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1

Oddleifson, Evan. "The Effects of Modern Data Analytics in Electoral Politics." Political Science Undergraduate Review 5, no. 1 (April 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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Hu, Margaret. "Cambridge Analytica’s black box." Big Data & Society 7, no. 2 (July 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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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 (August 1, 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 (March 17, 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 (May 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 (October 5, 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 (May 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 (October 6, 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 (June 2018): 1–2. http://dx.doi.org/10.1111/1467-8322.12430.

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11

Isaak, Jim, and Mina J. Hanna. "User Data Privacy: Facebook, Cambridge Analytica, and Privacy Protection." Computer 51, no. 8 (August 2018): 56–59. http://dx.doi.org/10.1109/mc.2018.3191268.

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12

Brown, Allison J. "“Should I Stay or Should I Leave?”: Exploring (Dis)continued Facebook Use After the Cambridge Analytica Scandal." Social Media + Society 6, no. 1 (January 2020): 205630512091388. http://dx.doi.org/10.1177/2056305120913884.

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Social media platforms bring both benefits and risks which have been documented copiously in extant academic literature. A range of issues related to privacy and trust inhibit the fulsome enjoyment of social media by users. In 2018, several news sources documented that Cambridge Analytica acquired psychographic data for Facebook users and used that data to target ads for the November 2016 US election. Although none of the news reports indicated that Facebook was complicit in this matter, some Facebook users publicly announced they would leave Facebook and encouraged others to do so. Using in-depth interviews with 10 undergraduate and graduate college students aged 18–29 years, this research study explores decisions to stay with or leave Facebook following the Cambridge Analytica case as such decisions intersect with privacy concerns. While all the respondents were concerned about their privacy, many of them believed that participation in social media requires an exchange of personal data for the use of the service. None of the respondents left Facebook permanently because of the Cambridge Analytica incident. But several reported non-use and reduced use prompted by privacy concerns and other social concerns associated with the use of Facebook. Although these research interviews are centered on a very specific event, they are instructive on the various approaches to privacy patterns and trust in social media. Greater transparency, advocacy, and transnational cooperation would be critical interventions to inspire greater trust in social media platforms.
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Strauß, Stefan. "Vom „Global Village“ zur „Blackbox Society“? Digitale Identitäten und politische Kommunikation in Zeiten des Überwachungskapitalismus." Momentum Quarterly - Zeitschrift für sozialen Fortschritt 9, no. 2 (July 13, 2020): 85. http://dx.doi.org/10.15203/momentumquarterly.vol9.no2.p85-102.

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Digitization and social media have been changing political (mass-)communication significantly. The Cambridge Analytica data scandal underlines the strong ambivalence between political empowerment and polarization. Problems of filter bubbles, “fake news”, disinformation etc. increasingly challenge free political will formation and democracy. This paper explores how and why social media altered political communication in this respect and what role the toolbox of surveillance capitalism plays here. In the light of a structural transformation of the public it discusses how digital mass communication functions with the dynamics of social media. Based on the case of the Cambridge Analytica scandal, the paper reveals how digital identification practices, microtargeting and modern forms of persuasion marketing serve to create political impact by influencing political opinions and how this relates to mechanisms of propaganda. Finally, the paper argues for stricter regulation of political online communication and digital campaigning to counter populism.
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14

Fornasier, Mateus De Oliveira, and Cesar Beck. "CAMBRIDGE ANALYTICA: ESCÂNDALO, LEGADO E POSSÍVEIS FUTUROS PARA A DEMOCRACIA." Revista Direito em Debate 29, no. 53 (May 26, 2020): 182–95. http://dx.doi.org/10.21527/2176-6622.2020.53.182-195.

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O texto traz um referencial acerca do caso da empresa Cambridge Analytica (C.A). Foram demonstradas, ao longo do artigo, as causas que levaram ao escândalo ocorrido, o legado deixado a partir disso e as possibilidades de futuro para a referida empresa. São mencionados ainda os pontos que levaram a C.A a cometer erros que custaram sua reputação. O artigo aborda ainda que o ocorrido com a empresa poderá acontecer com diversos outros setores, necessitando, portanto, de ações preventivas capazes de trabalhar e modificar pontos falhos. O texto é finalizado a partir da observação acerca da Fake News – tema amplamente mencionado no passado-recente e sobre a Deep Fake - tema do futuro-imediato. A importância do conhecimento acerca desses termos próximo das eleições a serem realizadas no ano de 2020 identifica que o eleitor brasileiro ainda precisa compreender melhor a questão da escolha consciente a fim de promover a boa manutenção do Estado Democrático de Direito, sendo essas questões um aprendizado ensinado a partir da análise do exemplo do escândalo da CA O estudo é feito por meio de uma pesquisa de natureza descritiva, com método hipotético-dedutivo, sendo um estudo de caso de abordagem qualitativa e transdisciplinar, com técnica bibliográfico-documental.
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15

Tarran, Brian. "What can we learn from the Facebook-Cambridge Analytica scandal?" Significance 15, no. 3 (June 2018): 4–5. http://dx.doi.org/10.1111/j.1740-9713.2018.01139.x.

