Text Analysis Methods for Misinformation–Related Research on Finnish Language Twitter

Jussila, Jari; Suominen, Anu; Partanen, Atte; Honkanen, Tapani

doi:10.3390/fi13060157

Cited by 10 publications

(11 citation statements)

References 31 publications

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“…However, not all these languages have easy access to verified or reliable information, especially during this tough time. There are many studies investigating misinformation on Twitter related to COVID-19 in different languages (e.g., [1,9,[16][17][18]). For example, Jussila et al [17] explored misinformation related to COVID-19 in Finnish.…”

Section: Health Misinformation In the Arabic Languagementioning

confidence: 99%

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A Retrospective Analysis of the COVID-19 Infodemic in Saudi Arabia

et al. 2021

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COVID-19 has had broad disruptive effects on economies, healthcare systems, governments, societies, and individuals. Uncertainty concerning the scale of this crisis has given rise to countless rumors, hoaxes, and misinformation. Much of this type of conversation and misinformation about the pandemic now occurs online and in particular on social media platforms like Twitter. This study analysis incorporated a data-driven approach to map the contours of misinformation and contextualize the COVID-19 pandemic with regards to socio-religious-political information. This work consists of a combined system bridging quantitative and qualitative methodologies to assess how information-exchanging behaviors can be used to minimize the effects of emergent misinformation. The study revealed that the social media platforms detected the most significant source of rumors in transmitting information rapidly in the community. It showed that WhatsApp users made up about 46% of the source of rumors in online platforms, while, through Twitter, it demonstrated a declining trend of rumors by 41%. Moreover, the results indicate the second-most common type of misinformation was provided by pharmaceutical companies; however, a prevalent type of misinformation spreading in the world during this pandemic has to do with the biological war. In this combined retrospective analysis of the study, social media with varying approaches in public discourse contributes to efficient public health responses.

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Section: Health Misinformation In the Arabic Languagementioning

confidence: 99%

“…There are many studies investigating misinformation on Twitter related to COVID-19 in different languages (e.g., [1,9,[16][17][18]). For example, Jussila et al [17] explored misinformation related to COVID-19 in Finnish.…”

Section: Health Misinformation In the Arabic Languagementioning

confidence: 99%

A Retrospective Analysis of the COVID-19 Infodemic in Saudi Arabia

et al. 2021

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“…Social bots (automated accounts impersonating humans) do play a role in magnifying the spread of information by liking, sharing, and searching. The bot population on Twitter has been estimated to range from 9% to 15% [51]. Even before the COVID-19 pandemic, researchers of the vaccine debate on Twitter highlighted the role of Russian trolls, bots and content polluters (spreading malware, unwanted commercial content, etc.).…”

Section: Russian Propaganda and Anti-vaccination Movementsmentioning

confidence: 99%

Effects of Pope Francis’ Religious Authority and Media Coverage on Twitter User’s Attitudes toward COVID-19 Vaccination

et al. 2021

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This paper is interdisciplinary and combines the research perspective of medical studies with that of media and social communication studies and theological studies. The main goal of this article is to determine [from arguments on all sides of the issue] whether, and to what extent, statements issued by a religious authority can be used as an argument in the COVID-19 vaccination campaign. The authors also want to find answers to the questions of how the pope’s comments affect public opinion when they concern the sphere of secular and everyday life, including issues related to health care. The main method used in this study is desktop research and the analysis of the Roman Catholic Church’s teaching on vaccination and on the types and significance of the pope’s statements on various topics. The auxiliary methods are sentiment analysis and network analysis made in the open source software Gephi. The authors are strongly interested in the communication and media aspect of the analyzed situation. Pope Francis’ voice on the COVID-19 vaccination has certainly been noticed and registered worldwide, but the effectiveness of his message and direct impact on Catholics’ decisions to accept or refuse the COVID-19 vaccination is quite questionable and would require further precise research. Comparing this to the regularities known from political marketing, one would think that the pope’s statement would not convince the firm opponents of vaccination.

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“…The academic community has shown widespread interest in understanding how disinformation spreads in virtual media, including social networks, e.g., [1][2][3][4][5][6][7], due to the potential of disinformation to trigger various problems for governments, citizens, and other social actors [2]. Thus, the state approach has attributed multiple consequences to disinformation on social networks, such as: the polarisation of citizens' opinions [4], the destruction of the credibility of traditional media [8], the mobility of citizens to prevent the development of public policies [9], among others.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, the spread of misinformation has been growing exponentially [1] as a result of the massive use of social networks. An example of this was the case of COVID-19, when the Russian media RT and Sputnik accused NATO and the United States of America of creating the virus in order to destabilise the Chinese economy, and this information was widely spread on social networks such as Facebook, Twitter and Tik Tok [3,10], or, in the case of the vaccines developed for COVID-19, where the anti-vaccine movement sought to attribute effects such as autism and possible genetic malformations to their use, triggering mistrust on the part of the population and preventing the control of the virus and the mitigation of its transmission [11].…”

Section: Introductionmentioning

confidence: 99%

Disinformation in Social Networks and Bots: Simulated Scenarios of Its Spread from System Dynamics

Rincón¹,

Barbosa

Segovia-García³

et al. 2022

Systems

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Social networks have become the scenario with the greatest potential for the circulation of disinformation, hence there is a growing interest in understanding how this type of information is spread, especially in relation to the mechanisms used by disinformation agents such as bots and trolls, among others. In this scenario, the potential of bots to facilitate the spread of disinformation is recognised, however, the analysis of how they do this is still in its initial stages. Taking into consideration what was previously stated, this paper aimed to model and simulate scenarios of disinformation propagation in social networks caused by bots based on the dynamics of this mechanism documented in the literature. For achieving the purpose, System dynamics was used as the main modelling technique. The results present a mathematical model, as far as disinformation by this mechanism is concerned, and the simulations carried out against the increase in the rate of activation and deactivation of bots. Thus, the preponderant role of social networks in controlling disinformation through this mechanism, and the potential of bots to affect citizens, is recognised.

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Text Analysis Methods for Misinformation–Related Research on Finnish Language Twitter

Cited by 10 publications

References 31 publications

A Retrospective Analysis of the COVID-19 Infodemic in Saudi Arabia

A Retrospective Analysis of the COVID-19 Infodemic in Saudi Arabia

Effects of Pope Francis’ Religious Authority and Media Coverage on Twitter User’s Attitudes toward COVID-19 Vaccination

Disinformation in Social Networks and Bots: Simulated Scenarios of Its Spread from System Dynamics

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