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Cambridge Analytica: Ethics And Online Manipulation With Decision-Making Process

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https://dx.doi.org/10.15405/epsbs.2018.12.02.10
18th PCSF 2018
Professional Culture of the Specialist of the Future
CAMBRIDGE ANALYTICA: ETHICS AND ONLINE
MANIPULATION WITH DECISION-MAKING PROCESS
Elena L. Boldyreva (a)*, Natalia Y. Grishina (b), Yekaterina Duisembina (c)
*Corresponding author
(a) Peter the Great St. Petersburg Polytechnic University (SPbPU), Polytechnicheskaya 29, Saint Petersburg, 195251
Russia, elena1971@yandex.ru, +7 (921) 3327469
(b) Peter the Great St. Petersburg Polytechnic University (SPbPU), Polytechnicheskaya 29, Saint Petersburg, 195251
Russia, nygrishina@gmail.com, +7 (952) 2377027
(c) the School of International Relations of the St. Petersburg State University; yduisembina@gmail.com,
+79681844844
Abstract
The text explores theoretical foundations of the modern processes connected to decision-making in
global politics. The influence the fast developing Internet technologies have on the political situation in
different countries is studied through the lens of Cambridge Analytica case. The authors of the text research
and present the situation with Cambridge Analytica in a chronological order. Possible long-term influence
of the situation is presented along with the predictions related to the online meddling with decision-making
processes in politics in the future. The world has not met such a precedent before. It is very difficult to
make further predictions. It is obvious that the American model, in other words Silicon Valley model, of
information society development, driven by the market, is seriously disrupted. More likely that the reason
for the failure is in the absence of an appropriate legal basis or deficiency in law. Legislators of many
countries and international organizations such as the EU and others are currently trying to eliminate these
gaps. The most likely scenario for further events are the following. To develop legislative basis which will
help to restrict significantly the operation of companies like Cambridge Analytica and exclude the
possibility of the worldwide uncontrolled use of personal data in social networks. The research
methodology is based on the theory of technological determinism.
© 2018 Published by Future Academy www.FutureAcademy.org.UK
Keywords: Big data, Cambridge Analytica, elections, Facebook, politics, the internet.
http://dx.doi.org/10.15405/epsbs.2018.12.02.10
Corresponding Author: Elena L. Boldyreva
Selection and peer-review under responsibility of the Organizing Committee of the conference
eISSN: 2357-1330
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1. Introduction
The fact is obvious that “the world stands at the verge of fundamental changes in societal
functioning. The Internet, as one communication tool, creates dramatic changes in the world, but states do
not surrender.”(Duck interview with the Chairman of Pirate Party of Iceland, 2014). Modern political
science quite rapidly mirrors current changes in social networks as well as in information society theory
(Grishina, 2013). The great popularity of the Internet and the widespread use of mobile information and
communication technologies has significantly changed the social environment and social communication
(Bylieva, Lobatyuk, & Rubtsova, 2017). The Internet and information technologies are spreading
worldwide at such a frenetic pace that sometimes there is not even a chance to catch up with these constantly
emerging phenomena (Aladyshkin, Kulik, Michurin, & Anosova, 2017; Gashkova, Berezovskaya, &
Shipunova, 2017; Bylieva, Lobatyuk, & Rubtsova, 2018). The ubiquitous usage of personal data of social
network users by Facebook and Cambridge Analytica may be considered as one example of such
phenomenon.
This relatively new phenomenon as well as the ethical aspect of the unofficial and uncontrollable
usage of personal data have been researched in detail in this article. Moreover, the events following the
circumstances that came to light and led to the bankruptcy of Cambridge Analytica, the implementation of
stricter rules regarding the usage of personal data and the adaptation of GDPR (General Data Protection
Regulation, 2016) have been analyzed by the authors.
2. Problem Statement
There are some theories that analyze the influence of Internet technologies on decision-making
process: information society theories, functionalism, structuralism, public sphere theory by Habermas
(1981) and others.
Personal data is any information with direct or indirect links to an individual. European Union
Directive defines it as a unique information that identifies an individual (Directive 95/46/EU).
The information society theory by Nesbitt (1992), Toffler (1990), Masuda (1980) adheres the idea
that contemporary society may be characterized by the tremendous growth of production, exchange and
consume of information. The term “information society” was developed by Machlup in 1962 and first met
in his book “The Production and Distribution of Knowledge in the United States” (Machlup, 1962).
Castells made a huge impact on the development of the information society theory. In his work “The
Information Age: Economy, Society and Culture” (Castells, 1996) he mentions that the Internet supports
the new structures of social communication but not very homogeneously. Different users has different
attitude and needs in information. From the one hand, these are “the minority of global village inhabitants”,
“first comers to the digital border”. From the other hand, they are the “nomads” who appear in different
networks irregularly.
The former is prone to consider computer communication language as a new tool that is informal,
spontaneous, and anonymous. The latter considers email as a revenge over writing system and return to
typographic thinking (Kostina, 2010; Spihunova, Rabosh, Soldatov, & Deniskov, 2017).
Touraine (1997), a French sociologist, in his work “Can We Live Together?: Equality and
Difference” assumes that “information is considered less as an exchange tool but more as emissions”. He
http://dx.doi.org/10.15405/epsbs.2018.12.02.10
Corresponding Author: Elena L. Boldyreva
Selection and peer-review under responsibility of the Organizing Committee of the conference
eISSN: 2357-1330
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says that it is possible to name this phenomenon as a promotion or propaganda if not in the pejorative
meaning.
