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The aim of this paper is to examine the visual disinformation produced in the context of the Russian-Ukrainian war, analyze its international scope, study the reaction of fact-checking journalism and compare the disinformation strategies adopted by both contenders. A descriptive and inferential statistical quantitative research of the fake visual content verified by fact-checkers between January and April 2022 was conducted. The results confirm the dominance of the strategy based on false context, the relevance of Facebook and Twitter in the distribution of fake news, and the production of an increased number of fake images during the two weeks following the invasion. The most frequent narratives are those consisting of false decisions and military attacks that seek to impute atrocities and war crimes to the opposing side. Pro-Russian visual disinformation makes greater use of fabricated content. If the concentration of messages on a few platforms is the logic that characterizes the Ukrainian disinformation, Russia utilizes a more expansive strategy by using a greater variety of media to spread their narratives. Stories about fake attacks are more usual in Ukrainian visual disinformation. Fake news stories about the international community's reaction to the Russian attack are more prevalent in pro-Kremlin disinformation. It is also observed that as the conflict progresses, fake content from the Ukrainian side is less frequent, while Russian disinformation increases in proportion. [ABSTRACT FROM AUTHOR]

Disinformation is one of the great challenges threatening the health of the public space and democratic systems, which must be based on truth to facilitate decision-making by citizens. For this reason, the fight against fake news has attracted attention from professionals and researchers during the last five years. In the journalistic field, numerous fact-checking outlets have been established. They use the media at their disposal and, above all, social networks to make verified content visible. TikTok, an emerging social video platform (very popular among the youth population), is the latest tool to be explored by fact-checkers to make the truth public. In this context, this paper aims to (1) determine the characteristics of fact-checkers' videos that drive their engagement on TikTok and (2) identify the factors that predict the number of likes, comments, views, times shared, and engagement rate of such content. All the videos published on this platform by the Spanish fact-checkers Maldito bulo and Newtral (n = 320) during the first 26 months of activity of both outlets were analyzed. Bivariate correlational studies, multiple linear regression, and binary logistic regression tests were applied. The type of content (verification versus explanation) has a greater impact on engagement than the topics of the videos. Verifications multiply the probability of a content getting an above-average number of likes, by 2.42. If the video is hosted by a woman, it doubles its chances of getting an above-average number of shares. Our results provide other valuable data that can help fact-checkers make their content more easily spreadable. [ABSTRACT FROM AUTHOR]