given">Firoj</namePart>
        <namePart type="family">Alam</namePart>
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    <name type="personal">
        <namePart type="given">Shaden</namePart>
        <namePart type="family">Shaar</namePart>
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            <roleTerm authority="marcrelator" type="text">author</roleTerm>
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    <name type="personal">
        <namePart type="given">Giovanni</namePart>
        <namePart type="family">Da San Martino</namePart>
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    <name type="personal">
        <namePart type="given">Yifan</namePart>
        <namePart type="family">Zhang</namePart>
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        <dateIssued>2021-09</dateIssued>
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            <title>Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)</title>
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            <namePart type="given">Ruslan</namePart>
            <namePart type="family">Mitkov</namePart>
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            <namePart type="given">Galia</namePart>
            <namePart type="family">Angelova</namePart>
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    <abstract>While COVID-19 vaccines are finally becoming widely available, a second pandemic that revolves around the circulation of anti-vaxxer “fake news” may hinder efforts to recover from the first one. With this in mind, we performed an extensive analysis of Arabic and English tweets about COVID-19 vaccines, with focus on messages originating from Qatar. We found that Arabic tweets contain a lot of false information and rumors, while English tweets are mostly factual. However, English tweets are much more propagandistic than Arabic ones. In terms of propaganda techniques, about half of the Arabic tweets express doubt, and 1/5 use loaded language, while English tweets are abundant in loaded language, exaggeration, fear, name-calling, doubt, and flag-waving. Finally, in terms of framing, Arabic tweets adopt a health and safety perspective, while in English economic concerns dominate.</abstract>
    <identifier type="citekey">nakov-etal-2021-second</identifier>
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        <url>https://aclanthology.org/2021.ranlp-1.114</url>
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    <part>
        <date>2021-09</date>
        <extent unit="page">
            <start>1010</start>
            <end>1021</end>
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%0 Conference Proceedings
%T A Second Pandemic? Analysis of Fake News about COVID-19 Vaccines in Qatar
%A Nakov, Preslav
%A Alam, Firoj
%A Shaar, Shaden
%A Da San Martino, Giovanni
%A Zhang, Yifan
%Y Mitkov, Ruslan
%Y Angelova, Galia
%S Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)
%D 2021
%8 September
%I INCOMA Ltd.
%C Held Online
%F nakov-etal-2021-second
%X While COVID-19 vaccines are finally becoming widely available, a second pandemic that revolves around the circulation of anti-vaxxer “fake news” may hinder efforts to recover from the first one. With this in mind, we performed an extensive analysis of Arabic and English tweets about COVID-19 vaccines, with focus on messages originating from Qatar. We found that Arabic tweets contain a lot of false information and rumors, while English tweets are mostly factual. However, English tweets are much more propagandistic than Arabic ones. In terms of propaganda techniques, about half of the Arabic tweets express doubt, and 1/5 use loaded language, while English tweets are abundant in loaded language, exaggeration, fear, name-calling, doubt, and flag-waving. Finally, in terms of framing, Arabic tweets adopt a health and safety perspective, while in English economic concerns dominate.
%U https://aclanthology.org/2021.ranlp-1.114
%P 1010-1021

Markdown (Informal)

[A Second Pandemic? Analysis of Fake News about COVID-19 Vaccines in Qatar](https://aclanthology.org/2021.ranlp-1.114) (Nakov et al., RANLP 2021)

• A Second Pandemic? Analysis of Fake News about COVID-19 Vaccines in Qatar (Nakov et al., RANLP 2021)

ACL

• Preslav Nakov, Firoj Alam, Shaden Shaar, Giovanni Da San Martino, and Yifan Zhang. 2021. A Second Pandemic? Analysis of Fake News about COVID-19 Vaccines in Qatar. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), pages 1010–1021, Held Online. INCOMA Ltd..