The information is more connected with the decision-makers and power-holders. In addition, the
skill of programming is a very powerful tool. It gives “mass media more power and thus – money”
(Touraine, 1997).
Innis (1951) and McLuhan (McLuhan & Fiore, 1967) of the Toronto School of Politics consider the
media as a main tool of social communication. McLuhan & Fiore (1967) give evidence that some media
supports political communication. On the other hand, it may hinder communication between politics and
society. This is one of the reasons why new media has such a dramatic influence on political life. It leads
to the changes in political system of any country (McLuchan & Fiore, 1967).
Boldyreva and Grishina (2017) analyze the influence of the Internet on political system
transformation in a single country (2017). Evseeva, Bashkarev, Pozdeeva, & Tarakanova, (2017),
Almazova and Kogan (2014), Pogodin (2017), Skorniakova and Safonova (2017) and Duisembina (2018)
researched the influence of new Internet technologies on the political sphere in Russia in details.
The “big data” theory by Leench may be considered as the most influential. It appeared in the
beginning of this century when it became technically possible to process the big data files. This theory
analyses such ideas as volume, velocity and variety with which any structured and big data files are
processed. It is known as 3Vs theory (Chen, 2014).
The work of Sudhahar, Veltri and Cristianna gives a vision on the big data interaction and influence.
They base the theory on the analysis of big data automated acquisition considering the case with presidential
elections of 2012 in US (Sudhahar, Veltri, & Cristianini, 2015). The authors and Arseniev, Ivanov and,
Korenevsky (2018) prove that the big data helps to understand how different processes happen and develop
not only in social networks but outside as well.
Minkin in one of his interviews (“Artificial intelligence will replace deputies and politologists”,
2018) defines artificial intelligence as a technology of data analysis that gives great opportunities of
collecting data. Advertising becomes targeting. It means that potentially there is information about any
citizen. This information gives a chance to analyze the preferences and needs of a voter and thus design the
electoral campaign. Politics is just one of the sphere where these technologies may be used.
Bisbee and Larson (2017) compare the character and the consequences of social networks
connections. They create an experiment on data analysis with new technology of the data engine. Authors
say that online data is quite possible to be used in real media. They base their conclusions on three tests: k-
fold cross validation to analyze RMS error, absolute error and Bayesian information criterion. Bisbee and
Larson are sure that social network resembles the real world relationships in its character and functions.
The Internet obviously is just one tool that shows how digital communication and information
storage technologies develop. Communication tools may be divided into “two big groups: natural
(nonverbal and verbal) and artificial (paper and electronic). The Internet belongs to artificial and electronic
group along with TV and radio... One of the reason for artificial tools to appear is a need to communicate
in the differentiated society” (Bykov, 2013, p.39). With the development of the Internet the communication
model “one-to-many” was changed into “many-to-many”. It made communication more interactive and
effective. Any person has a chance to create their own informational content and participate in the
http://dx.doi.org/10.15405/epsbs.2018.12.02.10
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eISSN: 2357-1330
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discussion of the content of different participants. O’Reilly (2005) says that Internet communications allow
engaging “collective mind” and “wisdom crowd” which leads to a win-win decision.
Toffler (1990), Snider (1994), Grossman (1995) and others say that Internet spreads
overwhelmingly. As a result, it is very possible to go back to a direct democracy now. They try to find out
the place of democracy in modern information world and forecast its development when using all the
opportunities of information society.
However, the recent events show the reverse processes are happening with the development of new
technologies. It becomes quite clear that it is not enough for companies to use just contextual advertising.
They want to know practically everything about users: itineraries, travel directions, search requests and
political preferences. No doubt that not only political parties but even states find it very effective to form
political preferences of voters. Barlow (“John Barlow sends his warmest greetings to copyrasts and SOPA
followers: the lecture in Russia”, 2012) says, “It seems that we are watching probably the last and agony
try of old state models to subdue the information space”.
Since the beginning of 2000 ideologists and followers of hacking, cyberpunk and net
libertarianism discuss the possibilities of these information trends. Net libertarianism may be considered as
“informal ideology, virtually established in cyber space of global network which main idea is to maximize
the hindrance of a state in process of information flows” (Emelin, 2017). “The declaration of cyberspace
independence” by Barlow (2017) may be considered as the main program document. All three ideologies
speak about free self-expression and speech, autonomy of net space from state and its coercion. Pirate
parties are the main constituent parts of these three ideologies. They are becoming more popular in different
countries: Iceland, Check Republic, Sweden and others.
Zakaria (2018) says, “Today the digital economy is based on three basic technologies which are
computer chip, Internet and GPS. All of them appear thanks to a state. The favor of the two last technologies
definitely belongs to a state. They were under control of a government before they have become available
to a private sector. Many people do not understand that GPS as the global system of sputnik allocution and
control centers is very important to modern economy. Up to the moment it is under control of US Air
Force”. There is still hope that democratic countries will manage to control unsupervised use of personal
data. Otherwise, the results of using data technologies by authoritarian regimes such as China, India, and
South Korea etc. may become a big threat.