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16

Spence, Edward Howlett. "The sixth estate: tech media corruption in the age of information." Journal of Information, Communication and Ethics in Society 18, no. 4 (March 6, 2020): 553–73. http://dx.doi.org/10.1108/jices-02-2020-0014.

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Purpose The purpose of this paper is to demonstrate how some of the information and communication practices of the Tech Media and specifically of Facebook, constitute media corruption. The paper will examine what the professional role of Facebook is regarding its information/communication practices and then demonstrate that Facebook is essentially a media company and not merely a “platform,” therefore liable to the same normative responsibilities as other media companies. Design/methodology/approach Applying the dual obligation information theory (DOIT), a normative information and communication theory that applies generally to all media companies that disseminate and share information, the paper demonstrates that Facebook’s role of mediating and curating the information of its users places upon it a normative editing responsibility, to ensure both the preventive detection and corrective editing of fake news, as well as other forms of misinformation disseminated on its platform. Finally, applying a philosophical model of media corruption the paper will demonstrate that Facebook’s role in the Cambridge Analytica case was not only unethical but moreover, constituted media corruption. Findings The paper concludes that Facebook’s media corruption illustrated in the Cambridge Analytica case is not a one-off case but the result of a systemic and inherent conflict of interest between its business model of selling users’ information to advertisers and its normative media role rendering the conflict of interest between those two roles conducive to media corruption. Originality/value The paper's originality is twofold. It demonstrates that Facebook is a media company normatively accountable on the basis of an original theory the DOIT and moreover, on the basis of an original media corruption theory its actions in the Cambridge Analytica case constituted media corruption.
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17

Heawood, Jonathan. "Pseudo-public political speech: Democratic implications of the Cambridge Analytica scandal." Information Polity 23, no. 4 (December 10, 2018): 429–34. http://dx.doi.org/10.3233/ip-180009.

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18

Timanta Tarigan, Jos, and Elviawaty M. Zamza. "Post Cambridge Analytica Fallout: Observing Facebook Users Awareness Regarding Data Security." International Journal of Engineering & Technology 7, no. 3.32 (August 26, 2018): 123. http://dx.doi.org/10.14419/ijet.v7i3.32.18411.

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In early 2018, Cambridge Analytica, a UK based political consulting group, was in the middle of the spotlight regarding its activity collecting Facebook users’ personal data. The data was harvested without users’ consent and was used to influence voter opinion to support a presidency campaign. This event triggered numerous movement aimed to inform and motivate the public to be concern of the use of their data in social media. However, whether these actions have raised the awareness of social media users is yet to be investigated. The objective of this paper is to harvest the awareness of social media users in Indonesia. We’ve performed a survey and collected answers from 312 responders who actively use social media in everyday life. The result shows that most of the responders have a low awareness regarding the event and its impact to social media industry. Over 24% of our responders have heard of the event and only 7% of the responders were able to describe the event correctly. Moreover, most of these users did not aware how their profile information in social media may be used to achieve commercial or political purpose by social media industry or collaborating third party without their consent.
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AKPINAR, Mustafa Eren. "A REVIEW ON THE RELATIONSHIP OF BIG DATA AND CAMBRIDGE ANALYTICA." Journal of Communication Science Researches 2, no. 1 (January 1, 2022): 56–63. http://dx.doi.org/10.7456/100201100/006.

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Lapaire, Jean-Rémi. "Why content matters. Zuckerberg, Vox Media and the Cambridge Analytica data leak." Antares: letras e humanidades 10, no. 20 (August 31, 2018): 88–110. http://dx.doi.org/10.18226/19844921.v10.n20.06.

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21

Tromble, Rebekah. "Where Have All the Data Gone? A Critical Reflection on Academic Digital Research in the Post-API Age." Social Media + Society 7, no. 1 (January 2021): 205630512198892. http://dx.doi.org/10.1177/2056305121988929.

