Equipping M&E Businesses To Identify, Mitigate, and Build Resilience from Exploitation Against Synthetic AI Influence in Order to Safeguard its Creative Outputs
Metadata
- Publisher
- SMPTE — Pasadena, CA
- Doc Type
- Conference Paper
- Content Type
- Original Research
- Volume
- 00, pp. 1–5
- Abstract
- As Hollywood increasingly relies on metrics derived from social platforms to drive casting, marketing, and content direction, a threat has emerged, which is known as “synthetic influence”. Synthetic influence uses large language models (LLMs), generative personas, and social bots to create the illusion of grassroots support, fan backlash, or viral trends. The resulting reputational damage and misaligned decision-making can cost studios millions of dollars. This paper examines the technical foundations of AI driven influence operations through content automation, algorithmic exploitation, and network amplification. It provides real-world case studies and outlines detection indicators as well as countermeasures for media professionals. Finally, the paper proposes a resilience framework based on cross functional collaboration, threat monitoring, and AI literacy for PR and digital strategy teams.
- Publication Date
- 2025-10-13
- ISBN
[object Object]- Author(s)
- Raymond Evans
- Keyword(s)
- Synthetic Influence, AI Manipulation, Large Language Models (LLMs), Generative Media, Botnets, Reputation Attacks, Social Engineering, Entertainment Cybersecurity
- Copyright
- © 2025 SMPTE
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Raymond Evans; Equipping M&E Businesses To Identify, Mitigate, and Build Resilience from Exploitation Against Synthetic AI Influence in Order to Safeguard its Creative Outputs, MTS 2025, Article 35 (pp. 1 to 5); SMPTE, 2025, ISBN: [object Object]
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Raymond Evans; Equipping M&E Businesses To Identify, Mitigate, and Build Resilience from Exploitation Against Synthetic AI Influence in Order to Safeguard its Creative Outputs, MTS 2025, Article 35 (pp. 1 to 5); SMPTE, 2025, ISBN: [object Object]
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Raymond Evans; Equipping M&E Businesses To Identify, Mitigate, and Build Resilience from Exploitation Against Synthetic AI Influence in Order to Safeguard its Creative Outputs, MTS 2025, Article 35 (pp. 1 to 5); SMPTE, 2025, ISBN: [object Object]
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<span class="citation">Raymond Evans; <cite>Equipping M&E Businesses To Identify, Mitigate, and Build Resilience from Exploitation Against Synthetic AI Influence in Order to Safeguard its Creative Outputs</cite>, MTS 2025, Article 35 (pp. 1 to 5); SMPTE, 2025, ISBN: [object Object]</span>
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Raymond Evans; Equipping M&E Businesses To Identify, Mitigate, and Build Resilience from Exploitation Against Synthetic AI Influence in Order to Safeguard its Creative Outputs, MTS 2025, Article 35 (pp. 1 to 5); SMPTE, 2025, ISBN: [object Object]
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<li> Raymond Evans; <cite id="bib-978-1-61482-966-9-35">Equipping M&E Businesses To Identify, Mitigate, and Build Resilience from Exploitation Against Synthetic AI Influence in Order to Safeguard its Creative Outputs</cite>, MTS 2025, Article 35 (pp. 1 to 5); SMPTE, 2025, ISBN: [object Object] </li>