Looking for COVID-19 Misinformation in Multilingual Social Media Texts

Pranesh, Raj Ratn; Farokhnejad, Mehrdad; Shekhar, Ambesh; Vargas-Solar, Genoveva

doi:10.1007/978-3-030-85082-1_7

Cited by 3 publications

(1 citation statement)

References 9 publications

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“…Chukwuere tries to systemize literature review, "this study aimed to provide a comprehensive analysis of social media's role in the novel covid-19 pandemic" (Chukwuere, 2022). The group of researchers conducted covid-19 misinformation multilingual analysis of Twitter (Pranesh et al, 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

Fake News, Misinformation and Disinformation About Covid-19 in Social Media During the Pandemic and Post-Pandemic Time (Case of Georgia)

Osepashvili¹

2023

RS Global - IJITSS

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Spreading fake news and disinformation is one of the global challenges over the last years. It is a challenge for Georgia too. This acute problem was also current at the beginning of the Covid-19 pandemic, when a number of misinformation appear in the social media as well as in the traditional media, regarding the origin and spread of the coronavirus, especially in Facebook which is the most popular social network in Georgia. A lot of fake news was spread and is still being spread in the post-pandemic period too. The Goal of this research paper is to explore the attitudes of Georgian Facebook users, specifically what kind of fake news and disinformation they met about Coronavirus in social media, how to identify them, how much they tried to verify them, how to explain their spread, how to fight them, etc. In order to explore this issue a social constructivism framework is used. As for the main research method, this study is based on the qualitative approach. For this purpose, the method of in-depth interviews - with Georgian active internet users – has been conducted. The respondents are doctors, journalists as well as representatives of different academic fields, who possess media literacy skills.

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Section: Literature Reviewmentioning

confidence: 99%

Fake News, Misinformation and Disinformation About Covid-19 in Social Media During the Pandemic and Post-Pandemic Time (Case of Georgia)

Osepashvili¹

2023

RS Global - IJITSS

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Varieties of corona news: a cross-national study on the foundations of online misinformation production during the COVID-19 pandemic

Caliskan

Kilicaslan

2022

J Comput Soc Sc

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Misinformation in the media is produced by hard-to-gauge thought mechanisms employed by individuals or collectivities. In this paper, we shed light on what the country-specific factors of falsehood production in the context of COVID-19 Pandemic might be. Collecting our evidence from the largest misinformation dataset used in the COVID-19 misinformation literature with close to 11,000 pieces of falsehood, we explore patterns of misinformation production by employing a variety of methodological tools including algorithms for text similarity, clustering, network distances, and other statistical tools. Covering news produced in a span of more than 14 months, our paper also differentiates itself by its use of carefully controlled hand-labeling of topics of falsehood. Findings suggest that country-level factors do not provide the strongest support for predicting outcomes of falsehood, except for one phenomenon: in countries with serious press freedom problems and low human development, the mostly unknown authors of misinformation tend to focus on similar content. In addition, the intensity of discussion on animals, predictions and symptoms as part of fake news is the biggest differentiator between nations; whereas news on conspiracies, medical equipment and risk factors offer the least explanation to differentiate. Based on those findings, we discuss some distinct public health and communication strategies to dispel misinformation in countries with particular characteristics. We also emphasize that a global action plan against misinformation is needed given the highly globalized nature of the online media environment. Supplementary Information The online version contains supplementary material available at 10.1007/s42001-022-00193-5.

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Empirical Framework for Automatic Detection of Neural and Human Authored Fake News

Gupta

Singhal

Mahajan

et al. 2022

2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS)

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Looking for COVID-19 Misinformation in Multilingual Social Media Texts

Cited by 3 publications

References 9 publications

Fake News, Misinformation and Disinformation About Covid-19 in Social Media During the Pandemic and Post-Pandemic Time (Case of Georgia)

Fake News, Misinformation and Disinformation About Covid-19 in Social Media During the Pandemic and Post-Pandemic Time (Case of Georgia)

Varieties of corona news: a cross-national study on the foundations of online misinformation production during the COVID-19 pandemic

Empirical Framework for Automatic Detection of Neural and Human Authored Fake News

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