4,094
Views
2
CrossRef citations to date
0
Altmetric
Research Article

Motivations behind catcalling: exploring men’s engagement in street harassment behaviour

& ORCID Icon
Pages 689-703 | Received 14 Sep 2020, Accepted 23 Mar 2021, Published online: 02 Apr 2021
 

ABSTRACT

‘Catcalling’ is a common form of street harassment, often described as sexual harassment from a stranger in a public place. In most cases, it involves a man intruding on a woman’s attention using words, whistles, sounds, or gestures, which essentially define the woman as a sexual object. The purpose of the present study was to explore men’s motivations for catcalling and to investigate the characteristics of men who catcall relative to those who do not. Male participants (N = 258) completed online survey measures of sexism, masculinity/femininity, social dominance, and attitudes towards sexual harassment. We also included a measure exploring motivations for catcalling and reactions that catcallers hope to elicit in their targets. The most frequently reported motivations for catcalling were to flirt with and to express sexual interest in the target, and the most desired reaction from recipients was friendliness. Further, men who reported having engaged in catcalling demonstrated higher levels of hostile sexism, self-ascribed masculinity, social dominance orientation, and tolerance of sexual harassment.

Disclosure statement

No potential conflict of interest was reported by the authors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 253.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.