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In the wake of the 2018 Facebook–Cambridge Analytica scandal, social media companies began restricting academic researchers’ access to the easiest, most reliable means of systematic data collection via their application programming interfaces (APIs). Although these restrictions have been decried widely by digital researchers, in this essay, I argue that relatively little has changed. The underlying relationship between researchers, the platforms, and digital data remains largely the same. The platforms and their APIs have always been proprietary black boxes, never intended for scholarly use. Even when researchers could mine data seemingly endlessly, we rarely knew what type or quality of data were at hand. Moreover, the largesse of the API era allowed many researchers to conduct their work with little regard for the rigor, ethics, or focus on societal value, we should expect from scholarly inquiry. In other words, our digital research processes and output have not always occupied the high ground. Rather than viewing 2018 and Cambridge Analytica as a profound disjuncture and loss, I suggest that digital researchers need to take a more critical look at how our community collected and analyzed data when it still seemed so plentiful, and use these reflections to inform our approaches going forward.
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González-Pizarro, Felipe, Andrea Figueroa, Claudia López, and Cecilia Aragon. "Regional Differences in Information Privacy Concerns After the Facebook-Cambridge Analytica Data Scandal." Computer Supported Cooperative Work (CSCW) 31, no. 1 (February 14, 2022): 33–77. http://dx.doi.org/10.1007/s10606-021-09422-3.

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Arifin, Ridwan, and Taza Ratna Atika. "FACEBOOK LEAKS: HOW DOES INDONESIAN LAW REGULATE IT?" Ganesha Law Review 3, no. 1 (April 8, 2021): 33–42. http://dx.doi.org/10.23887/glr.v3i1.320.

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Along with the development in the world of technology, especially in the internet sector, which has provided so many benefits and advantages and conveniences for many people, in addition to these advantages there are also developments in negative aspects, the existence of risks, and the negative impact of its misuse by parties who not responsible. Some time ago the Indonesian people were quite troubled by the emergence of cases of leakage of personal data of Facebook users. The personal data leakage scandal of Facebook users that has been broken into by the analytical research firm Cambridge Analytica is targeting the entire world population, one of which is Indonesia. Many people are wondering who is to blame and responsible for this case. What is the cause of this case and can it be prevented.
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Haller, André, and Simon Kruschinski. "Politisches Microtargeting. Eine normative Analyse von datenbasierten Strategien gezielter Wähler_innenansprache." Communicatio Socialis 53, no. 4 (2020): 519–30. http://dx.doi.org/10.5771/0010-3497-2020-4-519.

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Parteien nutzen seit Beginn der 2000er Jahre zunehmend datengestützte Strategien der Wahlkampfkommunikation. Dabei greifen sie insbesondere auf politisches Microtargeting (PMT), die Identifikation und gezielte Ansprache einzelner Wähler_innen(gruppen) auf Basis von Daten, Technologien und Analysen, zurück. In der öffentlichen Diskussion steht PMT vor allem nach dem Cambridge-Analytica-Skandal stark in der Kritik. Dieser Aufsatz greift diese Debatte auf und leistet eine normative Diskussion von PMT im Lichte von demokratietheoretischen Konzepten. Es wird aufgezeigt, welche positiven und negativen Implikationen von PMT auf die Repräsentation, Partizipation und die deliberative Öffentlichkeit in Demokratien ausgehen können.
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Briant, Emma. "Global Information and Digitalized Influence in a Data-driven World." Journal of Intelligence, Conflict, and Warfare 4, no. 3 (January 31, 2022): 105–9. http://dx.doi.org/10.21810/jicw.v4i3.4156.

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On November 24, 2021, Dr. Emma Briant presented Global Information and Digitalized Influence in a Data-driven World at the 2021 CASIS West Coast Security Conference. The primary concepts of Dr. Briant’s presentation centered on the types of tactics and methodologies used by Cambridge Analytica during political campaigns and how these methodologies have been used to drive extremism. Dr. Briant’s presentation was followed by a question and answer period directed at a group of panelists allowing the audience and CASIS Vancouver executives to directly engage with the content of each speaker’s presentation.
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Hinds, Joanne, Emma J. Williams, and Adam N. Joinson. "“It wouldn't happen to me”: Privacy concerns and perspectives following the Cambridge Analytica scandal." International Journal of Human-Computer Studies 143 (November 2020): 102498. http://dx.doi.org/10.1016/j.ijhcs.2020.102498.

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Samtani, Sagar, Murat Kantarcioglu, and Hsinchun Chen. "A Multi-Disciplinary Perspective for Conducting Artificial Intelligence-enabled Privacy Analytics." ACM Transactions on Management Information Systems 12, no. 1 (March 2021): 1–18. http://dx.doi.org/10.1145/3447507.

