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Relevant bibliographies by topics / Cambridge Analytica

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Journal articles

Academic literature on the topic 'Cambridge Analytica'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 April 2022

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Journal articles on the topic "Cambridge Analytica"

1

Oddleifson, Evan. "The Effects of Modern Data Analytics in Electoral Politics." Political Science Undergraduate Review 5, no. 1 (2020): 46–52. http://dx.doi.org/10.29173/psur130.

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New implementations of data analytical processes in democratic politics deeply affect voter-representative relationships and constitute a substantive challenge to voter agency. This paper examines the effects of social media driven data analytics on voter microtargeting and electoral politics using Cambridge Analytica’s (CA) involvement in the 2016 US Presidential election and the 2010 Trinidad and Tobago General election. It finds that data-driven voter targeting strategies developed by Cambridge Analytica from 2014-2015 are substantially more effective than previously employed strategies. Moreover, these strategies undermine rational choice and consequently impede a country's ability to conduct democratic politics.

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2

Hu, Margaret. "Cambridge Analytica’s black box." Big Data & Society 7, no. 2 (2020): 205395172093809. http://dx.doi.org/10.1177/2053951720938091.

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The Cambridge Analytica–Facebook scandal led to widespread concern over the methods deployed by Cambridge Analytica to target voters through psychographic profiling algorithms, built upon Facebook user data. The scandal ultimately led to a record-breaking $5 billion penalty imposed upon Facebook by the Federal Trade Commission (FTC) in July 2019. The FTC action, however, has been criticized as failing to adequately address the privacy and other harms emanating from Facebook’s release of approximately 87 million Facebook users’ data, which was exploited without user authorization. This Essay summarizes the FTC’s response to the Cambridge Analytica–Facebook scandal. It concludes that the scandal focuses attention on the need to explore the potential for embedding due process-type inquiries and protections within the enforcement actions by regulatory agencies such as the FTC. These protections are increasingly important in addressing the problem of “black boxing the voter” that is now presented by data- and algorithmic-driven companies such as Cambridge Analytica and Facebook.

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3

Muradzada, Nijat. "An ethical analysis of the 2016 data scandal: Cambridge Analytica and Facebook." Scientific Bulletin 3 (2020): 13–23. http://dx.doi.org/10.54414/yzuf7796.

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This paper analyzes the ethics behind the actions of the 2016 Data Scandal on the example of 2 major sides, Facebook and Cambridge Analytica. Subsequent events such as bankruptcy of Cambridge Analytica and a significant drop in the stock prices of Facebook (a fall of 24%, equivalent to $134 billion.) were an integral part of this research paper to explore the role of the attitudes of the business entities over bankruptcy in these kinds of scandals. Thereby, a comparison technique has been employed to analyze the ethical dimension of the bankruptcy of Cambridge Analytica, and how the attitude of Facebook provided a chance of survival and recovery within this process. The outcome of the research clearly identifies that even in the corporative entities bypassing or violating the ethical standards can be observed. Albeit, there is a strong correlation between the degree of ethical standards and the sustainability of the businesses from the aspect of customers, partners, and the government. The article continued with the analysis of the significance of the immediate implementation of the ethical standards and deterrent defense with a manner of “bona fide” in these types of scandals to handle the crisis. The research concluded with an ethical analysis of data analysis and data mining from the Kantian definition of autonomy, Jurgen Habermas’s definition of privacy in the era of digitalization.

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4

Kanakia, Harshil, Giridhar Shenoy, and Jimit Shah. "Cambridge Analytica � A Case Study." Indian Journal of Science and Technology 12, no. 29 (2019): 1–5. http://dx.doi.org/10.17485/ijst/2019/v12i29/146977.

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5

Briant, Emma. "Lessons from the Cambridge Analytica Crisis." Journal of Intelligence, Conflict, and Warfare 3, no. 3 (2021): 125–27. http://dx.doi.org/10.21810/jicw.v3i3.2775.

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On November 27, 2020, Dr. Emma Briant presented Lessons from the Cambridge Analytica Crisis: Confronting Today's (Dis)information Challenges, at the 2020 CASIS West Coast Security Conference. The presentation was followed by a question and answer period with other speakers. The key points of the discussion focused on digital mercenaries, surveillance capitalism, and Western government/military responses to foreign influence campaigns.

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6

Berghel, Hal. "Malice Domestic: The Cambridge Analytica Dystopia." Computer 51, no. 5 (2018): 84–89. http://dx.doi.org/10.1109/mc.2018.2381135.

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7

ANASTASIA, Vittoria Alvares, and Caio Augusto de Souza LARA. "O ESCANDÂLO CAMBRIDGE ANALYTICA: A MANIPULAÇÃO DE DADOS NA ERA DIGITAL." Percurso 4, no. 31 (2019): 164. http://dx.doi.org/10.21902/revpercurso.2316-7521.v4i31.3722.

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RESUMO O tema-problema da pesquisa que se pretende desenvolver é como o escândalo Cambridge Analytica trouxe a preocupação com a manipulação de dados de usuários na internet e até qual ponto empresas privadas podem invadir a privacidade individual e violar direitos fundamentais. A empresa Cambridge Analytica, através da coleta de dados individuais do Facebook, “transformou cliques em votos” (LAPOWSKY, 2018). [...]

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8

Raben, Finn. "Cambridge Analytica; Lack of Knowledge or Principles?" Research World 2018, no. 70 (2018): 54–55. http://dx.doi.org/10.1002/rwm3.20674.

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9

Peruzzi, Antonio, Fabiana Zollo, Walter Quattrociocchi, and Antonio Scala. "How News May Affect Markets’ Complex Structure: The Case of Cambridge Analytica." Entropy 20, no. 10 (2018): 765. http://dx.doi.org/10.3390/e20100765.

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The claim of Cambridge Analytica, a political consulting firm, that it was possible to influence voting behavior by using data mined from the social platform Facebook created a sudden fear in its users of being manipulated; consequently, even the market price of the social platform was shocked.We propose a case study analyzing the effect of this data scandal not only on Facebook stock price, but also on the whole stock market. To such a scope, we consider 15-minutes prices and returns of the set of the NASDAQ-100 components before and after the Cambridge Analytica case. We analyze correlations and Mutual Information among components finding that assets become more correlated and their Mutual Information grows higher. We also observe that correlation and Mutual Information are mutually increasing and seem to follow a master curve. Hence, the market appears more fragile after the Cambridge Analytica event. In fact, as it is well-known in finance, an increase in the average value of correlations augments the systemic risk (i.e., all the market can collapse as a whole) and decreases the possibility of allocating a safe investment portfolio.

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10

Laterza, Vito. "Cambridge Analytica, independent research and the national interest." Anthropology Today 34, no. 3 (2018): 1–2. http://dx.doi.org/10.1111/1467-8322.12430.

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