Zakaria mentions that India has its own state biometric identification system Aadhaar, which
comprises data of almost all of the country’s citizens. India may become a pioneer in the private data
protection. On the other hand, no one can stop the Indian government to use this technology for its own
purposes.
In 2018, European Union has taken into consideration the problem of uncontrollable use of huge
bulk of personal data not only of social network users. The old Directive of European Parliament and
European Union Council of 1995 speaks about “protection of private data and about free use of such data”
(Directive 95/46/EU). It was changed into new General Data Protection Regulation. All the companies that
have relations with EU citizens and process their personal data including energy and financial companies,
telecom operators and reservation services, Internet shops and social networks, are under these regulations.
According to Balashov (2018), the GDPR now “refers not only to collected personal data, but also to
http://dx.doi.org/10.15405/epsbs.2018.12.02.10
Corresponding Author: Elena L. Boldyreva
Selection and peer-review under responsibility of the Organizing Committee of the conference
eISSN: 2357-1330
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monitoring the behavior of the data subject, it may be profiles in social networks, geolocation, etc. for
targeting and personalizing advertising”. Since the beginning of 2018, IP addresses have been considered
as a part of user’s personal data. The concepts of a data controller and a data processor were separated. The
first, who is the process manager, is more responsible than the second one, who is an executor such as cloud
storage, processing program, etc.
3. Research Questions
The personal data is used to achieve the political goals of individuals or companies. Moreover, the
situation with the uncontrolled use of personal data of more than just social network users is analyzed
unscrupulously.
4. Purpose of the Study
This relatively new phenomenon as well as the ethical aspect of the unofficial and uncontrollable
usage of personal data have been researched in detail in this article. Moreover, the events following the
circumstances that came to light and led to the bankruptcy of Cambridge Analytica, the implementation of
stricter rules regarding the usage of personal data and the adaptation of GDPR (General Data Protection
Regulation, 2016) have been analyzed by the authors.
5. Research Methods
The research methodology is based on the theory of technological determinism.
6. Findings
In this article, we consider the case with Cambridge Analytica as it is one of the remarkable examples
of using personal data to fulfill political strategy in a voting campaign.
The official site of Cambridge Analytica promotes its activity as a combination of predictive
analytics, behavioral science and advertising technologies based on data collection. The aim of this
combination is to form a target audience and to use the data to persuade and motivate the voters (The CA
advantage, 2018).
Cambridge Analytica was mentioned in press in the beginning of 2015 for the first time. The
company was used during the campaign of Ted Cruz. Later on, in December 2015 the world learned about
the use of personal data of Facebook users (Davies, 2015). According to different media sources, Strategic
Communications Laboratories, which is the parent company of Cambridge Analytica, was working with
Global Science Research (GSR). They design Facebook database. GSR founder Kogan A. was at the head
of data collection processes. He used Amazon Mechanical Turk, or MTurk, through which the users were
presented with an opportunity to do routine and minimum paid job Kogan offered the users to do online
survey in exchange for the payment of 1-2$. In order to complete the survey, the users were asked to connect
their Facebook accounts to the website. This automatically led to unintentionally connecting Facebook
“friends” of a user – the information of these “friends” became available for data collectors as well. This
http://dx.doi.org/10.15405/epsbs.2018.12.02.10
Corresponding Author: Elena L. Boldyreva
Selection and peer-review under responsibility of the Organizing Committee of the conference
eISSN: 2357-1330
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“seeding” technique proved to be very effective. Through one user only it was possible to get the
information about a huge group of people. One user brought around 340 “friends” on average according to
the information based on 2014 statistics. The information about the location and interests of available users
was gathered and analyzed with the five-factor model dispositional model of personality (Positive
Psychology Program, 2017). The analysis could unravel such traits of a person as extraversion,
benevolence, conscientiousness, emotional stability and openness to experience, as well as their opposites.
Amazon has blocked GSR access to MTurk after numerous complaints.
At that time, two candidates associated with Cambridge Analytica were Ted Cruz and Ben Carson.
Federal Election Commission documents showed that Cruise’s campaign paid Cambridge Analytica at least
$ 750 000, and Carson’s campaign paid about $ 220 000 (Davies, 2015). Consequently, Facebook became
very concerned about this information. It announced a thorough investigation and asked Cambridge
Analytica to remove any information that was received via Facebook. Later on Facebook representative
reported that “their investigation did not trace any illegal activity” (Schwartz, 2017). In 2017, GSR was
reported to have data of around 30 million Facebook users received through different data sources
(Schwartz, 2017). In March 16, 2018 Facebook gave commentary on the situation with Cambridge
Analytica. The representatives unraveled the fact that despite the promises of Cambridge Analytica to
destroy all data it did not happen. Wylie, a CA employee, provided all information about Cambridge
Analytica to press. He, together with Kogan, were suspended from the company pending further
investigation (Grewal, 2018).
New York Times published an article in March 18, 2018 with the overwhelming picture and scale
of CA data collection (Rosenberg & Frenkel, 2018). The investigation revealed that CA had collected the
personal information of at least 50 million users. Probably, it could be the biggest “leak” of data in the
history of Facebook, although the legitimacy of using the term “data leakage” is a subject of wide
speculations. Therewith, it became evident that Cambridge Analytica still had access to all the data
previously collected. Facebook reacted with another statement stating that “the data breach” is not a true
vision of a situation, since all users have provided their information voluntarily. No company gained any
personal data illegally (Grewal, 2018).