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Events such as Facebook-Cambridge Analytica scandal and data aggregation efforts by technology providers have illustrated how fragile modern society is to privacy violations. Internationally recognized entities such as the National Science Foundation (NSF) have indicated that Artificial Intelligence (AI)-enabled models, artifacts, and systems can efficiently and effectively sift through large quantities of data from legal documents, social media, Dark Web sites, and other sources to curb privacy violations. Yet considerable efforts are still required for understanding prevailing data sources, systematically developing AI-enabled privacy analytics to tackle emerging challenges, and deploying systems to address critical privacy needs. To this end, we provide an overview of prevailing data sources that can support AI-enabled privacy analytics; a multi-disciplinary research framework that connects data, algorithms, and systems to tackle emerging AI-enabled privacy analytics challenges such as entity resolution, privacy assistance systems, privacy risk modeling, and more; a summary of selected funding sources to support high-impact privacy analytics research; and an overview of prevailing conference and journal venues that can be leveraged to share and archive privacy analytics research. We conclude this paper with an introduction of the papers included in this special issue.
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Wong, Janis, and Tristan Henderson. "Co-Creating Autonomy: Group Data Protection and Individual Self-determination within a Data Commons." International Journal of Digital Curation 15, no. 1 (August 11, 2020): 16. http://dx.doi.org/10.2218/ijdc.v15i1.714.

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Recent privacy scandals such as Cambridge Analytica and the Nightingale Project show that data sharing must be carefully managed and regulated to prevent data misuse. Data protection law, legal frameworks, and technological solutions tend to focus on controller responsibilities as opposed to protecting data subjects from the beginning of the data collection process. Using a case study of how data subjects can be better protected during data curation, we propose that a co-created data commons can protect individual autonomy over personal data through collective curation and rebalance power between data subjects and controllers.
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Hall, Kimberly. "Public Penitence: Facebook and the Performance of Apology." Social Media + Society 6, no. 2 (April 2020): 205630512090794. http://dx.doi.org/10.1177/2056305120907945.

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This article explores the 2018 apology campaign launched by Facebook in the wake of the Cambridge Analytica scandal. While the campaign has largely been read as a failure, this article reads the five key moments of apology against the broader cultural discourse produced by the social media giant in order to argue that the campaign is actually quite successful. Facebook uses the performance of apology to create a divided perception of the company that allows it to reroute the expected transformation of the penitent into a strengthening of its brand identity, pointing to the immense discursive power of Facebook.
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Arocena, Felipe, Sebastián Sansone, and Nicolás Alvarez. "Disrupción tecnológica y democracia en el siglo XXI." Cuestiones de sociología, no. 25 (August 2, 2021): e125. http://dx.doi.org/10.24215/23468904e125.

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En el año 2019, el sociólogo Manuel Castells afirmó categóricamente que la democracia liberal agotó su recorrido histórico y, citando unos versos de Octavio Paz, expresó: "No lo que pudo ser:/es lo que fue /Y lo que fue está muerto". En este trabajo reflexionaremos sobre este diagnóstico en base a cinco preguntas interrelacionadas. ¿En qué medida la democracia liberal está siendo afectada por la actual aceleración tecnológica informacional? ¿Existe realmente una crisis democrática? ¿Qué lecciones pueden aprenderse a partir del suceso de Cambridge Analytica? ¿Será posible manipular los sentimientos: hackear humanos? ¿Cuáles son los caminos disponibles a futuro?.
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Marden, William, Jason Griffey, Erin Berman, Sarah Houghton, Jessamyn West, Eric Hellman, T. J. Lamanna, and Matt Beckstrom. "Choose Privacy Week 2018: Big Data is Watching You." Journal of Intellectual Freedom & Privacy 4, no. 1 (June 3, 2019): 3. http://dx.doi.org/10.5860/jifp.v4i1.6885.

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Five months ago, when the members of ALA’s Privacy Subcommittee met to decide on this year’s [2018] “Choose Privacy Week” (CPW) theme, it’s a fair bet to say that only a tiny percentage of the general public had ever heard of Cambridge Analytica, Aleksandr Kogan, the SCL Group, or of a fairly obscure app called “thisisyourdigitallife.”And yet, there were warnings about Cambridge Analytica’s program as early as December 2015, when the London Guardian first reported on this data-collection program and its integration with Facebook as part of Ted Cruz’s 2016 bid for the US presidency. Michael Zimmer, a University of Wisconsin-Milwaukee associate professor and a member of ALA’s Privacy Subcommittee, was quoted by the Guardian about why the use of such data was highly problematic. “It’s one thing for a marketer to try to predict if people like Coke or Pepsi,” said Zimmer, “but it’s another thing for them to predict things that are much more central to our identity, and what’s more personal in how I interact with the world in terms of social and cultural issues?”In the wake of Mark Zuckerberg’s Congressional testimony last week [in April 2018] and the related explosion of public interest in how online personal data is collected, stored, shared, used, and sometimes misused, this year’s CPW theme—“Big Data is Watching You”—could not be more perfectly timed.
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D'Andréa, Carlos. "Para além dos dados coletados: políticas das APIs nas plataformas de mídias digitais." MATRIZes 15, no. 1 (June 8, 2021): 103–22. http://dx.doi.org/10.11606/issn.1982-8160.v15i1p103-122.

