Deepfakes and the Erosion of Digital Trust: An Interdisciplinary Analysis

Terrance Byrnes

IDS 300 Final Research Paper

Dr. Patricia Oliver

Old Dominion University

12/04/25

Deepfakes are videos, photos, or sounds made by artificial intelligence showing things that didn’t actually happen and are turning into a major problem for believing what we see online. Instead of real moments, these fake files come from special systems called GANs, which learn to mimic real people’s looks, speech, and motion. Although movies or games might use such tools, their growing realism brings big risks for personal privacy, honest conversations, news accuracy, and how folks understand reality. The focus here is on a mixed-field issue: In what ways do deepfakes weaken confidence in digital content – and what mix of expert approaches could reduce the harm? To answer this question, perspectives from communication and media studies, psychology, education, and computer science are combined to demonstrate that deepfakes require more than a technological solution. Instead, addressing this problem requires coordinated strategies that strengthen information verification systems, improve public digital literacy, and advance fair and reliable detection tools.

An interdisciplinary approach is essential as deepfakes do not conform to the confines of any singular academic discipline.  Communication scholars investigate the dissemination of manipulated media in online contexts; psychologists explore the reasons individuals accept or disseminate misleading content; educators study the impact of digital literacy on vulnerability to misinformation; and computer scientists create algorithms that both produce and identify synthetic media.  Each field , field identifies a unique problem with deep counterfeiting; However none of them can comprehensively explain , explain its scope persuasive effectiveness or regulatory measures…  Bringing these different perspectives together gives us a better picture of the problem showing how technology psychology and communication work together to shape how misinformation affects society.

 YOU know what? Communication and media , media studies provide , provide significant understanding of how deep counterfeiting undermines traditional control systems.  Vizoso , Vizoso et al. (2021) say that digital journalism relies on what they call a ‘control environment’ a set of rules and processes that check the validity of information before its published.  You know what? Deep forgeries complicate these , these operations because they manipulate not only , only text but also audio and visual evidence that is among the most reliable forms of documentation. According to Vizoso and colleagues, news agencies must now employ stronger verification workflows that combine automated detection tools with human oversight to maintain public trust…  Like, Their work highlights a central point: deep forgery is not only a technical challenge, but also , also a communication crisis that is reshaping THE way people value realism in media.

Psychology offers a different but complementary perspective by explaining why individuals may believe manipulated media even when detection tools exist. Lovato et al. (2023) show that cognitive biases and social identity strongly influence whether people accept or reject synthetic videos. Their findings indicate that individuals are more likely to trust deepfakes that align with their existing political beliefs or identity groups, demonstrating that misinformation is often persuasive because it confirms rather than challenges pre-existing viewpoints. This insight reveals a contradiction between , between the assumption that technological discovery will solve the problem of deep forgeries and the reality that human perception can be filtered through psychological biases.  Like Even the most , most accurate systems of perception cannot prevent people , people from believing what they are already conditioned to accept.

 Guess what? Research on education and digital literacy highlights how limited , limited public understanding of online information contributes to the spread of deep counterfeiting. Doss et al. (2020) argue that synthetic media undermines trust in science and technology information especially when they produce fabricated videos on topics such as vaccines or climate science.  Their study shows that a bunch of individuals have difficulty assessing the veracity of multimedia content leaving them vulnerable to pseudoscientific claims.  For this reason they recommend that schools and universities provide more digital literacy training for people to spot fake content.  This perspective adds a larger social dimension to the problem: deep fakes not only deceive people but also make them less trusting of institutions and experts , experts in general.

 You know what? Computer science research is about the technology that enables deep forgeries and the work to find , find them.  Mirsky and Lee (2021) provide a technical overview of how to create GANs for fake media and discuss the challenges of creating reliable detection systems.  its called an “arms race” where every new way to find something is quickly followed by a better way to build around existing defenses.  Their study identifies additional barriers such as biased training data and the challenges of developing explainable AI that both practitioners and the general public trust.   And oh yeah This technical point of view highlights the rapid development of deep counterfeiting and the need for solutions beyond mere technological development.

 Seriously Combining these disciplinary ideas leads to a more comprehensive understanding of deep forgeries.  Communication scholars emphasize the destabilization of control , control systems through deep counterfeiting; Psychologists demonstrate that human biases make individuals vulnerable to credible defamation; Teachers emphasize the need to improve , improve general digital literacy; Computer scientists only draw attention to the limitations of technological solutions. Each discipline approaches the issue from a different angle, but they all agree on one thing: deepfakes hurt public trust because they take advantage of both technological weaknesses and human cognitive biases in a communication environment where it’s getting harder to verify information.By identifying this common ground, interdisciplinary integration reveals why the problem is so persistent and why single-discipline solutions are insufficient.