It is worth to mention that CA is operating not only in the US. Currently, the investigation is
conducted on the involvement of the CA in Brexit, as well as in the situation in Russia and Ukraine (Farias,
2018).
Edward Snowden comments “businesses that make money by collecting and selling detailed records
of private lives were once described as “surveillance companies” rebranded into “social media” (Snowden,
2018). Events with Cambridge Analytica led to an unprecedented fall of Facebook stocks (Facebook
interactive stock chart, 2018) and a massive negative reaction from not only users of this social network,
but the entire world community.
The situation became much worse when Channel 4 News broadcasted hidden camera footage with
negotiations and phone calls of Cambridge Analytica chief executive Alexander Nix and other employees
of the company (“Cambridge Analytica: Warrant sought to inspect company”, 20 March 2018). It is
crucially important to understand that we can’t fully rely on these hidden camera records. On the other hand
http://dx.doi.org/10.15405/epsbs.2018.12.02.10
Corresponding Author: Elena L. Boldyreva
Selection and peer-review under responsibility of the Organizing Committee of the conference
eISSN: 2357-1330
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they create an overview of the influence of CA and other analytical companies on the political situation,
and especially on online politics.
The representatives of Cambridge Analytica pointed out that first, CA operates not only in the US,
but also in Africa, Mexico, and Malaysia and in the nearest future in Brazil, China and Australia.
Second, the target audience is formed by psychological practices, which may include such issues as
information perception and the manipulation of human hopes and fears. It is very worth to mention that
election campaigns should be based not on facts, but on emotions, which are considered as a more effective
incentive in decision-making process.
Third, CA was mentioned to participate in the 2017 elections in Kenya. The company designed the
electoral campaign, as well as took part in its rebranding and research on more than 50 thousand
respondents.
Forth, Nix in one of his phone calls names CA “the largest and most influential political consulting
company in the world, with the most impressive results”.
After Channel 4 News published these records, CA released a statement that “Cambridge Analytica
is not in the business of fake news, we’re not in the business of lying, making stuff up, and we’re not in the
business of entrapment…” (“Cambridge Analytica responds to use of entrapment and mischaracterization
by Channel 4 News”, 19 march 2018). While analyzing such public materials it is crucial to understand that
the information that unmasked to the audience is not full. It may lead to a massive discrimination and
prepossession which may be easily directed by the media and bring serious consequences as it happened
with Alexander Nix, the executive director of CA (A Statement from the Board of Directors, 2018).
Although the reaction of the Congress and the US Parliament to the situation with Cambridge
Analytica and Facebook was rather neutral, the Federal Trade Commission decided to conduct its own
investigation (Statement by the Acting Director of FTC’s Bureau of Consumer Protection Regarding
Reported Concerns about Facebook Privacy Practices, 2018). The reaction of the British government was
negative. Mark Zuckerberg, Facebook chief executive refused the request of the UK parliament to speak
about data abuse (Griffin, 2018). British lawmakers have long referred to Facebook as an “intelligence
operation” where the company and its users are having the “abusive relations” (Kozlowska, 2018).
According to British law, foreign actors have no right to pay for political advertising. According to I. Lucas,
Labor Party representative, Facebook gets payments for advertising and thus “promotes an illegal act”. He
believes that the problem is with Facebook that refuses to provide any specific information about its
operations and the scale of the personal data collection.
The investigation with Cambridge Analytica and Facebook caused Facebook loss of more than 100
billion dollars in the first weeks after the scandal (Kramer, 2018). As for now the economy of the world-
famous social network remains very unstable. Zuckerberg is trying to keep the situation under control. He
publicly apologized (Wiener-Bronner, 2018), and also explained the situation to the US Congress (Watson,
2018). The reaction of the public to this was rather ambiguous.
Although the precedent with Cambridge Analytica is dying down a bit, many articles still appear in
different sources about Facebook data abuse. For example, about data collection and storage of phone calls
and messages in Android (Warren, 2018). It is not very clear now how much information about Cambridge
http://dx.doi.org/10.15405/epsbs.2018.12.02.10
Corresponding Author: Elena L. Boldyreva
Selection and peer-review under responsibility of the Organizing Committee of the conference
eISSN: 2357-1330
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Analityca operations will be brought to light in future but for now the scandal around Cambridge Analytica
is obviously huge.
In April 18, Facebook responds to new EU regulations and announces new rules related to the
protection of personal data (Ong, 2018).
The report of May 2, 2018 at the official site of CA says that SCL Elections Ltd and affiliated
company Cambridge Analytica filed application to commence bankruptcy proceedings. The report states
that “over the past several months, Cambridge Analytica has been the subject of numerous unfounded
accusations and, despite the Company’s efforts to correct the record, has been vilified for activities that are
not only legal, but also widely accepted as a standard component of online advertising in both the political
and commercial arenas” (“Cambridge Analytica and SCL Elections Commence Insolvency Proceedings
and Release Results of Independent Investigation into Recent Allegations”, 2018). The company shows
confidence that it has operated ethically and lawfully. However, because of the siege of media coverage the
company lost virtually all its customers and clients. Thus, CA considers that it has no viability to operate
this business longer.