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O artigo discute questões conceituais e metodológicas a serem enfrentadas por pesquisas empíricas baseadas em dados obtidos através de Application Programming Interfaces (APIs) de plataformas online. Em diálogo com os Estudos de Plataforma, métodos digitais e outras abordagens ancoradas nos estudos de ciência e tecnologia (STS), o artigo volta-se para a relação entre as políticas das APIs e dimensões como affordances, governança, datificação e mediações algorítmicas em mídias sociais como Twitter e Facebook. Aspectos materiais, políticos, normativos e econômicos são discutidos por meio de exemplos que vão da implementação das primeiras APIs, nos anos 2000, aos desafios recentes, em especial após o escândalo Cambridge Analytica.
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Walsh, Toby. "Experiments in Social Media." AI Magazine 40, no. 4 (December 20, 2019): 74–77. http://dx.doi.org/10.1609/aimag.v40i4.2868.

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Social media platforms like Facebook and Twitter permit experiments to be performed at minimal cost on populations of a size that scientists might previously have dreamed about. For instance, one experiment on Facebook involved more than 60 million subjects. Such large-scale experiments introduce new challenges as even small effects when multiplied by a large population can have a significant impact. Recent revelations about the use of social media to manipulate voting behavior compound such concerns. It is believed that the psychometric data used by Cambridge Analytica to target US voters was collected by Dr Aleksandr Kogan from Cambridge University using a personality quiz on Facebook. There is a real risk that researchers wanting to collect data and run experiments on social media platforms in the future will face a public backlash that hinders such studies from being conducted. We suggest that stronger safeguards are put in place to help prevent this, and ensure the public retain confidence in scientists using social media for behavioral and other studies.
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Buturoiu, Raluca. "Thoughts on Antisocial Media. How Facebook Disconnects Us and Undermines Democracy by Siva Vaidhyanathan." Romanian Journal of Communication and Public Relations 22, no. 1 (May 15, 2020): 145. http://dx.doi.org/10.21018/rjcpr.2020.1.292.

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Research interests in this area have revolved around illuminating the dark side of social networking sites (especially Facebook and Twitter). And the light thrown has at times been quite harsh. Here are a few examples of how Facebook has been being portrayed since 2016: “the biggest threat to our democracy”, as Cambridge Analytica whistleblower Brittany Kaiser1 says; “a digital gangster destroying democracy” (Cadwalladr, 2019); a tool which is “rotting democracy from within” (DemDigest, 2019); a “machine” which “disconnects us and undermines democracy”. The latter are Siva Vaidhyanathan’s words, and they make for a telling introduction to the analysis he develops in his 2018 book Antisocial Media. How Facebook Disconnects Us and Undermines Democracy.
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Wong, Janis. "The ‘Personal’ in Personal Data: Who is Responsible for Our Data and How Do We Get it Back?" Legal Information Management 20, no. 2 (June 2020): 103–5. http://dx.doi.org/10.1017/s1472669620000249.

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In our data-driven society, every piece of technology that connects us to the internet collects our personal data (any information relating to an identified or identifiable natural person), building elaborate profiles on what we are doing, where we are, and even who we are. As data subjects (those about whom personal data are collected), we can no longer hide from data controllers (those who collect and determine what these data are used for). With every data breach and data sharing revelation from Cambridge Analytica to Google’s Project Nightingale, our personal data is becoming less personal, where data attached to our identity are no longer in our control and becomes harder for us to identify who is responsible.
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Vercelli, Ariel Hernán. "El extractivismo de grandes datos (personales) y las tensiones Jurídico-Políticas y tecnológicas vinculadas al voto secreto." THEMIS Revista de Derecho, no. 79 (November 21, 2021): 111–25. http://dx.doi.org/10.18800/themis.202101.006.

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El poder, alcance y capacidad tecnológica de ciertos Estados y sus corporaciones plantea nuevos y complejos desafíos para las democracias del siglo XXI. El extractivismo de grandes datos personales, la creación de perfiles psicográficos de los ciudadanos y el envío de propaganda política microsegmentada pueden afectar el voto secreto y debilitar la democracia.En este artículo se retoma el caso Facebook Inc. – Cambridge Analytica con el objeto de analizar como el extractivismo de grandes datos personales, la violación de la privacidad y el uso de psicografía pueden favorecer la manipulación de personas, grupos, comunidades y poblaciones. El artículo forma parte de una investigación mayor que busca repensar las regulaciones de internet y fortalecer las democracias en la era digital.
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37

Martins, Marcelo Guerra, and Victor Augusto Tateoki. "Proteção de dados pessoais e democracia: fake news, manipulação do eleitor e o caso da Cambridge Analytica." Revista Eletrônica Direito e Sociedade - REDES 7, no. 3 (October 21, 2019): 135. http://dx.doi.org/10.18316/redes.v7i3.5610.

