Detecting Deception, Not Deepfakes: Why Media Forensics Needs Social Theories

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ho, Jessee, Khushu, Shweta, Raza, Shaina
Format:	Preprint
Published:	2026
Subjects:	Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Theorizing Deception: A Scoping Review of Theory in Research on Dark Patterns and Deceptive Design
by: Chang, Weichen Joe, et al.
Published: (2024)

The Deepfakes We Missed: We Built Detectors for a Threat That Didn't Arrive
by: Raza, Shaina
Published: (2026)

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

Practical Guide for Causal Pathways and Sub-group Disparity Analysis
by: Kohankhaki, Farnaz, et al.
Published: (2024)

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

Fake News, Disinformation, and Deepfakes: Leveraging Distributed Ledger Technologies and Blockchain to Combat Digital Deception and Counterfeit Reality
by: Fraga-Lamas, Paula, et al.
Published: (2019)

Stuck in the Turing Matrix: Inauthenticity, Deception and the Social Life of AI
by: Collins, Samuel Gerald
Published: (2026)

Deception Decoder: Proposing a Human-Focused Framework for Identifying AI-Generated Content on Social Media
by: Kerbage, C. Bowman
Published: (2025)

Why Current Affairs Needs Social Theory
by: Stones, Rob
Published: (2022)

The Traffickers' Pitch: Detecting Deceptive Recruitment in Online Job Boards
by: Zhou, Siyi, et al.
Published: (2026)

Automatically Detecting Online Deceptive Patterns
by: Nayak, Asmit, et al.
Published: (2024)

Tiered Anonymity on Social-Media Platforms as a Countermeasure against Deepfakes and LLM-Driven Mass Misinformation
by: Khachaturov, David, et al.
Published: (2025)

On Demographic Transformation: Why We Need to Think Beyond Silos
by: Maravilla, Nicholle Mae Amor Tan, et al.
Published: (2025)

Rethinking Individual Fairness in Deepfake Detection
by: Hou, Aryana, et al.
Published: (2025)

Recent Advancements In The Field Of Deepfake Detection
by: Krueger, Natalie, et al.
Published: (2023)

The Dead Internet Theory: A Survey on Artificial Interactions and the Future of Social Media
by: Muzumdar, Prathamesh, et al.
Published: (2025)

Deception and Manipulation in Generative AI
by: Tarsney, Christian
Published: (2024)

Diverse Misinformation: Impacts of Human Biases on Detection of Deepfakes on Networks
by: Lovato, Juniper, et al.
Published: (2022)

Banal Deception Human-AI Ecosystems: A Study of People's Perceptions of LLM-generated Deceptive Behaviour
by: Zhan, Xiao, et al.
Published: (2024)

Digital Deception: Generative Artificial Intelligence in Social Engineering and Phishing
by: Schmitt, Marc, et al.
Published: (2023)

How to Detect Information Voids Using Longitudinal Data from Social Media and Web Searches
by: Scalco, Irene, et al.
Published: (2026)

Cyberbullying Detection: Exploring Datasets, Technologies, and Approaches on Social Media Platforms
by: Philipo, Adamu Gaston, et al.
Published: (2024)

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

Ethical Implications of Training Deceptive AI
by: Starace, Jason, et al.
Published: (2026)

Access Over Deception: Fighting Deceptive Patterns through Accessibility
by: Pellkvist, Tobias, et al.
Published: (2026)

Media Forensics and Deepfake Systematic Survey
by: CH, Nadeem Jabbar, et al.
Published: (2024)

An Attention-Based Denoising Framework for Personality Detection in Social Media Texts
by: Lin, Lei, et al.
Published: (2023)

Preserving Fairness Generalization in Deepfake Detection
by: Lin, Li, et al.
Published: (2024)

A High-Scale Assessment of Social Media and Mainstream Media in Scientific Communication
by: Yang, Yang, et al.
Published: (2025)

Rapid Integration of LLMs in Healthcare Raises Ethical Concerns: An Investigation into Deceptive Patterns in Social Robots
by: Ranisch, Robert, et al.
Published: (2024)

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

Training-Free Multimodal Deepfake Detection via Graph Reasoning
by: Liu, Yuxin, et al.
Published: (2025)

Tracer: A Forensic Framework for Detecting Fraudulent Speedruns from Game Replays
by: Yoo, Jaeung Franciskus, et al.
Published: (2025)

The Patterns of Digital Deception
by: Dickinson, Gregory M.
Published: (2024)

Rethinking Hate Speech Detection on Social Media: Can LLMs Replace Traditional Models?
by: Singh, Daman Deep, et al.
Published: (2025)

Social Robots for People Living with Dementia: A Scoping Review on Deception from Design to Perception
by: Wang, Fan, et al.
Published: (2025)

Shaping the Future of Social Media with Middleware
by: Hogg, Luke, et al.
Published: (2024)

Analyzing Fairness in Deepfake Detection With Massively Annotated Databases
by: Xu, Ying, et al.
Published: (2022)

Gun Culture in Fringe Social Media
by: Tahmasbi, Fatemeh, et al.
Published: (2024)

The Evolution of Language in Social Media Comments
by: Di Marco, Niccolò, et al.
Published: (2024)