PERSPECTIVE: Why TikTok is a Weapon of Mass Distraction And Destruction

Craig Albert

2024-08-14

In a notably bipartisan act of cooperation, on April 23 the U.S. Senate passed a bill that would ban TikTok unless the owner of the popular social media app, ByteDance, would sell it to a non-Chinese company. President Biden promptly signed the bill but not without ByteDance filing a lawsuit challenging the constitutionality of the law. This is on top of the $7 million it has already spent trying to lobby Congress and federal officials to prevent the TikTok-banning legislation from getting passed. It will now be up to the courts to decide whether to uphold the law or strike it down so the matter remains out of the hands of the public for now. But a lot can happen in a year and it remains important for the public to understand exactly why TikTok represents such a threat and why banning it was, while obviously not without controversy, the correct move from a homeland security perspective. Let’s begin with one of the most common arguments that I hear—from many of my own students included— contesting the level of danger that TikTok actually presents. The argument is that all of the major social media apps collect our data and track our behavior anyway so TikTok isn’t different in this sense and it therefore isn’t fair to single it out. This is partly true but also partly untrue. It is indeed true that other apps such as Facebook, X, and Instagram also collect our data and track us. But what they do is surveillance capitalism, meaning that the surveillance is carried out with the goal of making money via targeted advertising and algorithms designed to keep you on their apps for as long and often as possible.

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Analyzing influence operations on Facebook: an exploratory study

Craig Albert, Lance Y. Hunter, Samantha Mullaney, Meagan Mays

2024-05-01

Recently, there have been groundbreaking studies that seek to create unique cybersecurity datasets used to empirically test theories related to strategic cybersecurity. To date, however, this research has neglected cyber-enabled information operations (CEIO). With the remarkable amount of information operations being reported on social media platforms such as Facebook, Twitter, and Instagram, there is a substantial gap in the literature regarding empirical studies on CEIO using cross-national datasets. This exploratory, descriptive study seeks to remedy this dilemma. To do so, this paper investigates the question, “What are the political and economic characteristics of states that are most likely to be targeted by CEIO over social media on Facebook?” To investigate, this exploratory, descriptive study utilizes a unique Information Operations Threat Report Dataset (2020) based on Facebook’s release of 2020 influence operations information that captures CEIO on its platform from 2017 to 2020. A descriptive data analysis reveals that mixed regimes (i.e., states that are partially authoritarian and democratic) and slightly wealthier states are more likely to be targeted in CEIO on Facebook. These exploratory findings provide useful insights into what types of states may be more susceptible to CEIO attacks on Facebook.

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The military application of artificial intelligence technology in the United States, China, and Russia and the implications for global security

Lance Y. Hunter, Craig Albert, Christopher Hennigan and Josh Rutland

2023-05-11

A number of studies have considered the theoretical role that Artificial Intelligence (AI) may play in shaping the global balance of power in the future. While these studies are informative, we currently lack an understanding regarding the precise manner AI technologies are being applied and incorporated in militaries in major power states. Thus, in this study, we examine how AI technology is being applied in the militaries in the US, China, and Russia and analyse the implications for the future of AI, global military competition, and international security. We examine current research on the military application of AI technology in the US, China, and Russia and conduct expert interviews with leading AI experts in academia, think tanks, multinational technology companies, and the military to better understand how AI technology is being applied in the three major powers states and the implications for global security.

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Artificial intelligence and information warfare in major power states: how the US, China, and Russia are using artificial intelligence in their information warfare and influence operations

Lance Y. Hunter, Craig Albert, Josh Rutland, Kristen Topping, Christopher Hennigan

2024-03-05

Previous research in security studies contends that information warfare (IW) is becoming a critical element in states' overall security strategies. Additionally, many researchers posit that artificial intelligence (AI) is quickly emerging as an important component of digital communications and states' military applications worldwide. However, less is known regarding how states are incorporating AI in their information warfare and influence operations (IWIO). Thus, given the growing importance of AI and IW in global security, this paper examines how the United States, China, and Russia are incorporating AI in their IWIO strategies and tactics. We find that the US, China, and Russia are utilizing AI in their IWIO approaches in significant ways depending on each state's overall IW strategy, with important implications for international security.

