Deepfakes: Awareness, Concerns, and Platform Accountability

Cochran, Justin; Napshin, Stuart

doi:10.1089/cyber.2020.0100

Cited by 19 publications

(10 citation statements)

References 11 publications

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“…However, this is not the case in entertainment applications. Simultaneously, the regression results show that fun negatively influences individuals' perceptions of platform responsibility (Cochran and Napshin, 2021). In other words, fun and entertainment reduce the role of ethical judgment.…”

Section: Development Of the Research Modelmentioning

confidence: 82%

“…There are strong and immediate concerns regarding the ethical implications of deepfake. However, these concerns are not apparent in the intriguing applications of deepfake (Cochran and Napshin, 2021). Deepfake information triggers both ethical and entertainment perceptions (Bode, 2021; Cochran and Napshin, 2021).…”

Section: Theoretical Background and Preliminary Research Frameworkmentioning

confidence: 99%

“…However, few studies have been conducted on the ethics of deepfake information and most have only qualitatively described relevant ethical issues such as invasion of privacy ( € Ohman, 2020), online harassment, slander, identity theft and bullying (Kietzmann et al, 2020) while obscuring responsibility (Dobber et al, 2021). People are generally concerned about the ethical risks of deepfake information, but entertainment and fun often dilute these concerns, as well as personal responsibility and responsibility requirements of the platform (Cochran and Napshin, 2021). Compared to traditional news, entertainment news increases cognitive resource consumption and reduces the functional integration of relevant social information during news processing, thus hindering viewers' moral scrutiny (Kim et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

“…Importantly, the influence of ethical and hedonic perceptions has a crossover effect on the audience. Therefore, the regulation of deepfake information must take into account the public's attitudes, which are influenced by ethics, the unique form of entertainment and the clash between them (Bode, 2021;Cochran and Napshin, 2021). Audience acceptance is a good reflection of their attitudes toward information (Taebi, 2017); however, previous literature has not focused on ethical factors, the role of entertainment, or mechanisms of influence.…”

Section: Introductionmentioning

confidence: 99%

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Norms or fun? The influence of ethical concerns and perceived enjoyment on the regulation of deepfake information

Wan

2023

INTR

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PurposeDeepfake information poses more ethical risks than traditional disinformation in terms of fraud, slander, rumors and other malicious uses. However, owing to its high entertainment value, deepfake information with ethical risks has become popular. This study aims to understand the role of ethics and entertainment in the acceptance and regulation of deepfake information.Design/methodology/approachMixed methods were used to qualitatively identify ethical concerns and quantitatively evaluate the influence of ethical concerns and perceived enjoyment on the ethical acceptability and social acceptance of deepfake information.FindingsThe authors confirmed that informed consent, privacy protection, traceability and non-deception had a significantly positive impact on ethical acceptability and indirectly influenced social acceptance, with privacy protection being the most sensitive. Perceived enjoyment impacts the social acceptance of deepfake information and significantly weakens the effect of ethical acceptability on social acceptance.Originality/valueThe ethical concerns affecting acceptance behavior identified in this study provide an entry point for the ethical regulation of deepfake information. The weakening effect of perceived enjoyment on ethics serves as a wake-up call for regulators to guard against pan-entertainment deepfake information.

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Section: Development Of the Research Modelmentioning

confidence: 82%

Section: Theoretical Background and Preliminary Research Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Norms or fun? The influence of ethical concerns and perceived enjoyment on the regulation of deepfake information

Wan

2023

INTR

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“…This approach enhances the external validity of our design. Moreover, other studies have also used some of these deepfakes (see Cochran and Napshin, 2021 ; Ahmed, 2021a ).…”

Section: Methodsmentioning

confidence: 99%

Understanding the role of fear of missing out and deficient self-regulation in sharing of deepfakes on social media: Evidence from eight countries

Ahmed

Ng²,

Bee³

2023

Front. Psychol.

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Deepfakes are a troubling form of disinformation that has been drawing increasing attention. Yet, there remains a lack of psychological explanations for deepfake sharing behavior and an absence of research knowledge in non-Western contexts where public knowledge of deepfakes is limited. We conduct a cross-national survey study in eight countries to examine the role of fear of missing out (FOMO), deficient self-regulation (DSR), and cognitive ability in deepfake sharing behavior. Results are drawn from a comparative survey in seven South Asian contexts (China, Indonesia, Malaysia, Philippines, Singapore, Thailand, and Vietnam) and compare these findings to the United States, where discussions about deepfakes have been most relevant. Overall, the results suggest that those who perceive the deepfakes to be accurate are more likely to share them on social media. Furthermore, in all countries, sharing is also driven by the social-psychological trait – FOMO. DSR of social media use was also found to be a critical factor in explaining deepfake sharing. It is also observed that individuals with low cognitive ability are more likely to share deepfakes. However, we also find that the effects of DSR on social media and FOMO are not contingent upon users’ cognitive ability. The results of this study contribute to strategies to limit deepfakes propagation on social media.

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Decoding Deception: Understanding Human Discrimination Ability in Differentiating Authentic Faces from Deepfake Deceits

Jilani,

Geradts,

Abubakar

2024

Lecture Notes in Computer Science

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Deepfakes: Awareness, Concerns, and Platform Accountability

Cited by 19 publications

References 11 publications

Norms or fun? The influence of ethical concerns and perceived enjoyment on the regulation of deepfake information

Norms or fun? The influence of ethical concerns and perceived enjoyment on the regulation of deepfake information

Understanding the role of fear of missing out and deficient self-regulation in sharing of deepfakes on social media: Evidence from eight countries

Decoding Deception: Understanding Human Discrimination Ability in Differentiating Authentic Faces from Deepfake Deceits

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