The situation with Cambridge Analytica (Horwitz, 2018) made the lawmakers find the ways how to
protect personal data of users. As a result, the new General Data Protection Regulation (2016) was ratified
in May 25, 2018. GDPR controls all the companies working with personal data of the EU citizens. GDPR
is applicable to all the companies when they collect and analyze personal data intentionally and consistently
to create user’s profile, as well as decides for the user, analyze and forecast user preferences while using
this data.
In June 15, 2018 the former employees of Cambridge Analytica organized the new consulting
company under the name of Data Propria. Associated Press says that Data Propria is planning to participate
actively in presidential campaign of Donald Trump in 2020. Data Propria gives practically the same service
as Cambridge Analytica does and it includes the design of the electorate psychological profile based on
data from social networks.
7. Conclusion
The situation with Cambridge Analytica is the precedent. It is definitely far from being over and it
is really difficult to give any further predictions. Moreover, for the first time ever the authors give such
detailed and in-depth research of Cambridge Analytica case and anticipate several scenarios for its future
development.
Although the company went bankrupt but managed to partly reopen under a new name Emerdata
Limited (Morris, 2018), the situation with Cambridge Analytica is still far from its end as Facebook
investigations are not over (Rosenberg, 2018). The world has not met such a precedent before. It is very
difficult to make further predictions. It is obvious that the American model, in other words Silicon Valley
model, of information society development, driven by the market, is seriously disrupted. More likely that
the reason for the failure is in the absence of an appropriate legal basis or deficiency in law. Legislators of
many countries and international organizations such as the EU and others are currently trying to eliminate
these gaps.
http://dx.doi.org/10.15405/epsbs.2018.12.02.10
Corresponding Author: Elena L. Boldyreva
Selection and peer-review under responsibility of the Organizing Committee of the conference
eISSN: 2357-1330
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The most likely scenario for further events are the following. To develop legislative basis which will
help to restrict significantly the operation of companies like Cambridge Analytica and exclude the
possibility of the worldwide uncontrolled use of personal data in social networks. Obviously, this tool is
not a panacea. No one can guarantee that a state will not succumb to the temptation to use the technology
for its own purposes. Quite possible that it is happening right now.
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Selection and peer-review under responsibility of the Organizing Committee of the conference
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... Seçimlere dış müdahale vakasını dünya gündemine getiren ve ciddi tartışmalara yol açan ikinci bir skandal ise ''Cambridge-Analytica'' meselesi oldu. Bu skandal çerçevesinde Cambridge Analytica isimli bir İngiliz şirketin Facebook üzerinden milyonlarca insanın kişisel verilerini izinsiz bir şekilde topladığı ve dünyanın farklı ülkelerinde seçim kampanyalarında kullanılmak üzere bu verileri para karşılığı sattığı ortaya çıktı (Boldyreva, 2018). ...
... The second scandal that brought the issue of foreign electoral interference to the world agenda and sparked serious debates was the "Cambridge Analytica" incident. Within this scandal, it was revealed that a British company named Cambridge Analytica illegally collected personal data of millions of people through Facebook and sold this data for use in election campaigns in various countries (Boldyreva, 2018). ...
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Gelişen teknolojiler ve sosyal medyanın da yaygınlaşmasıyla seçimlere dış müdahale konusu dünya genelinde daha fazla tartışılan bir mesele haline geldi. Türkiye’de de seçim güvenliği her ne kadar yoğun bir şekilde gündemi meşgul eden bir konu olsa da Türkçe akademik yazında seçimlere dış müdahale ile ilgili yeterli çalışma yapılmadığı görülmektedir. Bu çalışmada öncelikle seçimlere dış müdahale meselesi kavramsal düzeyde ele alınarak uluslararası literatürde konunun hangi çerçevede tartışıldığı incelenmektedir. Sonrasında tarihsel karşılaştırmalı vaka incelemesi yöntemiyle örnek olaylar incelenerek ABD’nin Soğuk Savaş döneminde üç birbirinden farklı vakada seçimlere nasıl ve hangi yöntemlere başvurarak tarafgir bir şekilde müdahil olduğu mercek altına alınmaktadır. Seçilen vakalar literatürde yer alan çeşitli müdahale biçimlerine örnek teşkil etmesi açısından çeşitliliği sağlayabilmek amacıyla seçilmiştir. Çalışmadan elde edilen verilere göre hegemon güçlerin gizli ve açık olmak üzere iki farklı düzeyde seçimlere müdahil olduğu görülmektedir. ABD gibi ülkelerin kendi siyasi ve ekonomik çıkarları çerçevesinde ilgili ülkede müttefiki kabul ettiği yerel aktörlerin seçimlerde rakiplerine karşı avantaj elde edebilmeleri adına çeşitli yöntemlere başvurduğu anlaşılmaktadır. ABD birçok ülkede açık ya da gizli tehdit, şantaj, ekonomik yaptırımlar ya da ekonomik destek, seçim kampanyalarının fonlanması vb. farklı yöntemler aracılığıyla seçimlere müdahale etmiş ve kendine yakın gördüğü adayın haksız avantaj elde etmesine zemin hazırlamıştır.