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Twitter Propaganda Operations: Analyzing Sociopolitical Issues in Saudi Arabia

Craig Douglas Albert, Ahmed Aleroud, and Josh Rutland

2023-12-23

The purpose of this article is to explore Arabic-language Tweets based out of Saudi Arabia to investigate the social media landscape. Specifically, this article seeks to address the question, “What thematic issues concerning the U.S. socio-political landscape are present in Arabic-language Twitter postings?” And, “To what extent can these issues be described as propagandic in nature?” To do so, we propose a machine-learning and artificial intelligence span detection approach to identify propaganda Tweets in Middle Eastern Countries, with a focus on Saudi Arabia. As opposed to previous work, this article maps and investigates different propaganda categories using the BEND Social Cyber Security framework. This article then proceeds to a case study analysis of state-sponsored targeted propaganda from Saudi Arabia and briefly describes the categories of propaganda uncovered. We then relate those categories to the BEND Framework and conclude with policy recommendations and discussion.

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Weaponizing Words: Using Technology to Proliferate Information Warfare

Craig Douglas Albert, Ph.D., Lance Y Hunter, PhD, Samantha Mullaney Lieutenant Colonel Joseph Huitt, Lydia Snyder

2023-12-05

The United States risks losing its information advantage over its near-peer competitors, specifically China. One reason behind this possibility is that the U.S. lacks a coherent doctrine of information warfare, which has put the U.S. at a disadvantage. Considering the Russian interference in elections of several North Atlantic Treaty Organization (NATO) states and allies, including Ukraine, Germany, and, the United States, most stunningly in the 2016 presidential election, this article addresses the question: What is to be done? Before delving into possible solutions, the exact nature of the complex problem must be explored. The purpose of this article is to investigate the ways the U.S. could improve in information warfare, specifically against one of its top near-peer competitors, China. First, this article summarizes how China compares with the United States concerning information warfare and influence operations. Second, it delves into some of the definitional chaos in which the U.S. is mired. Thirdly, the article illustrates the doctrinal and data policies of the U.S. Department of Defense. Finally, it concludes with policy recommendations.

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Epidemiological intelligence fusion centers: health security and COVID-19 in the Dominican Republic

Craig Albert, Alejandro Amando Baez, Lance Hunter, John Heslen, John Rutland

2022 Research on health security has focused on how many different political, economic, social, and health-related factors affect disease containment within states. However, largely missing from this scholarship is an examination of the role public health intelligence plays in limiting the spread of disease. Thus, this study focuses on the effect epidemiological intelligence fusion centers have on disease prevalence. We conduct a case study analysis of the Dominican Republic’s use of epidemiological intelligence fusion centers during the COVID-19 pandemic and provide policy recommendations for other states to follow.

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Democracy and cyberconflict: how regime type affects state-sponsored cyberattacks

Dr. Craig Albert, Dr. Lance Hunter, Eric Garrett, Josh Rutland

2022 A large body of research in international relations has focused on the relationship between regime type (i.e., the degree a nation is democratic or authoritarian) and traditional military conflict between states. However, to date, no research has examined how regime type affects conflict in the cyber domain. Thus, we attempt to analyze the effect regime type has on the initiation of state-sponsored cyberattacks. We examine 143 states from 2005 - 2013 utilizing cyber data on known state-sponsored cyberattacks taken from the Council on Foreign Relations Cyber Operations Tracker dataset (CFR-COTD) and economic, political, military, and social data collected by the authors. In conducting a cross-sectional, time series analysis we find that democratic institutions have a pacifying effect on the initiation of state-sponsored cyberattacks.

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A Hitchhiker’s Guide to “Democracy in America”

2016 One of the most challenging issues any instructor of political philosophy faces is how to get college students interested and engaged in a discipline composed mostly of 'a bunch of dead white guys.' The task is hard enough for students already interested in theory and is even more daunting for the general education American government classroom.

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The ethno-violence nexus: measuring ethnic group identity in Chechnya

2014 If scholars and policy-makers are to understand contemporary ethnic conflict, we must first understand ethnic group identity. I make the case that ethnic group identity has substantial effects on collective action, particularly violent conflict, and a mechanism must exist to predict behaviour to properly measure ethnic group identity. This study asks, then: what exactly is ethnic group identity and can it be accurately measured? I address this by developing the Ethnic Group Identity Index (EGII), which seeks to measure the strength of ethnic group identity. I then use the EGII to measure strength of ethnic group identity within Chechnya. The implications abound for policy-makers in matters of conflict management strategies for the Russo-Chechen conflict, and more generally, for all ethnic politics.