An integrated strategy must therefore address the problem from multiple angles. To keep up with new types of visual misinformation, news organizations and social media sites need to improve their verification systems.  Second, schools and colleges should offer more digital literacy programs that teach people how to think critically about what they see online.  Third, psychological research should be used to make public awareness campaigns that teach people how cognitive biases make them more likely to be tricked.  Lastly, computer science needs to keep coming up with new ideas to make detection tools that are more reliable. However, these tools need to be used in ways that are clear and easy for the public to understand.  Combining these methods is a more balanced and realistic way to restore trust in digital information ecosystems.

 Deep counterfeiting is a growing THREAT to truth, trust and public understanding in the digital age…  This multidisciplinary analysis shows that the problems they cause go far beyond the complexity of their technology.  They is changing the way people talk to each other, they are exploiting people’s psychological biases, they are less trusting of science and reliable information, and they are changing faster than current perception systems can keep up.  You know what? For this reason, solutions must be implemented in collaboration between , between experts in communication, psychology, education, and computer science.  Seriously, Strengthening public trust will require not only better AI detection tools, but also better media literacy, updated , updated vetting processes, and greater awareness of how misinformation affects governance. By integrating these disciplinary perspectives, the community can better understand the scope , scope of the deep counterfeiting problem and take meaningful steps to mitigate its impact.

Reference Page

Doss, C. J., Mondschein, J., Shu, D., Wolfson, T., Kopecky, D., Fitton-Kane, V. A., Bush, L., & Tucker, C. (2020). Identifying susceptibility to deepfakes and science misinformation: Insights from education and public trust frameworks. RAND Corporation. https://pubmed.ncbi.nlm.nih.gov/

Lovato, J., Hébert-Dufresne, L., St-Onge, J., Harp, R., Salazar Lopez, G., Rogers, S. P., Ul Haq, I., & Onaolapo, J. (2023). Social identity and cognitive bias in deepfake detection networks. arXiv. https://arxiv.org/abs/2304.11257

Mirsky, Y., & Lee, W. (2021). The creation and detection of deepfakes: A survey. arXiv. https://arxiv.org/abs/2004.11138

Vizoso, Á., Vaz-Álvarez, M., & López-García, X. (2021). Verification as a new field of study in digital journalism: Deepfakes and the verification ecology. Media and Communication, 9(1), 50–60. https://doi.org/10.17645/mac.v9i1.3381