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Dentro do contexto da Sociedade da Informação, o presente artigo analisa a importância da proteção dos dados pessoais deixados por usuários na internet, com fins de minimizar eventual manipulação do eleitor por meio de instrumentos como fake news ou propaganda direcionada. Dentre outros males, esses expedientes maliciosos obscurecem a figura do candidato no que se refere ao seu passado, suas ideias e proposições mais relevantes. O artigo descreve o caso da Cambridge Analytica que, a partir da colheita de dados de milhões de potenciais eleitores, inclusive obtidos de forma bastante questionável, produziu material especificamente direcionado segundo diversos perfis anteriormente determinados. Acredita-se que essa atuação acabou por influenciar, em níveis ainda a serem melhor averiguados, a eleição presidencial norte americana de 2016, que culminou na vitória do candidato republicano Donald Trump. O artigo também aborda como algumas legislações passaram a tratar do tema da proteção dos dados pessoais em ambientes virtuais. No que tange à metodologia, trata-se de um estudo qualitativo com resultados obtidos primordialmente por indução.
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38

Ekdale, Brian, and Melissa Tully. "African Elections as a Testing Ground: Comparing Coverage of Cambridge Analytica in Nigerian and Kenyan Newspapers." African Journalism Studies 40, no. 4 (October 2, 2019): 27–43. http://dx.doi.org/10.1080/23743670.2019.1679208.

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39

Feigelman, Artem. "Digital sets: power and subjectivity in the era of new media." Digital Scholar Philosopher s Lab 4, no. 1 (2021): 29–36. http://dx.doi.org/10.32326/2618-9267-2021-4-1-29-36.

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This paper is a reply to Evgeniy Maslanov’s article “Challenges of Digitalization for Technogenic Civilization”. Emphasizing the total impact of digitalization on modern society, the author tends to agree with E. Maslanov that at the moment human existence is proceeding in a hybrid mode, for which the “real-virtual” dichotomy seems irrelevant. Being in this mode, a person leaves a digital footprint on the network, which forms her or his digital identity. The latter turns out to be “transparent”, vulnerable to instrumental influence from outside. Digital footprints are totalized into gigantic amounts of big data that can be used for social manipulation, as evidenced by the Cambridge Analytica case study. The manipulative activity of Cambridge Analytica fits into the context of the post-truth policy, which tends to ignore the facts in favor of false information that brings pragmatic benefits to the subject of the statement. This article argues that the complexity of social dynamics characteristic of the digital age is balanced by new means of description and analysis that enable us to better understand and navigate modernity. Nevertheless, a total description and thus stabilization of social reality seems impossible, given its advantageously network nature. The flip side of digitalization includes increased control within labor relations, blurring the boundaries between work and home as blurring the distinction between the “real” and the virtual. Along with it, the digital space is becoming a space of emancipation, where individuals-singularities form sets freed from violent unity (in the terms of Michael Hardt and Antonio Negri). The multitudes unfold their subjectivity in opposition to the social system, to which they oppose networked col-lective action and solidarity. The article concludes about the dialectical role of digitalization, which can serve as both a means of control and a means of emancipation. Thus, the challenges of digitalization seem not so much a technological call as a social one.
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Afriat, Hagar, Shira Dvir-Gvirsman, Keren Tsuriel, and Lidor Ivan. "“This is capitalism. It is not illegal”: Users’ attitudes toward institutional privacy following the Cambridge Analytica scandal." Information Society 37, no. 2 (March 11, 2021): 115–27. http://dx.doi.org/10.1080/01972243.2020.1870596.

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41

Bercholc, Jorge O. "Las nuevas tecnologías de la información y comunicación (TIC) y sus efectos en los institutos de participación y representación política." Anales de la Facultad de Ciencias Juridicas y Sociales de la Universidad Nacional de La Plata, no. 50 (December 27, 2020): 055. http://dx.doi.org/10.24215/25916386e055.

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El comportamiento electoral de los votantes y las exitosas estrategias electorales en algunos resonantes ejemplos recientes, han generado perplejidad sobre los efectos e influencias que las tecnologías digitales pueden generar en los procesos de participación y representación política.El big data; los filtros y elecciones por dispositivos de algoritmos a través de los cuales se accede a la avalancha de información existente en la red; el avance sobre la privacidad e intimidad de estos dispositivos para la obtención de los datos que construyen el big data, a través de la propia huella digital que los usuarios proveen;; los efectos de fragmentación, interseccionalidades y polarización;; los Catch Each Party; el fenómeno de Cambridge Analytica. ¿Cómo se relacionan estas novedades tecnológicas con los institutos de participación, representación y los procesos electorales?
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42

Haliliuc, Alina. "Democracy and Deliberation in the Age of Facebook." Romanian Journal of Communication and Public Relations 22, no. 1 (April 1, 2020): 139. http://dx.doi.org/10.21018/rjcpr.2020.1.291.

