Cover Image

Deepfakes in Criminal Investigations: Interdisciplinary Research Directions for CMC Research

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Meinen, Lorenz, Schomäcker, Astrid, Wiedemann, Stefanie, Hartmann, Markus, Speith, Timo, Kästner, Lena, Kühl, Niklas, Rückert, Christian
Format:	Preprint
Published:	2025
Subjects:	Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle
by: Deck, Luca, et al.
Published: (2024)

Explainability Auditing for Intelligent Systems: A Rationale for Multi-Disciplinary Perspectives
by: Langer, Markus, et al.
Published: (2021)

"Make the Voodoo Box Go Bleep Bloop:" Exploring End Users' Understanding and Information Needs Regarding Microchips
by: Speith, Julian, et al.
Published: (2025)

Explainability as a Requirement for Hardware: Introducing Explainable Hardware (XHW)
by: Speith, Timo, et al.
Published: (2023)

A Multi-Level Strategy for Deepfake Content Moderation under EU Regulation
by: Förster, Max-Paul, et al.
Published: (2025)

Societal AI Research Has Become Less Interdisciplinary
by: Markus, Dror Kris, et al.
Published: (2025)

FAIR-CS: Framework for Interdisciplinary Research Collaborations in Online Computing Programs
by: Shi, Breanna, et al.
Published: (2025)

Merging AI Incidents Research with Political Misinformation Research: Introducing the Political Deepfakes Incidents Database
by: Walker, Christina P., et al.
Published: (2024)

Reading Between the Tokens: Improving Preference Predictions through Mechanistic Forecasting
by: Ball, Sarah, et al.
Published: (2026)

Toward Integrated Solutions: A Systematic Interdisciplinary Review of Cybergrooming Research
by: An, Heajun, et al.
Published: (2025)

Advancing Trustworthy AI in Healthcare Through Meta-Research: Results of an Interdisciplinary Design-Thinking Workshop
by: Bürger, Valerie, et al.
Published: (2026)

On the Quest for Effectiveness in Human Oversight: Interdisciplinary Perspectives
by: Sterz, Sarah, et al.
Published: (2024)

A Survey of AI Reliance
by: Eckhardt, Sven, et al.
Published: (2024)

Measuring Research Convergence in Interdisciplinary Teams Using Large Language Models and Graph Analytics
by: Li, Wenwen, et al.
Published: (2026)

Deepfakes and Higher Education: A Research Agenda and Scoping Review of Synthetic Media
by: Roe, Jasper, et al.
Published: (2024)

Bridging Research Gaps Between Academic Research and Legal Investigations of Algorithmic Discrimination
by: Chien, Colleen V., et al.
Published: (2025)

A Systematic Review of Echo Chamber Research: Comparative Analysis of Conceptualizations, Operationalizations, and Varying Outcomes
by: Hartmann, David, et al.
Published: (2024)

The Bidirectional Relationship Between XAI and Regulation: Operationalizing XAI for the AI Act
by: Hummel, Anton, et al.
Published: (2025)

Demystifying AI in Criminal Justice
by: Berk, Richard
Published: (2025)

The AI Criminal Mastermind
by: Krook, Joshua
Published: (2026)

What Exactly is a Deepfake?
by: Liu, Yizhi, et al.
Published: (2025)

Navigating the Data Trading Crossroads: An Interdisciplinary Survey
by: Yu, Yi, et al.
Published: (2024)

The AI-Augmented Research Process: A Historian's Perspective
by: Henriot, Christian
Published: (2025)

Professionalising Community Management Roles in Interdisciplinary Research Projects
by: Sharan, Malvika, et al.
Published: (2024)

Concerning the Responsible Use of AI in the US Criminal Justice System
by: Moore, Cristopher, et al.
Published: (2025)

Mapping the Probabilistic AI Ecosystem in Criminal Justice in England and Wales
by: Taka, Evdoxia, et al.
Published: (2025)

To Deepfake or Not to Deepfake: Higher Education Stakeholders' Perceptions and Intentions towards Synthetic Media
by: Roe, Jasper, et al.
Published: (2025)

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI)
by: Kares, Felix, et al.
Published: (2025)

Beyond Explainable AI (XAI): An Overdue Paradigm Shift and Post-XAI Research Directions
by: Afroogh, Saleh, et al.
Published: (2026)

Foundational Competencies and Responsibilities of a Research Software Engineer: Current State and Suggestions for Future Directions
by: Goth, Florian, et al.
Published: (2023)

Advances in Interdisciplinary Research
Published: (2025)

15 Years of Algorithmic Fairness -- Scoping Review of Interdisciplinary Developments in the Field
by: Lenders, Daphne, et al.
Published: (2024)

Intergenerational Support for Deepfake Scams Targeting Older Adults
by: LaRubbio, Karina, et al.
Published: (2025)

Automatic Evaluation Metrics for Artificially Generated Scientific Research
by: Höpner, Niklas, et al.
Published: (2025)

Cyber Slavery Infrastructures: A Socio-Technical Study of Forced Criminality in Transnational Cybercrime
by: Sarkar, Gargi, et al.
Published: (2025)

Co-Designing Interdisciplinary Design Projects with AI
by: Liow, Wei Ting, et al.
Published: (2025)

An Interdisciplinary Survey on Information Flows in Supply Chains
by: Pennekamp, Jan, et al.
Published: (2023)

The World of Generative AI: Deepfakes and Large Language Models
by: Mitra, Alakananda, et al.
Published: (2024)

Reporting Non-Consensual Intimate Media: An Audit Study of Deepfakes
by: Qiwei, Li, et al.
Published: (2024)

Making Judicial Reasoning Visible: Structured Annotation of Holding, Evidentiary Considerations, and Subsumption in Criminal Judgments
by: Chih, Yu-Cheng, et al.
Published: (2025)