"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
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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)
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"Computational propaganda is an emergent form of political manipulation that occurs over the Internet. The term describes the assemblage of social media platforms, autonomous agents, algorithms, and big data tasked with the manipulation of public opinion. Our research shows that this new mode of int
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errupting and influencing communication is on the rise around the globe. Advances in computing technology, especially around social automation, machine learning, and artificial intelligence mean that computational propaganda is becoming more sophisticated and harder to track at an alarming rate. This introduction explores the foundations of computational propaganda. It describes the key role that automated manipulation of algorithms plays in recent efforts to control political communication worldwide. We discuss the social data science of political communication and build upon the argument that algorithms and other computational tools now play an important political role in areas like news consumption, issue awareness, and cultural understanding. We unpack the key findings of the nine country case studies that follow—exploring the role of computational propaganda during events from local and national elections in Brazil to the ongoing security crisis between Ukraine and Russia. Our methodology in this work has been purposefully mixed, we make use of quantitative analysis of data from several social media platforms and qualitative work that includes interviews with the people who design and deploy political bots and disinformation campaigns. Finally, we highlight original evidence about how this manipulation and amplification of disinformation is produced, managed, and circulated by political operatives and governments and describe paths for both democratic intervention and future research in this space." (Abstract)
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