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In 2016, we witnessed two shocking political decisions in stable democracies: the election of Donald Trump as American president and the United Kingdom’s referendum to exit the European Union membership. After the scandal of Cambridge Analytica mining Facebook data to influence the 2016 U.S. elections, a public conversation began to question the role of data use, surveillance practices, and especially of social media companies such as Facebook in shaping democracies. Siva Vaidhyanathan’s book, Antisocial Media. How Facebook Disconnects Us and Undermines Democracy (Oxford UP, 2018), paints the larger picture of the logics by which Facebook operates. It encourages readers to understand not only political outcomes such as Brexit and the U.S. elections, but also the erosion of democracy globally (from India to Poland and Hungary) as the result of media logics of audience fragmentation, narrowcasting, and discursive polarization.
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43

Manokha, Ivan. "Le scandale Cambridge Analytica contextualisé: le capital de plateforme, la surveillance et les données comme nouvelle « marchandise fictive »." Cultures & conflits, no. 109 (July 20, 2018): 39–59. http://dx.doi.org/10.4000/conflits.19779.

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44

Laterza, Vito. "Could Cambridge Analytica Have Delivered Donald Trump’s 2016 Presidential Victory? An Anthropologist’s Look at Big Data and Political Campaigning." Public Anthropologist 3, no. 1 (March 4, 2021): 119–47. http://dx.doi.org/10.1163/25891715-03010007.

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Abstract I first provide some context about Cambridge Analytica’s (ca) activities, linking them to ca parent company, scl Group, which specialised in “public relations” campaigns around the world across multiple sectors (from politics to defence and development), with the explicit aim of behavioural change. I then analyse in more detail the claims made by mathematician and machine learning scholar David Sumpter, who dismisses the possibility that ca might have successfully deployed internet psychographics (e.g. online personality profiling) in the winning 2016 Trump presidential campaign in the US. I critique his arguments, pointing at the need to focus on the bigger picture and on the totality of ca methods, rather than analysing psychographics in isolation. This is followed by a section where I use ca whistleblower Christopher Wylie’s 2019 memoir to show the important role that in-depth qualitative research and methods akin ethnographic immersion might have played in building ca big data capabilities. I provide an angle on big data that sees it as complementary, rather than in opposition to, human insight that comes from qualitative immersion in the social realities targeted by ca. The concluding section discusses additional questions that should be explored to gain a deeper understanding of how big data is changing political campaigning, with an emphasis on the important contribution that anthropology can make to these crucial debates.
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45

Alcantara, Juliana. "#DeleteFacebook: Estudo de caso sobre a dinâmica do uso da hashtag no Twitter." Vozes e Diálogo 18, no. 01 (August 8, 2019): 61. http://dx.doi.org/10.14210/vd.v18n01.p61-74.

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O trabalho analisa a dinâmica da hashtag #DeleteFacebook no Twitter, que alcançou o ranking dos tópicos mais comentados em março de 2018. A etiqueta online surgiu em meio à polémica sobre proteção de dados, quando houve midiatização sobre vazamento de informações envolvendo a empresa de marketing político Cambridge Analytica. O objetivo do estudo é encontrar as principais causas para o desempenho da etiqueta online. A abordagem metodológica é quantitativa e privilegia o método hipotético-indutivo. Consideram-se as possibilidades de que ou influenciadores digitais, ou a mídia tradicional, ou o movimento social tenha sido responsável por condicionar a opinião pública. Os resultados mostram que poucas postagens foram suficientes para um alto alcance da hashtag. A mensagem de maior engajamento é do criador do Whatsapp, Brian Acton, que sensibilizou as audiências ao mesmo tempo que perfis oficias da imprensa norte-americana endossaram o afastamento dos usuários do Facebook.
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Deley, Trevor, and Elizabeth Dubois. "Assessing Trust Versus Reliance for Technology Platforms by Systematic Literature Review." Social Media + Society 6, no. 2 (April 2020): 205630512091388. http://dx.doi.org/10.1177/2056305120913883.

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We do not trust technologies like we trust people, rather we rely on them. This article argues for an emphasis on reliance rather than trust as a concept for understanding human relationships with technology. Reliance is important because researchers can empirically measure the reliability of a given technology. We first explore two frameworks of trust and reliance. We then examine how reliance can be measured by conducting systematic literature reviews of reported success metrics for given technologies. Specifically, we examine papers which present models for predicting private traits from social media data. Of the 72 models for predicting private traits that were surveyed from 31 papers, 80% of the methods reported success rates lower than 90%, indicating a general unreliability in predicting private traits. We illustrate the current applicability of this method throughout the article by discussing the Cambridge Analytica scandal that began during the 2016 US Presidential election.
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47

Bachmann, Philipp. "Public relations in liquid modernity: How big data and automation cause moral blindness." Public Relations Inquiry 8, no. 3 (July 21, 2019): 319–31. http://dx.doi.org/10.1177/2046147x19863833.

