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The Disinformation Reaction to the Russia-Ukraine War: An Analysis through the Lens of Iberian Fact-Checking.

Title: The Disinformation Reaction to the Russia-Ukraine War: An Analysis through the Lens of Iberian Fact-Checking.
Authors: Baptista, João Pedro; Rivas-de-Roca, Rubén; Gradim, Anabela; Loureiro, Marlene
Source: KOME, An International Journal of Pure Communication Inquiry; 2023, Vol. 11 Issue 2, p27-48, 22p
Subject Terms: DISINFORMATION; RUSSIAN invasion of Ukraine, 2022-; DIGITAL video; POLITICIANS; CONTENT analysis; FACT checking
Geographic Terms: UKRAINE; EUROPE
Reviews & Products: YOUTUBE (Web resource)
Abstract: The beginning of the war in Ukraine generated a wave of disinformation in Europe. Our research intends to cognise the reaction of disinformation agents to the outbreak of war, analysing publications checked by Iberian fact-checkers during the first ten days of the conflict. Specifically, we used Voyant Tools online software to perform a quantitative textual analysis, which allowed us to survey the most relevant topics, formats for spreading disinformation and media platforms. We also analysed the presence of political leaders, countries and military terminologies. Our findings indicate that video is the most common format to disseminate disinformation content, namely, to illustrate war scenarios. In additition, our research also showed that online video platforms, especially YouTube, are closer to terms that portray military actions. This may have implications for fostering a warmongering feeling. Finally, we found that the fake content checked was mostly favourable to Ukraine, which raises new poignant arguments for the contemporary debate about disinformation in war. [ABSTRACT FROM AUTHOR]
: Copyright of KOME, An International Journal of Pure Communication Inquiry is the property of Hungarian Communication Studies Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Complementary Index