The lack of effective governance mechanisms for AI-driven
Research gap analysis derived from 3 social_science papers in our local library.
The gap
The lack of effective governance mechanisms for AI-driven misinformation. The need for coordinated and adaptive policy mixes that align regulatory instruments with enterprise behavior and user uptake. The limited understanding of the strate
Evidence profile
Sourced from the stated research gap and limitations section and stated challenges of the source papers, classified as general, spanning 3 journals.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 4 representative gaps
- Coordinated incentives in AI-generated misinformation governance (2026) · Humanities and Social Sciences Communications · doi
The lack of effective governance mechanisms for AI-driven misinformation. The need for coordinated and adaptive policy mixes that align regulatory instruments with enterprise behavior and user uptake. The limited understanding of the strategic interdependence among government regulators, AI enterprises, and users in the context of AI-generated misinformation.
generalstated research gapKeywords: lack effective governance mechanisms ai-driven misinformation need coordinated - Expert Perspectives on Detecting Fake News and Misinformation Governance Using Generative Artificial Intelligence in Nigeria: A Qualitative Exploratory Study (2026) · Feedback International Journal of Communication · doi
The study identifies a gap in the existing research on the use of GenAI in detecting and managing misinformation in digital communication environments. The study highlights the need for more research on the governance implications associated with the use of artificial intelligence in combating misinformation. The study emphasizes the importance of contextual adaptation, ethical governance, and collaboration among stakeholders in the use of AI technologies.
generalstated research gapevidence 5/5Keywords: study identifies gap existing research use genai detecting - Expert Perspectives on Detecting Fake News and Misinformation Governance Using Generative Artificial Intelligence in Nigeria: A Qualitative Exploratory Study (2026) · Feedback International Journal of Communication · doi
The study relies on expert interviews and may not be generalizable to other contexts. The effectiveness of AI technologies depends on contextual adaptation, ethical governance, and collaboration among stakeholders. The study highlights the need for media literacy initiatives and institutional communication strategies to support AI systems in addressing misinformation challenges.
generallimitations sectionevidence 5/5Keywords: study relies expert interviews generalizable other contexts effectiveness - Artificial Intelligence and Disinformation: A State-of-the-Art Review Through a Systematized Literature Review (2026) · Social Sciences · doi
The study identifies the challenge of disinformation as one of the greatest challenges faced by networked societies over the past decade. The study highlights the challenge of regulating artificial intelligence and disinformation, including the need for more and better regulation in the field. The study notes the challenge of ensuring accountability and adequate protection for victims of disinformation.
generalstated challengesevidence 5/5Keywords: study identifies challenge disinformation one greatest challenges faced
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