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Teaching with Tocqueville: Assessing the Utility of Using ‘Democracy’ in the American Government Classroom to Achieve Student-Learning Outcomes

2014 There is a debate in Political Science concerning how best to teach American Government courses. We investigate whether students learn more effectively with texts from the great tradition or from textbooks and other secondary sources. Which medium better guides students toward becoming better citizens? We examine how teaching “The Great Tradition” may increase success in student-learning outcomes. We examine four categories of learning outcomes in the Introduction to American Government classroom: general knowledge, ...

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Defining Our Terms: Bringing Rigour to Ethnic Studies

2012 For decades, political scientists have grappled with the role identity has played in ethnic conflict. Surprisingly, these scholars have been unsuccessful in rigorously conceptualising some key terms in the field of ethnic studies. How can the causal forces of ethnic strife be unravelled if scholars cannot even agree on the meanings of essential concepts? This article carefully delineates the differences between ethnicity, ethnic groups and ethnic group identity, while showing the conceptual mistakes of some of the field's leading scholars. Often treated synonymously, these concepts are quite distinct: ignoring this not only makes for sloppy scholarship, but has grave policy consequences.

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Towards a General Theory of Ethnic Conflict: Explaining Identity and Violence in Chechnya

Craig Albert

2023-02-28

The purposes of this article are to develop the beginnings of a general theory of ethnic conflict. Specifically, this paper examines and builds upon identity politics and the relationship between ethnic group identity and deadly ethnic violence. It develops the connection more clearly between three integral concepts including societal security, ontological security, and securitization. This paper argues that salient ethnic group identity acts as an underlying catalyst to deadly ethnic violence. Groups with salient identities often view their identity as a measure of security. Thus, any threat to a group’s identity, either perceived or real, is a threat to the group’s physical existence. The processes behind this connection are examined. Understanding the nexus between identity and violence allows for further research testing the hypothesis that the more salient an ethnic group identity is, the more likely deadly conflict will result. This paper concludes with policy recommendations and possible solutions to identity securitization in Chechnya.

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Epidemic intelligence studies: A research agenda for political scientists

Craig Albert

2023-03-24

This research letter introduces readers to health intelligence by conceptualizing critical components and providing a primer for research within political science broadly considered. Accordingly, a brief review of the literature is provided, concluding with possible future research agendas. The aim is to elaborate on the importance of public health intelligence to national security studies, and to political science more generally.

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Socio-Emotional Computational Analysis of Propaganda Campaigns on Social Media Users in the Middle East

Zain Halloush, Ahmed Aleroud, Craig Albert,

2023-04-30

Society has been significantly impacted by social media platforms in almost every aspect of their life. This impact has been effectively formulating people’s global mindsets and opinions on political, economic, and social events. Such waves of opinion formation are referred to as propagandas and misinformation. Online propaganda influences the emotional and psychological orientation of people. The remarkable leaps in Machine Learning models and Natural Language Processing have helped in analyzing the emotional and psychological effects of cyber social threats such as propaganda campaigns on different nations, specifically in the Middle East, where rates of disputes have risen after the Arab Spring and the ongoing crises. In this paper, we present an approach to detect propagandas and the associated emotional and psychological aspects from social media news headlines that contain such a contextualized cyber social attack. We created a new dataset of headlines containing propaganda tweets and another dataset of potential emotions that the audience might endure when being exposed to such propaganda headlines. We believe that this is the first research to address the detection of emotional reactions linked to propaganda types on social media in the Middle East.

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The Fourth Industrial Revolution, Artificial Intelligence, and Domestic Conflict

Lance Y. Hunter, Craig Albert, Josh Rutland & Chris Hennigan

2022-11-22

An emerging field of scholarship in Artificial Intelligence (AI) and computing posits that AI has the potential to significantly alter political and economic landscapes within states by reconfiguring labor markets, economies, and political alliances, leading to possible societal disruptions. Thus, this study examines the potential destabilizing economic and political effects AI technology can have on societies and the resulting implications for domestic conflict based on research within the fields of political science, sociology, economics, and artificial intelligence. In addition, we conduct interviews with 10 international AI experts from think tanks, academia, multinational technology companies, the military, and cyber to assess the possible disruptive effects of AI and how they can affect domestic conflict. Lastly, the study offers steps governments can take to mitigate the potentially destabilizing effects of AI technology to reduce the likelihood of civil conflict and domestic terrorism within states.

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