... Manipulation, on the other hand, is a phenomenon that is commonly encountered across different disciplines and various application areas (Begtimur, 2022:10). A review of the literature reveals not only the concept of algorithmic/algorithm manipulation (Fletcher, 2021;Galli, 2022;Vangeli, 2023;Fu & Sun, 2024), but also the manipulation concept being addressed in different contexts: digital manipulation (Reaves et al., 2004;Singh et al., 2024;Mucundorfeanu et al., 2024;Elitaş, 2022), market manipulation (Putniņš, 2012;Li et al., 2024), digital market manipulation (Calo, 2013;Greiss, 2021), marketing manipulation (Ljubičić & Vukasović, 2023;Jiaying & Lasi, 2023), consumer manipulation (Witte, 2023;Li & Li, 2023;Reuille-Dupont, 2023;Quinelato, 2024), online manipulation (Susser et al., 2019;Susser et al., 2019a;Boldyreva et al., 2018;Botes, 2023), social media manipulation (Bastos, 2024;Maathuis & Kerkhof, 2023;Maathuis & Godschalk, 2023), FoMO (fear of missing out) manipulation (Tan et al., 2024;McKee et al., 2023), manipulation of needs (Lodziak, 2003;Yılmaz & Tatoğlu, 2024;Senemoğlu, 2017;Rohach & Rohach, 2021). These manipulation concepts can be applied in different areas (e.g., politics, finance), and are particularly common in the field of marketing. ...
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In the 21st century digital age, artificial intelligence (AI) technologies are a technical revolution and a paradigm shift leading to transformations in a wide range of areas, from consumption practices to ethical norms, from individual preferences to social structure. This book examines the effects of artificial intelligence in the context of marketing and consumer behaviour in a multidimensional manner and evaluates both opportunities and threats from an academic perspective. Each chapter focuses on different aspects of AI and provides in-depth analyses with an interdisciplinary approach. From approaches that discuss how consumer autonomy is being eroded to ethical dilemmas encountered in AI-supported advertising, from the effects of unrealistic beauty ideals on individuals' self-perception to algorithmic manipulations and fake evaluation systems, many topics are comprehensively covered. Understanding how AI affects individuals' decision-making processes is critical for marketing strategies and consumer welfare, ethical design principles, and digital rights. Therefore, the book's main aim is to go beyond the possibilities offered by AI-enabled systems to assess the cognitive, emotional and behavioural effects caused by these technologies and propose constructive solutions for decision-makers, practitioners and academics. The studies presented in our book deal in depth with current and controversial topics such as marketing ethics, neuro-marketing, algorithmic decision-making, the impact of artificial intelligence on creative processes, dark patterns and fake user reviews. Each chapter combines theoretical frameworks with empirical findings to give the reader an intellectual grounding and practical implications. This book aims to be an important reference source for all academics, researchers, and professionals who are aware of the new dynamics driving consumer behaviour in a digitalised world, think critically, and are ethically sensitive. In this period shaping the future of artificial intelligence, it is a common call to build a human-centred and sustainable digital consumption culture that prioritises ethical responsibility.
... Manipulation, on the other hand, is a phenomenon that is commonly encountered across different disciplines and various application areas (Begtimur, 2022:10). A review of the literature reveals not only the concept of algorithmic/algorithm manipulation (Fletcher, 2021;Galli, 2022;Vangeli, 2023;Fu & Sun, 2024), but also the manipulation concept being addressed in different contexts: digital manipulation (Reaves et al., 2004;Singh et al., 2024;Mucundorfeanu et al., 2024;Elitaş, 2022), market manipulation (Putniņš, 2012;Li et al., 2024), digital market manipulation (Calo, 2013;Greiss, 2021), marketing manipulation (Ljubičić & Vukasović, 2023;Jiaying & Lasi, 2023), consumer manipulation (Witte, 2023;Li & Li, 2023;Reuille-Dupont, 2023;Quinelato, 2024), online manipulation (Susser et al., 2019;Susser et al., 2019a;Boldyreva et al., 2018;Botes, 2023), social media manipulation (Bastos, 2024;Maathuis & Kerkhof, 2023;Maathuis & Godschalk, 2023), FoMO (fear of missing out) manipulation (Tan et al., 2024;McKee et al., 2023), manipulation of needs (Lodziak, 2003;Yılmaz & Tatoğlu, 2024;Senemoğlu, 2017;Rohach & Rohach, 2021). These manipulation concepts can be applied in different areas (e.g., politics, finance), and are particularly common in the field of marketing. ...
Book
Full-text available
In the 21st century digital age, artificial intelligence (AI) technologies are a technical revolution and a paradigm shift leading to transformations in a wide range of areas, from consumption practices to ethical norms, from individual preferences to social structure. This book examines the effects of artificial intelligence in the context of marketing and consumer behaviour in a multidimensional manner and evaluates both opportunities and threats from an academic perspective. Each chapter focuses on different aspects of AI and provides in-depth analyses with an interdisciplinary approach. From approaches that discuss how consumer autonomy is being eroded to ethical dilemmas encountered in AI-supported advertising, from the effects of unrealistic beauty ideals on individuals' self-perception to algorithmic manipulations and fake evaluation systems, many topics are comprehensively covered. Understanding how AI affects individuals' decision-making processes is critical for marketing strategies and consumer welfare, ethical design principles, and digital rights. Therefore, the book's main aim is to go beyond the possibilities offered by AI-enabled systems to assess the cognitive, emotional and behavioural effects caused by these technologies and propose constructive solutions for decision-makers, practitioners and academics. The studies presented in our book deal in depth with current and controversial topics such as marketing ethics, neuro-marketing, algorithmic decision-making, the impact of artificial intelligence on creative processes, dark patterns and fake user reviews. Each chapter combines theoretical frameworks with empirical findings to give the reader an intellectual grounding and practical implications. This book aims to be an important reference source for all academics, researchers, and professionals who are aware of the new dynamics driving consumer behaviour in a digitalised world, think critically, and are ethically sensitive. In this period shaping the future of artificial intelligence, it is a common call to build a human-centred and sustainable digital consumption culture that prioritises ethical responsibility.
