Deepfakes and Democracy (Theory): How Synthetic Audio-Visual Media for Disinformation and Hate Speech Threaten Core Democratic Functions

Author:

Pawelec MariaORCID

Abstract

AbstractObservers fear that deepfakes will shake the very foundations of democracy. Notwithstanding, in-depth scholarly analyses of deepfakes’ political impact are rare, and do not consider theories of democracy. This contribution helps close this research gap, drawing on Warren’s problem-oriented democracy theory, as well as theories of deliberative democracy and contributions on the role of trust in democracies. I identify three core functions of democratic systems and their normative foundations, namely empowered inclusion, collective agenda and will formation (supported by deliberation), and collective decision-making. Based on a literature and media analysis, I systematize different types of deepfakes serving either disinformation or hate speech and outline how they weaken core democratic functions and norms: Deepfakes impede citizens’ empowered inclusion in debates and decisions that affect them, e.g. by hampering efforts to hold political representatives accountable or further marginalizing certain societal groups such as women or ethnic minorities. Deepfakes also undermine collective agenda and will formation by threatening the epistemic quality of deliberation as well as citizens’ mutual empathy and respect. This culminates in a decreased legitimacy of collective decisions taken, which is additionally threatened by pervasive (but mostly speculative) fears of deepfake election manipulation. My analysis has implications for (future) governance efforts addressing deepfakes. Such efforts are increasing, e.g. on the part of social media platforms, but also (supra-)national regulatory bodies.

Funder

Bundesministerium für Bildung und Forschung

Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg

Eberhard Karls Universität Tübingen

Publisher

Springer Science and Business Media LLC

Reference93 articles.

1. Ajder, H., Patrini, G., Cavalli, F., & Cullen, L. (2019). The state of deepfakes: landscape, threats, and impact. Deeptrace.

2. Barari, S., Lucas, C., & Munger, K. (2021). Political deepfakes are as credible as other fake media and (sometimes) real media. Preprint.

3. Bastian, M. (2020). Deepfakes. China-Propaganda bei Facebook und Instagram. Mixed, 26 September. Available at: https://mixed.de/deepfakes-china-propaganda-bei-facebook-und-instagram/ (Accessed 23 November 2020).

4. Bastian, M. (2022). Möglicher Selenskyj-Deepfake: Miserabel und dennoch historisch. Mixed, 17 March. Available at: https://mixed.de/selenskyj-deepfake-miserabel-und-dennoch-historisch/ (Accessed 25 April 2022).

5. Beaumont, P. (2021). Donald Trump fans cry betrayal as he rebukes Capitol violence. The Guardian, 8 January. Available at: https://www.theguardian.com/us-news/2021/jan/08/trump-incites-anger-among-acolytes-let-down-by-lack-of-support (Accessed 30 April 2021).

Cited by 21 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Infrastructural justice for responsible software engineering,;Journal of Responsible Technology;2024-09

2. The Future of Ethical AI in Large Language Models;Advances in Computational Intelligence and Robotics;2024-08-30

3. Automated Communication’s Impact on Strategic Communication: Implications from a Systematic Review;International Journal of Strategic Communication;2024-07-30

4. The Implications of Deep Fakes Impact on Politics and Elections;Advances in Information Security, Privacy, and Ethics;2024-07-26

5. Deepfakes: a survey and introduction to the topical collection;Synthese;2024-06-26

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3