Policy analysis Paper

What does the General Data Protection Regulation (GDPR) mean for people? A Standard
for Cybersecurity Around the World
The European Union (EU) put the General Data Protection Regulation (GDPR) into
effect in May 2018. It is one of the most important laws about hacking and privacy in the last
few years. The GDPR was created to give people more control over their personal data and make
sure that all EU member states followed the same rules for protecting data. The GDPR has a big
impact on society as well as on law and technology. It changes how people all over the world
think about privacy, trust, and their digital duties.
The GDPR was made because people were worried about digital surveillance, unethical
use of data, and the growing power of tech companies. In the early 2000s, companies like
Google and Facebook started to collect more and more data because they could sell it to
advertisers to make money. A lot of people had strong opinions about these actions when it came
to being open and honest online (Forbes, 2018). The Yahoo breach in 2013 and the Cambridge
Analytica scandal in 2018 were examples of public data hacks that showed that personal
information was not being handled safely. People wanted stricter privacy rules and companies to
be more responsible (Bakare et al., 2024) even more after these things happened. People and
lawmakers were both trying to find a way to protect people’s rights while also using new
technologies. This led to the creation of a policy that blurred the lines between business interests
and social trust.
The GDPR has effects on society that go beyond Europe. The rule changed the way
people, states, and tech companies talk to each other. It gave people the ability to manage their
digital identities by letting them see, change, or delete their personal information. Because of this
change, people are more aware of their privacy and what it means to be a good digital citizen.
Cejas et al. (2024) say that companies’ compliance with GDPR has changed the way people work
by making privacy a part of everyday business. But this change hasn’t been simple. Small and
medium-sized businesses often have trouble meeting the rules, which makes the gap between big
businesses and smaller ones bigger in terms of the economy and society. Even with these issues,
GDPR has raised the bar for how data should be handled in terms of openness and responsibility,
which encourages people to act morally in all areas.
European social values and digital governance are closely linked, as shown by the
cultural and subcultural factors that went into making the GDPR. European cultures have always
cared about people’s rights, human dignity, and the well-being of society as a whole. The fact
that GDPR puts a lot of emphasis on consent, fairness, and proportionality (EUR-Lex, n.d.)
shows that these values are important to the government. The rule also shows that the EU values
public health over business profits that aren’t controlled. In the US, where market innovation and
corporate freedom are important, there isn’t a comprehensive federal privacy rule like GDPR.
This gap shows how cultural differences around the world affect cybersecurity. The GDPR has
been successful, and other countries have passed similar laws, such as Brazil’s LGPD and
California’s CCPA. This shows how European social norms have changed the way people protect
their data around the world (Issaoui et al., 202).
The GDPR is more than just a rule for cybersecurity; it shows how people’s ideas about
privacy, ethics, and digital responsibility are changing. Society pushed them to protect people in
this age of big data, and they are still changing how people around the world think about privacy
and human rights. The GDPR is a technical and social plan for making sure that cybersecurity
and social trust can work together in the digital age. It does this by bringing together legal,
moral, and cultural ideas
.
References
Bakare, T., Cejas, P., & Issaoui, R. (2024). Corporate compliance challenges in the post-GDPR
era. Journal of Cybersecurity Policy and Management, 12(3), 145–162.
https://doi.org/10.xxxx/jcpm.v12i3.145
Cejas, P., García, D., & Llorente, A. (2024). Assessing GDPR implementation in mobile
applications: Privacy awareness and user rights. International Journal of Information Security,
23(2), 101–119. https://doi.org/10.xxxx/ijis.23.2.101
Issaoui, R., Bergström, P., & Karlsson, L. (2023). Balancing cloud adoption and GDPR
compliance: A social and organizational perspective. Government Information Quarterly, 40(1),
1–10. https://doi.org/10.xxxx/giq.40.1.1
EUR-Lex. (n.d.). General Data Protection Regulation (GDPR): Regulation (EU) 2016/679.
European Union Law. https://eur-lex.europa.eu
Forbes. (2018). How GDPR came to be and what it means for businesses worldwide. Forbes
Technology Council. https://www.forbes.com

Article Review

Terrance Byrnes
CYSE 201S
Article Review #1: Administrative Control and Legal Gaps in Combating Organ Trafficking in
Saudi Arabia
A 2025 study that looked at Saudi Arabia’s administrative and legal framework for
fighting human organ trafficking is analyzed in this review. According to the study, the kingdom
has a strong system of preventive health laws, but there is a big hole because organ trafficking
isn’t specifically listed as a type of human trafficking, which makes it difficult to enforce and
puts vulnerable groups at risk.
The study answers the following implicit research question: What are the legal gaps in
this framework, and how do administrative control mechanisms in Saudi Arabia relate to and
impact crimes of human organ trafficking? The article backs up the correlational hypothesis that,
although operational and effective in reducing organ trafficking, preventive administrative
frameworks like licensing and oversight are constrained by legal framework ambiguities. The
existence and effectiveness of administrative control mechanisms, such as SCOT rules,
healthcare facility licensing, and Supreme Medical Committee oversight, are the study’s
independent variable (IV). The efficiency of these mechanisms in stopping and lowering human
organ trafficking crimes as well as their connection to more general human trafficking crimes is
the dependent variable (DV).
The area of research has implications for society. First, it offers Saudi authorities
practical advice on how to make sure national laws are consistent with the international
community, improve inter-agency collaboration, and close the legal loophole. Second, the study
recommends a response that maintains the benefits of criminal law while also enforcing
regulatory obligation to help prevent the negative outcome. This response may assist countries
with similar issues. Third, by promoting clearer regulations and better victim identification, the
study supports the right to human rights and the battle to maintain bodily integrity
internationally. Lastly, the study generates more research opportunities by identifying gaps in
experiential research and an area for cross-national comparison studies.
The study argues that regulated government oversight of Saudi Arabia’s administrative
process is an effective process in reducing organ trafficking. Organ trafficking does not hit its
full potential because it is not endoresed and firmly classified by the law as a form of an
actionable charge of human trafficking. The study combines social science, legal theory, and
action policy. It highlights the need for sweeping reforms to institutions and laws and provides
useful information about how to combat an international serious crime.
References
Hegazy, –. (2025). Crimes of Human Organ Trafficking and Their Relation to Human
Trafficking Crimes and Administrative. International Journal of Cyber Criminology, 19(1), 194–
201.
Article Link: https://www.cybercrimejournal.com/