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Propaganda Content in Digital Space: Identification Markers

机译:数字空间中的宣传内容:识别标记

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The article discusses the current forms and channels of propaganda in the network space. Despite the fact that the methods and technologies of propaganda in its classic version are described in detail, in recent decades, the methods of propaganda influence have become more disguised and sophisticated: from the creation of bots in social networks to the fabrication of images and newspaper covers. In such circumstances, it is extremely difficult to distinguish between true and false content, so the problem of selecting criteria for propaganda content is of particular importance today. The aim of the study is to identify the features of propaganda content in a digital society. The objectives of the research project include: the definition of “propaganda content” concept, the forms of its expression, the search for criteria to distinguish propaganda content from other types of information dissemination in social networks. The open materials of such programs as Hamilton 68, Digital Sherlocks, as well as the research of Computational Propaganda Worldwide conducted in Oxford were taken as an object. It is because of these and similar projects that the term “computer propaganda” is firmly entrenched in the scientific lexicon. The research methodology is based on the works of J. Bolsover, F. Howard, and a number of other foreign and domestic authors, indicating the following formats as components of promotional content in online communities: cyberattacks, bot farms, automatic distribution of posts on social networks, theft of data and disinformation. They are usually distributed simultaneously to maximize the coverage of the same information. The main methods of the study were case studies and content analysis. With their help, the case that caused social tension and long-term negative consequences (pension reform of 2018 in Russia) is considered. The analysis of the text format of information about this case, posted on social networks Facebook and Twitter, led to a number of conclusions: the methods used to identify propaganda content, require further serious study. The method of content analysis widely used for this purpose and the relatively recent method of intent analysis, due to the lack of the necessary methodology, are not always able to determine the availability of methods of propaganda influence. The results of the study allow us to state: computer propaganda in the modern world is very effective, including free or very inexpensive distribution. Moreover, the speed and the maximum number of users outreach by propaganda content become major issues. Today, social networks are a real arena of struggle, and the arsenal of propaganda means of influence is increasing exponentially. In these circumstances, the development of propaganda content identification methods can serve as a guarantor of success in the fight. This aspect is especially important in the long term, as in this way you can beat the competition and build the right communication strategy.
机译:本文讨论了网络空间中当前的宣传形式和渠道。尽管已经详细描述了经典版本中的宣传方法和技术,但在最近几十年中,宣传影响力的方法变得更加隐蔽和复杂:从在社交网络中创建机器人到制作图像和报纸,盖子。在这种情况下,很难区分真假内容,因此,选择宣传内容标准的问题在今天尤为重要。该研究的目的是确定数字社会中宣传内容的特征。该研究项目的目标包括:“宣传内容”概念的定义,其表达形式,寻找将宣传内容与社交网络中其他类型信息传播区分开的标准。诸如Hamilton 68,Digital Sherlocks之类的程序的公开材料,以及在牛津进行的全球计算宣传的研究都作为对象。正是由于这些以及类似的项目,“计算机宣传”一词才在科学词典中根深蒂固。该研究方法基于J. Bolsover,F。Howard和许多其他国内外作者的作品,指出了以下格式,作为在线社区中促销内容的组成部分:网络攻击,僵尸农场,自动发布帖子社交网络,数据盗窃和虚假信息。它们通常同时分发以最大程度地覆盖相同信息。研究的主要方法是案例研究和内容分析。在他们的帮助下,考虑了引起社会紧张和长期负面影响的案件(俄罗斯2018年养老金改革)。在社交网络Facebook和Twitter上发布的有关此案信息的文本格式的分析得出了许多结论:用于识别宣传内容的方法需要进一步认真研究。由于缺少必要的方法,因此广泛用于此目的的内容分析方法和较新的意图分析方法并不总是能够确定宣传影响方法的可用性。研究的结果使我们可以说:现代世界中的计算机宣传非常有效,包括免费或非常便宜的发行。而且,通过宣传内容进行用户外展的速度和最大数量成为主要问题。如今,社交网络是一个真正的斗争舞台,宣传影响力的手段正在成倍增加。在这种情况下,宣传内容识别方法的发展可以作为战斗成功的保证。从长远来看,这一方面尤其重要,因为通过这种方式,您可以战胜竞争对手并制定正确的沟通策略。

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