... El objetivo principal es clasificar la polaridad de un texto como positiva, negativa o neutra. Esta clasificación es esencial para comprender el sentimiento de los clientes, calibrar la opinión pública y llevar a cabo investigaciones en profundidad sobre diversos temas"(Stewart, 2024) En este sentido, la técnica se utiliza no solamente en foros académicos, sino también en redes sociales y plataformas de otro tipo, con diferentes fines; en el caso de la política permite mejorar los micro perfiles de publicidad a tal punto de poder sesgar la intención de voto, como se encontró en el caso de Facebook y Cambridge Analytica(Boldyreva, Grishina y Duisembina, 2018), siendo un ejemplo de las potencialidades de la IA sin ética.En el caso del sector educativo, se ha venido utilizando como una estrategia de calibración para evitar la deserción en programas virtuales, a través de la medición de la satisfacción estudiantil(Balahadia, Fernando y Juanatas, 2016;Romero, Martínez y Jiménez, 2018) Algunas dificultades identificadas con la técnica se hallan en el proceso de tratamiento de las unidades de análisis, las limitaciones del algoritmo en cuanto a expresiones coloquiales, identificación de ironía, sarcasmo, símbolos, siglas, variaciones de lenguaje; por tanto recomiendan la validación con otros instrumentos de valoración de la satisfacción estudiantil (Castillo y Caicedo, 2019).4.3.4. Sistemas inteligentes para la eficiencia energéticaSi bien los sistemas inteligentes no son una IA sino que la articulan dentro de un proceso automatizado en un escenario específico. ...
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Este capítulo recopila las herramientas de Inteligencia Artificial que se están utilizando dentro del entorno educativo en cuanto a tres categorías, englobadas en las siguiente subcategorías a continuación: Evaluación adaptativa, Identificación del plagio, Asistentes virtuales para la enseñanza, Mentores Inteligentes, MOOCs adaptativos, Tutorías inteligentes, Recomendaciones de contenido personalizado, Juegos educativos inteligentes, Auxilio en la generación de contenidos. Sistemas analíticos y predictivos, Análisis de sentimientos en Foros educativos, Sistemas inteligentes para eficiencia energética. No obstante, su aporte, se recomienda tener en cuenta impactos no esperados en el uso de TIC que podrían extenderse exponencialmente como enfermedad física y psicológica, problemas cognitivos, sociales, entre otros que no deben perderse de vista.
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The advance of new technologies has also meant the disruptive evolution in social interactions, made possible by intermediary companies that have proliferated the advance of the so-called online platforms whose actions have had positive and negative impacts on the exercise and enjoyment of Fundamental Rights. With the entry into force of Regulation (EU) 2022/2065, European legislation made significant progress by determining minimum compliance parameters based on the Human Rights due diligence process. El avance de las nuevas tecnologías ha significado también la evolución disruptiva en las interacciones sociales, posibilitada por empresas intermediarias que ha proliferado el avance de las llamadas plataformas en línea cuyo actuar ha tenido impactos positivos y negativos en el ejercicio y goce de los Derechos Fundamentales. Con la entrada en vigor, del Reglamento (UE) 2022/2065 la legislación europea dió un significativo avance al determinar parámetros mínimos de cumplimiento basándose en el proceso de debida diligencia de los Derechos Humanos.
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Undoubtedly, the explosion of artificial intelligence constitutes the milestone of modern digital evolution. AI is used in almost every field of private and public life, reshaping the traditional structure of society and marking scientific progress. In the political area AI tools are the new trend since campaigns are executed through AI mechanisms and messages are disseminated via that method which is, certainly, attractive and persuasive, especially to the youth. However, AI technologies, with their capacity for rapid data processing and content generation, have been harnessed to both combat and propagate fake news. The main question which arises is the following: does AI promote or undermine political thought? This paper aims at demonstrating, at first level, the impact of AI on politics. Through a detailed presentation of the regulatory framework on the matter there are exposed both legal and ethical requirements for a powerful and trustworthy AI. Moreover, via a critical approach, it is illustrated the potential but great interaction between AI and fake news which may penetrate the political sphere and harm public opinion, voter behavior and the integrity of democratic process. Therefore, this paper intends to underscore the necessity for robust legal regimes, giving special emphasis on ethical AI deployment. The ultimate goal is to cultivate political consciousness, enhance public awareness to safeguard fundamental values in current digital era and denote the right balance between technological evolution and the promotion of democratic institutions.
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State surveillance is the act of using technology like sensors, social media analytics, predictive policy systems, etc. to store, monitor, and/or analyze information about the targeted individual. In the age of Big Data and AI State surveillance is an ad hoc practise. This chapter intends to inform the readers about the harmful ramifications of indiscriminate mass surveillance by Governments. This chapter sheds light on incidents like NSA Leak, Cambridge Analytica and the surveillance of Uyghur Muslims in China. This chapter also discusses the impact of mass surveillance and human rights violations and the resultant chilling effect. Finally, this chapter recommends that to regulate surveillance, universal regulations striking a balance between privacy rights and surveillance coupled with strong domestic laws could be instrumental in preserving human rights.
