Many European citizens become targets of the Kremlin propaganda campaigns,
aiming to minimise public support for Ukraine, foster a climate of mistrust and
disunity, and shape elections (Meister, 2022). To address this challenge, we
developed ''Check News in 1 Click'', the first NLP-empowered pro-Kremlin
propaganda detection application available in 7 languages, which provides the
lay user with feedback on their news, and explains manipulative linguistic
features and keywords. We conducted a user study, analysed user entries and
models' behaviour paired with questionnaire answers, and investigated the
advantages and disadvantages of the proposed interpretative solution.

针对克里姆林宫的宣传活动，发展了首个支持 7 种语言的 NLP 增强的亲克里姆林宫宣传检测应用程序，该应用能够为普通用户提供新闻反馈、解释操纵性语言特征和关键词，并通过用户研究、模型行为分析以及问卷答案，调查了该解决方案的优势和劣势。

一键查看新闻：基于 NLP 的亲克里姆林宫宣传检测

Check News in One Click: NLP-Empowered Pro-Kremlin Propaganda Detection

The war in Ukraine seems to have positively changed the attitude toward the
critical societal topic of migration in Europe -- at least towards refugees
from Ukraine. We investigate whether this impression is substantiated by how
the topic is reflected in online news and social media, thus linking the
representation of the issue on the Web to its perception in society. For this
purpose, we combine and adapt leading-edge automatic text processing for a
novel multilingual stance detection approach. Starting from 5.5M Twitter posts
published by 565 European news outlets in one year, beginning September 2021,
plus replies, we perform a multilingual analysis of migration-related media
coverage and associated social media interaction for Europe and selected
European countries.
The results of our analysis show that there is actually a reframing of the
discussion illustrated by the terminology change, e.g., from "migrant" to
"refugee", often even accentuated with phrases such as "real refugees".
However, concerning a stance shift in public perception, the picture is more
diverse than expected. All analyzed cases show a noticeable temporal stance
shift around the start of the war in Ukraine. Still, there are apparent
national differences in the size and stability of this shift.

通过分析欧洲在线新闻和社交媒体上移民话题的表现，本文探究了乌克兰战争对欧洲对乌克兰难民的看法是否有所改观，并发现了一个叫做 ' 真正的难民 ' 的新术语逐渐代替了传统‘移民’的称谓，然而公众态度的变化因国家而异。

移民再定位？乌克兰危机期间欧洲立场转变的多语言分析

Migration Reframed? A multilingual analysis on the stance shift in Europe during the Ukrainian crisis

Russia's attack on Ukraine on Thursday 24 February 2022 hitched financial
markets and the increased geopolitical crisis. In this paper, we select some
main economic indexes, such as Gold, Oil (WTI), NDAQ, and known currency which
are involved in this crisis and try to find the quantitative effect of this war
on them. To quantify the war effect, we use the correlation feature and the
relationships between these economic indices, create datasets, and compare the
results of forecasts with real data. To study war effects, we use Machine
Learning Linear Regression. We carry on empirical experiments and perform on
these economic indices datasets to evaluate and predict this war tolls and its
effects on main economics indexes.

本文研究了俄罗斯对乌克兰的战争对金融市场的影响，选取了金、原油、股票指数和货币等主要经济指标，通过机器学习线性回归的方法，分析战争对这些指标的实际和预期影响。