A Representative Study on Human Detection of Artificially Generated Media Across Countries

10 December 2023

Papers citing "A Representative Study on Human Detection of Artificially Generated Media Across Countries"

7 / 7 papers shown

Title
Humans can learn to detect AI-generated texts, or at least learn when they can't Jiří Milička Anna Marklová Ondřej Drobil Eva Pospíšilová DeLMO 19 0 0 03 May 2025
Deepfake-Eval-2024: A Multi-Modal In-the-Wild Benchmark of Deepfakes Circulated in 2024 Nuria Alina Chandra Ryan Murtfeldt Lin Qiu Arnab Karmakar Hannah Lee ... Sejin Paik Changyeon Lee Jongwook Choi Aerin Kim O. Etzioni 59 3 0 04 Mar 2025
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 56 17 0 28 Feb 2024
WaveFake: A Data Set to Facilitate Audio Deepfake Detection Joel Frank Lea Schonherr DiffM 129 123 0 04 Nov 2021
How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models Phillip Rust Jonas Pfeiffer Ivan Vulić Sebastian Ruder Iryna Gurevych 71 235 0 31 Dec 2020
High Fidelity Speech Synthesis with Adversarial Networks Mikolaj Binkowski Jeff Donahue Sander Dieleman Aidan Clark Erich Elsen Norman Casagrande Luis C. Cobo Karen Simonyan 223 239 0 25 Sep 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 279 10,348 0 12 Dec 2018