Framing Hate: Moral Foundations, Party Cues, and (In)Tolerance of Offensive Speech

被引:10
|
作者
Armstrong, Grant M. [1 ]
Wronski, Julie [1 ]
机构
[1] Univ Mississippi, Dept Polit Sci, POB 1848, University, MS 38677 USA
关键词
hate speech; political tolerance; moral foundations; party cues; POLITICAL REPRESSION; TERRORIST ATTACKS; PUBLIC-OPINION; UNITED-STATES; TOLERANCE; PARTISANSHIP; INTOLERANCE; PERCEPTIONS; ATTITUDES; BELIEFS;
D O I
10.5964/jspp.v7i2.1006
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
One of the most controversial elements of political tolerance concerns support for hate speech. We argue that there are two factors that can reduce tolerance for hate speech: 1) moral foundations and 2) party cues. U.S. citizens' tolerance of hate speech will be reduced when it is framed as a violation of a specific moral foundation, opposed by a political party, or when the morality violation is utilized by party elites. Using two survey experiments, we manipulated the target of hate speech (i.e. Muslims or the American flag), whether the speech violated a moral foundation (i.e. harm or loyalty), and which political party supported or opposed the hate speech in question. For flag burning, moral frames and party cues on their own reduced U.S. citizens' tolerance relative to a non-political control, while moral frames and party cues were successful in reducing tolerance of anti-Muslim speech compared to a free speech appeal. Partisans were generally responsive to cues from the in-party. We also found instances of moral repackaging, where morally incongruent appeals from the in-party reduced tolerance of flag burning among Democrats. Among Republicans, harm morality decreased tolerance of anti-Muslim speech when invoked by the in-party, but increased tolerance when used by the out-party - an indication of the power of party cues to repackage moral arguments and to trigger backlash. These results provide a better understanding of what factors can affect tolerance for hate speech, providing political leaders and social justice advocates with a roadmap to alleviate this problem.
引用
收藏
页码:695 / 725
页数:31
相关论文
共 50 条
  • [41] A survey inquiry into behavioral foundations of hate speech regulations: evidence from Japan
    Hirose, Kentaro
    Kim, Hae
    Kohno, Masaru
    [J]. JAPANESE JOURNAL OF POLITICAL SCIENCE, 2023, 24 (01) : 101 - 117
  • [42] HateBR: A Large Expert Annotated Corpus of Brazilian Instagram Comments for Offensive Language and Hate Speech Detection
    Vargas, Francielle
    Carvalho, Isabelle
    Goes, Fabiana
    Pardo, Thiago A. S.
    Benevenuto, Fabricio
    [J]. LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, 2022, : 7174 - 7183
  • [43] Night and Day: An Illustration of Framing and Moral Foundations in the Oklahoma Shariah Amendment Campaign
    Bowe, Brian J.
    Hoewe, Jennifer
    [J]. JOURNALISM & MASS COMMUNICATION QUARTERLY, 2016, 93 (04) : 967 - 985
  • [44] Permitted to Build? Moral Foundations in Newspaper Framing of Mosque-Construction Controversies
    Bowe, Brian J.
    [J]. JOURNALISM & MASS COMMUNICATION QUARTERLY, 2018, 95 (03) : 782 - 810
  • [45] A comprehensive review on Arabic offensive language and hate speech detection on social media: methods, challenges and solutions
    Abdelsamie, Mahmoud Mohamed
    Azab, Shahira Shaaban
    Hefny, Hesham A.
    [J]. SOCIAL NETWORK ANALYSIS AND MINING, 2024, 14 (01)
  • [46] Toxic, Hateful, Offensive or Abusive? What Are We Really Classifying? An Empirical Analysis of Hate Speech Datasets
    Fortuna, Paula
    Soler-Company, Juan
    Wanner, Leo
    [J]. PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2020), 2020, : 6786 - 6794
  • [47] Exploring Neural Embeddings and Transformers for Isolation of Offensive and Hate Speech in South African Social Media Space
    Oriola, Oluwafemi
    Kotze, Eduan
    [J]. COMPUTATIONAL SCIENCE AND ITS APPLICATIONS, ICCSA 2022, PT I, 2022, 13375 : 649 - 661
  • [48] Automatic Hate and Offensive speech detection framework from social media : the case of Afaan Oromoo language
    Kanessa, Lata Guta
    Tulu, Solomon Gizaw
    [J]. 2021 INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY FOR DEVELOPMENT FOR AFRICA (ICT4DA), 2021, : 42 - 47
  • [49] Offensive, aggressive, and hate speech analysis: From data-centric to human-centered approach
    Kocon, Jan
    Figas, Alicja
    Gruza, Marcin
    Puchalska, Daria
    Kajdanowicz, Tomasz
    Kazienko, Przemyslaw
    [J]. INFORMATION PROCESSING & MANAGEMENT, 2021, 58 (05)
  • [50] Beyond Hostile Linguistic Cues: The Gravity of Online Milieu for Hate Speech Detection in Arabic
    Chowdhury, Arijit Ghosh
    Didolkar, Aniket
    Sawhney, Ramit
    Shah, Rajiv Ratn
    [J]. PROCEEDINGS OF THE 30TH ACM CONFERENCE ON HYPERTEXT AND SOCIAL MEDIA (HT '19), 2019, : 285 - 286