"Our analysis of millions of Russian tweets over 2014-2018 reveals that bots make up a large proportion of the Russian political Twittersphere. However, an important lesson from our region is that one cannot assume that simply because there are bots present in the Russian political Twittersphere tha ... t they are pro-Kremlin. Instead, as it turns out, pro-opposition, pro-Kiev, and neutral bots proliferate as well. We therefore also developed machine learning models that allow us to distinguish between three major groups of political bots in Russia at scale, including pro-Kremlin, pro-opposition, and pro-Kyiv bots. It is worth noting, though, that the fourth residual category of bots that we call neutral actually make up a plurality of these bot-orientation types. Our preliminary analysis of bot activity shows that across the entire data set, bots mainly seem to be being used to amplify political messages. In the case of neutral bots, amplification is conducted via tweeting repetitive texts, whereas non-neutral bots achieve this via retweeting. It appears that the sources of retweets from Russian political bots are either mass media with strong political orientation or prominent political figures. Exciting topics for future research would include more deeply diving into the topics of the messages shared by bots, better understanding whether the target audience for these shared messages are humans or other computer algorithms (e.g., to influence search rankings), and testing hypotheses related to over-time variation in the use of political bots, both in Russia and beyond." (Conclusion) more

"This memo presents evidence based on a survey experiment embedded in a national survey of Ukrainians and a laboratory experiment conducted with Ukrainian university students. The findings indicate that anti-Corruption messaging that emphasizes the success of anti-Corruption campaigns (i.e., a “po ... sitive” message) may reduce citizens’ willingness to give bribes. By contrast, anti-Corruption messaging emphasizing that corruption is a growing problem (i.e., a “negative” message) appears to be less effective and, in some circumstances, may even inadvertently increase citizens’ willingness to engage in corrupt acts." (Page 1) more