Disinformation has long been a tactic used by the Russian government to achieve its goals. Today, Vladimir Putin aims to achieve several things: weaken the United States’ strength on the world stage, relieve Western sanctions on himself and his inner circle, and reassert dominant influence over Russia’s near abroad (the Baltics, Ukraine, etc.). This research analyzed disinformation in English, Spanish, and Russian; noting the dominant narratives and geopolitical goals Russia hoped to achieve by destabilizing democracy in each country/region.
The majority of trust research has focused on the benefits trust can have for individual actors, institutions, and organizations. This “optimistic bias” is particularly evident in work focused on institutional trust, where concepts such as procedural justice, shared values, and moral responsibility have gained prominence. But trust in institutions may not be exclusively good. We reveal implications for the “dark side” of institutional trust by reviewing relevant theories and empirical research that can contribute to a more holistic understanding. We frame our discussion by suggesting there may be a “Goldilocks principle” of institutional trust, where trust that is too low (typically the focus) or too high (not usually considered by trust researchers) may be problematic. The chapter focuses on the issue of too-high trust and processes through which such too-high trust might emerge. Specifically, excessive trust might result from external, internal, and intersecting external-internal processes. External processes refer to the actions institutions take that affect public trust, while internal processes refer to intrapersonal factors affecting a trustor’s level of trust. We describe how the beneficial psychological and behavioral outcomes of trust can be mitigated or circumvented through these processes and highlight the implications of a “darkest” side of trust when they intersect. We draw upon research on organizations and legal, governmental, and political systems to demonstrate the dark side of trust in different contexts. The conclusion outlines directions for future research and encourages researchers to consider the ethical nuances of studying how to increase institutional trust.
This paper examines the issue of Russian disinformation in Estonia and how the country has built resilience against this threat. Drawing upon existing literature and a series of interviews conducted with Estonians of a variety of professional backgrounds, this work explores Estonia's whole-of-society approach to resilience and examines its incorporation of national security strategy, inter-institutional cooperation, and media literacy education. Ultimately, this paper argues that Estonia's efforts have been largely successful in enabling the country to strengthen its society against Russian disinformation and offers key takeaways for other countries such as the United States.
Significant efforts to catalogue and record the wave of global business retreats from the escalation of the Russo-Ukrainian war by Russia in February 2022 were made by researchers and professors in the Yale School of Management. This paper analyzes the statuses of these firms through historical publications of the Yale database and attempts to explain the likelihood of a business retreat through many factors, such as industry sector and country of origin. Taking into consideration the grading scale proposed by the Yale School of Management, companies within the Information Technology sector, and companies originating within the U.S. had the highest percentage of eventual “A” ratings within their groups. Statistical tests meant to analyze the stock market reaction to the public companies that were given “F” designations by the Yale School of Management saw that U.S. companies had a lower return than the S&P 500 on average on 2/24/22, whereas companies within the Consumer Staples sector outside of the United States were seen to have had positive returns on 2/24/22. The paper also provides analytics detailing the scope of the corporate exodus from Russia based off of information provided by the Yale School of Management and creates inquiries that may be beneficial to additional research on the topic.
As online media, including social media platforms, become the primary and go-to resource for traditional communication, news and the spread of information is more present and accessible to consumers than ever before. This research focuses on analyzing Twitter data on the ongoing Russian-Ukrainian War to understand the significance of social media during this period in comparison to previous conflicts. The significance of social media and political conflict will be examined through Twitter user analysis and sentiment analysis. This case study will conduct sentiment analysis on a random sample of tweets from a given dataset, followed by user analysis and classification methods. The data will explore the implications for understanding public opinion on the conflict, the strengths and limitations of Twitter as a data source, and the next steps for future research. Highlighting the implications of the research findings will allow consumers and political stakeholders to make more informed decisions in the future.