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Despite coming from a world-famous, widely published sociologist and ethicist, Zygmunt Bauman’s thought has not significantly influenced scholarship on public relations. Although Bauman’s works indeed challenge classical theories of public relations, they also offer concepts that can reshape current understandings of how organisations interact with publics. Referring to Bauman’s social and ethical theory, in this article, I argue that amid the transition from solid to liquid modernity, the boundaries between public relations and other communications disciplines also become liquid and ultimately dissolve. As a consequence, experts from traditional disciplines within communications (e.g. public relations, marketing and corporate communications) increasingly compete with data engineers to influence publics, and in the process, their attempts at persuasive communication neglect moral considerations. In light of that dynamic, I contend that the recent data scandal involving Cambridge Analytica does not represent a false start but the dark future of digital communications management.
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48

Dormal, Michel. "Von Gallup zu Big Data. Rekonstruktion und Neujustierung der Debatte über Meinungsforschung und Demokratie." Zeitschrift für Politikwissenschaft 31, no. 1 (February 25, 2021): 1–24. http://dx.doi.org/10.1007/s41358-021-00252-9.

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ZusammenfassungAusgangspunkt des Beitrags ist die Feststellung, dass im Zuge aktueller Debatten über Big Data, wie sie etwa der Skandal rund um Cambridge Analytica und Facebook provozierte, eine Reihe von weiterhin unbeantworteten Fragen wieder auftauchen, die bereits in der älteren Kontroverse rund um das Verhältnis von Demoskopie und Demokratie verhandelt wurden. Auf diese Kontroverse wird daher entlang der vier Punkte Aufklärung, Gleichheit, Teilhabe und gutes Regieren ein neuer Blick geworfen. Im Ergebnis wird ein demoskopischer und ein konfigurativer Modus der Verdopplung von Gesellschaft idealtypisch unterschieden. Beide haben an einer modernen Entwicklung teil, in der von Einheit auf Pluralität umgestellt wird. Im Sinne eines demokratietheoretischen Pluralismus wird versucht, Minimalbedingungen einer komplexen Balance zu benennen und mögliche Herausforderungen derselben durch neue Technologien herauszuarbeiten. Diese zugleich offene und auf einer gewissen Abstraktionshöhe angesiedelte Perspektive vermag nicht nur, die Kontinuität in der Diskontinuität und die Herausforderungen durch Big-Data-gestützte Formen der Demoskopie neu zu beschreiben, sondern eignet sich auch als Heuristik für konkrete Problemfelder.
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Napoli, Philip M. "The symbolic uses of platforms: The politics of platform governance in the United States." Journal of Digital Media & Policy 12, no. 2 (June 1, 2021): 215–30. http://dx.doi.org/10.1386/jdmp_00060_1.

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Unlike many other countries around the world, the United States has taken relatively little substantive action in the realm of platform governance, despite the United States being directly impacted by occurrences such as Russian interference in the 2016 election, domestic disinformation related to the 2020 election, the Cambridge Analytica data breach scandal and the ‘infodemic’ of misinformation that has accompanied the Coronavirus pandemic. Yet the past four years have involved numerous Congressional hearings on various aspects of platform governance and a multitude of bills have been introduced addressing a similarly wide range of platform governance issues. With so many indicators of potential government action over the past half-decade, but so few actual policy interventions, platform governance appears to be a prime example of a policy-making context in which symbolic actions are taking precedence over substantive actions. This article illustrates this dynamic through an analysis of recent platform governance developments in the United States.
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Barnes, Robin. "Weapons of mass distraction." Northern Ireland Legal Quarterly 69, no. 4 (December 7, 2018): 475–512. http://dx.doi.org/10.53386/nilq.v69i4.188.

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The Circle invites an ever closer look at the ethos of current and emerging surveillance technology. Dave Eggers’ novel foreshadowed the culminating moments in 2018, when high-powered social media platforms generated a maelstrom of controversy in the US and UK and then nothing changed. Concern over the integrity of electoral processes around the globe has risen to new heights, as privacy experts warn that unfettered growth of surveillance capitalism could change democracy forever. Far from a case of unintended consequences run amok, corporate tech executives admit that continual mining of personal data for unrestricted use by corporations and political operatives that specialise in psychological manipulation were part of the original design. The dark side of all this connectivity as highlighted by the ruckus over Cambridge Analytica places mainstream news producers squarely under the microscope. This article examines the wilderness between the goal of reporting in the public’s interest and the current role of news organisations.
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