University of Kwazulu-Natal

Pdf Disinformation In The Digital Era The Role Of Deepfakes

Bonisiwe Shabane
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pdf disinformation in the digital era the role of deepfakes

Academia.edu no longer supports Internet Explorer. To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to upgrade your browser. Article Info Background: Disinformation has undergone significant transformations over the past few decades, evolving from relatively simple text-based fake news articles to highly sophisticate AI-driven content such as deepfakes and other forms of manipulated... Aims: This paper traces the historical development of Disinformation, its increasing reliance on Artificial Intelligence (AI), and the potential future trajectories of disinformation as AI technologies advance. Methodology: We begin by examining the shift from traditional text-based disinformation campaigns, often propagated via social media platforms, to more immersive and persuasive forms of AIgenerated media. Discussion: We discuss how AI techniques, such as Generative Adversarial Networks and Natural Language Processing, have revolutionized the landscape of false information, allowing for the automation of misinformation production and its widespread dissemination at...

Furthermore, this paper investigates the role of social media algorithms in amplifying disinformation, demonstrating how these platforms, originally designed to prioritize user engagement, inadvertently aid in the spread of false information by promoting sensationalized... Through an in-depth analysis of case studies, including the COVID-19 pandemic and the 2020 U.S. elections, this paper highlights the dangers posed by AI-generated misinformation, particularly deepfakes, which are becoming increasingly difficult to detect, even by advanced AI systems. The implications of this shift for democratic processes, public trust, and societal cohesion are profound. This paper also explores the ethical dilemmas posed by AI-driven disinformation and presents potential solutions through the lens of AI-enhanced detection technologies and policy interventions. Lastly, this paper emphasizes the urgent need for interdisciplinary cooperation between policymakers, technologists, and media organizations to mitigate the harmful impacts of AI-driven disinformation while preserving the integrity of information in the digital age.

Conclusions: By exploring both technological and regulatory approaches, a comprehensive framework for understanding the evolving threat of AI-driven disinformation is essential and pathways for future research in this critical area is suggested. https://doi.org/10.3390/ journalmedia6010019, 2025 Abstract: This study addresses public perception of the relationship between artificial intelligence (AI) and disinformation. The level of general awareness of AI is considered, and based on this, an analysis is carried out of whether it may favor the creation and distribution of false content or, conversely, the public... A survey has been conducted on a representative sample of the Andalusian population aged 15 and over (1550 people). The results show that over 90% of the population have heard of AI, although it is less well known among the eldest age group (78%).

There is a consensus that AI helps to produce (86%) and distribute (84%) fake news. Descriptive analyses show no major differences by sex, age, social class, ideology, type of activity or size of municipality, although those less educated tend to mention these negative effects to a lesser extent. However, 54% of the population consider that it may help in combating hoaxes, with women, the lower class and the left wing having positive views. Logistic regressions broadly confirm these results, showing that education, ideology and social class are the most relevant factors when explaining opinions about the role of AI in disinformation. Keywords: disinformation; artificial intelligence; Andalusia; digital divide; vulnerable adults; fake news

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Academia.edu No Longer Supports Internet Explorer. To Browse Academia.edu And

Academia.edu no longer supports Internet Explorer. To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to upgrade your browser. Article Info Background: Disinformation has undergone significant transformations over the past few decades, evolving from relatively simple text-based fake news articles to highly sophisticate AI-driven content such as deepfa...

Furthermore, This Paper Investigates The Role Of Social Media Algorithms

Furthermore, this paper investigates the role of social media algorithms in amplifying disinformation, demonstrating how these platforms, originally designed to prioritize user engagement, inadvertently aid in the spread of false information by promoting sensationalized... Through an in-depth analysis of case studies, including the COVID-19 pandemic and the 2020 U.S. elections, this paper highligh...

Conclusions: By Exploring Both Technological And Regulatory Approaches, A Comprehensive

Conclusions: By exploring both technological and regulatory approaches, a comprehensive framework for understanding the evolving threat of AI-driven disinformation is essential and pathways for future research in this critical area is suggested. https://doi.org/10.3390/ journalmedia6010019, 2025 Abstract: This study addresses public perception of the relationship between artificial intelligence (A...

There Is A Consensus That AI Helps To Produce (86%)

There is a consensus that AI helps to produce (86%) and distribute (84%) fake news. Descriptive analyses show no major differences by sex, age, social class, ideology, type of activity or size of municipality, although those less educated tend to mention these negative effects to a lesser extent. However, 54% of the population consider that it may help in combating hoaxes, with women, the lower cl...