HATE SPEECH LAWS: EXPRESSIVE POWER IS NOT THE ANSWER

Author:

Lepoutre MaximeORCID

Abstract

ABSTRACTAccording to the influential “expressive” argument for hate speech laws, legal restrictions on hate speech are justified, in significant part, because they powerfully express opposition to hate speech. Yet the expressive argument faces a challenge: why couldn't we communicate opposition to hate speech via counterspeech, rather than bans? I argue that the expressive argument cannot address this challenge satisfactorily. Specifically, I examine three considerations that purport to explain bans’ expressive distinctiveness: considerations of strength; considerations of directness; and considerations of complicity. These considerations either fail to establish that bans are expressively superior to counterspeech, or presuppose that bans successfully deter hate speech. This result severely undercuts the expressive argument's appeal. First, contrary to what its proponents suggest, this argument fails to circumvent the protracted empirical controversies surrounding bans’ effectiveness as deterrents. Second, the expressive argument appears redundant, because bans are expressively distinctive only insofar as hate speech is already suppressed.

Publisher

Cambridge University Press (CUP)

Subject

Law,Philosophy

Reference47 articles.

1. Toleration as Recognition

2. A Constitutional Roadmap to the Regulation of Regulation of Campus Map;Weinstein;Wayne Law Review,1991

Cited by 6 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. Bystanders’ collective responses set the norm against hate speech;Humanities and Social Sciences Communications;2024-02-29

2. Strong Political Liberalism;Law and Philosophy;2024-02-22

3. A Republican Conception of Counterspeech;Ethical Theory and Moral Practice;2023-07-28

4. The eradication of hate speech on social media: a systematic review;Journal of Information, Communication and Ethics in Society;2023-07-03

5. Law as Counterspeech;Ethical Theory and Moral Practice;2022-11-09

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