Deepfake Detection With and Without Content Warnings
Author
Abstract
Suggested Citation
DOI: 10.31219/osf.io/cb7rw
Download full text from publisher
References listed on IDEAS
- Nathan F. Dieckmann & Robin Gregory & Ellen Peters & Robert Hartman, 2017. "Seeing What You Want to See: How Imprecise Uncertainty Ranges Enhance Motivated Reasoning," Risk Analysis, John Wiley & Sons, vol. 37(3), pages 471-486, March.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- repec:cup:judgdm:v:16:y:2021:i:2:p:363-393 is not listed on IDEAS
- Galvao, Ana Beatriz & Mitchell, James & Runge, Johnny, 2019.
"Communicating Data Uncertainty: Experimental Evidence for U.K. GDP,"
EMF Research Papers
30, Economic Modelling and Forecasting Group.
- Ana Beatriz Galvão & James Mitchell & Johnny Runge, 2019. "Communicating Data Uncertainty: Experimental Evidence for U.K. GDP," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2019-20, Economic Statistics Centre of Excellence (ESCoE).
- repec:wrk:wrkemf:22 is not listed on IDEAS
- Toshio Fujimi & Masahide Watanabe & Hirokazu Tatano, 2021. "Public trust, perceived accuracy, perceived likelihood, and concern on multi-model climate projections communicated with different formats," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 26(5), pages 1-20, June.
- Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022.
"Forecasting: theory and practice,"
International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
- Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
- Carissa Bonner & Lyndal J. Trevena & Wolfgang Gaissmaier & Paul K. J. Han & Yasmina Okan & Elissa Ozanne & Ellen Peters & Daniëlle Timmermans & Brian J. Zikmund-Fisher, 2021. "Current Best Practice for Presenting Probabilities in Patient Decision Aids: Fundamental Principles," Medical Decision Making, , vol. 41(7), pages 821-833, October.
- Ana Beatriz Galvão & James Mitchell, 2024.
"Communicating Data Uncertainty: Multiwave Experimental Evidence for UK GDP,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 56(1), pages 81-114, February.
- Ana Galvao & James Mitchell, 2021. "Communicating Data Uncertainty: Multi-Wave Experimental Evidence for U.K. GDP," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2021-06, Economic Statistics Centre of Excellence (ESCoE).
- Ana B. Galvão & James Mitchell, 2021. "Communicating Data Uncertainty: Multi-Wave Experimental Evidence for UK GDP," Working Papers 21-28R, Federal Reserve Bank of Cleveland, revised 13 Jul 2022.
- Galvão, Ana Beatriz & Mitchell, James, 2021. "Communicating Data Uncertainty: Multi-Wave Experimental Evidence for U.K. GDP," CEPR Discussion Papers 16417, C.E.P.R. Discussion Papers.
- David R. Mandel & Daniel Irwin, 2021. "Facilitating sender-receiver agreement in communicated probabilities: Is it best to use words, numbers or both?," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 16(2), pages 363-393, March.
- Shoots-Reinhard, Brittany & Goodwin, Raleigh & Bjälkebring, Pär & Markowitz, David M. & Silverstein, Michael C. & Peters, Ellen, 2021. "Ability-related political polarization in the COVID-19 pandemic," Intelligence, Elsevier, vol. 88(C).
- Branden B. Johnson, 2019. "Experiments in Lay Cues to the Relative Validity of Positions Taken by Disputing Groups of Scientists," Risk Analysis, John Wiley & Sons, vol. 39(8), pages 1657-1674, August.
More about this item
NEP fields
This paper has been announced in the following NEP Reports:- NEP-AIN-2023-11-27 (Artificial Intelligence)
- NEP-BIG-2023-11-27 (Big Data)
- NEP-EXP-2023-11-27 (Experimental Economics)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:osf:osfxxx:cb7rw. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.