Chapter
This chapter delves into the ethical challenges posed by the digital revolution driven by digital transformation, artificial intelligence (AI) technologies, and intelligent algorithms. It explores the core ethical and socio-economic issues of ethical nature and implications arising from the widespread adoption of digital technologies and AI systems in this rapidly evolving landscape. This chapter discusses issues such as job displacements, data and privacy issues, intellectual property issues, data ownership and misuse, algorithmic discrimination, and bias with case studies and real-world examples. It emphasises the importance of addressing these challenges to ensure the responsible development and deployment of digital technologies and AI systems. By fostering a culture of ethics, collaboration, and stakeholder engagement, society can harness the potential of digital technologies and AI systems while ensuring they align with human values, promote fairness, and contribute to the betterment of individuals and communities.
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The rise of machine learning and technology transforms how we engage with our past, present, and future expressions of the human experience. Digitization plays a crucial role in converting texts and even media objects into machine-readable formats, unlocking a treasure trove of possibilities. AI-powered object recognition, topic modeling, and even decolonizing methodologies have become accessible, allowing us to name and organize cultural artifacts with greater sensitivity to diverse perspectives (Cruz 2023). Bridging the gap between machines and meaning is the true essence of digital humanities. As a space, digital humanities encourages critical reflection, ignites innovative exploration, and challenges traditional research methods. By harnessing the power of technology alongside the depth of humanistic inquiry, we can unlock new ways of understanding and appreciating the human experience. Thus, this paper encapsulates the collective insights derived from the four-day “Identities and Digital Humanities Workshop” by the University of the Philippines Center for Integrative and Decolonial Studies Program (UP CIDS), which took place online on October 2–3 and 12–13, 2023. The original copy of this discussion paper can be accessed here: https://cids.up.edu.ph/download/philippine-identities-digital-humanities/
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The study of a person existence in Internet space is certainly an actual task, since the Internet is not only a source of innovation, but also the cause of society's transformations and the social and cultural problems that arise in connection with this. Computer network is global. It is used by people of different professions, age, level and nature of education, living around the world and belonging to different cultures. It complicates the problem of developing common standards of behavior, a system of norms and rules that could be widely accepted by all users. On the other hand, the Internet space can be viewed as a new form of existence where physical laws do not work, and in connection with this, social ones are often questioned. This paper focuses on how social norms regulate relations in Internet space. The authors represents the typology of deviant behavior in the network. The empirical basis of the research includes the sociological survey of students of the senior courses in the Institute of Computer Science and Technology of Peter the Great St. Petersburg Polytechnic University. Sociological survey allows to identify students’ understanding of Internet space. The selection of students is conditioned by the fact that IT professionals are considered simultaneously as ordinary users of the network and as future professionals in this field.
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The article examines the Internet influence on transformation of Icelandic political system. The research methodology is based on the theories of postanarchism and technological determinism. The article refers to three cases that have a very strong correlation. The first case considers the draft of New Constitution in Iceland written by using the crowdsourcing method. The second refers to the standup comedian Jon Gnarr who organized his election campaign via the Internet. He won the elections and became a mayor of Reykjavik. The third case is connected with the change of a country political landscape with a new Pirate Party on a stage. It has become the first Pirate Party appeared in the Parliament. The empirical findings bring the authors to the obvious conclusions that the Internet gives a significance influence on the transformation of Icelandic political system while bringing the very strong elements of direct democracy.
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The automated parsing of 130,213 news articles about the 2012 US presidential elections produces a network formed by the key political actors and issues, which were linked by relations of support and opposition. The nodes are formed by noun phrases and links by verbs, directly expressing the action of one node upon the other. This network is studied by applying insights from several theories and techniques, and by combining existing tools in an innovative way, including:graph partitioning, centrality, assortativity, hierarchy and structural balance. The analysis yields various patterns. First, weobserve that the fundamental split between the Republican and Democrat camps can be easily detected by network partitioning, which provides a strong validation check of the approach adopted, as well as a sound way to assign actors and topics to one of the two camps. Second, we identify the most central nodes of the political camps. We also learnt that Clinton played a more central role than Biden in the Democrat camp; the overall campaign was much focused on economy and rights; the Republican Party (Grand Old Party or GOP) is the most divisive subject in the campaign, and is portrayed more negatively than the Democrats; and, overall, the media reported positive statements more frequently forthe Democrats than the Republicans. This is the first study in which political positions are automatically extracted and derived froma very large corpus of online news, generating a network that goes well beyond traditional word-association networks by means of richer linguistic analysis of texts.
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To answer questions about the origins and outcomes of collective action, political scientists increasingly turn to datasets with social network information culled from online sources. However, a fundamental question of external validity remains untested: are the relationships measured between a person and her online peers informative of the kind of offline, “real-world” relationships to which network theories typically speak? This article offers the first direct comparison of the nature and consequences of online and offline social ties, using data collected via a novel network elicitation technique in an experimental setting. We document strong, robust similarity between online and offline relationships. This parity is not driven by shared identity of online and offline ties, but a shared nature of relationships in both domains. Our results affirm that online social tie data offer great promise for testing long-standing theories in the social sciences about the role of social networks.