Aquest article tracta sobre el sexisme en els acudits d'Internet egipcis. Examina com el llenguatge, entès com una institució controlada en gran mesura pels homes, és manipulat i utilitzat per desacreditar les dones en aquesta modalitat discursiva de l'humor. L'estudi consta d'una anàlisi qualitativa i quantitativa de 284 acudits sexistes d'Internet.This paper attempts to shed light on sexism in Egyptian Internet jokes. It examines how language, as an institution largely controlled by men, is manipulated and used to disparage women in this discursive mode of humor. Through running a qualitative and quantitative analysis of 284 sexist internet jokes, the study addressed three points; namely, the most frequently targeted category of women in sexist jokes; the most salient physical and personal attributes and finally the way sexist jokes is used to promote violence against women. The analysis has shown that the 'wife' is the category most ridiculed. The data also revealed that in spite of the freedom in anonymity that the internet provides, personal attributes far outnumber the physical features. The jokes conformed to the conservative nature of the society as derision of physical features was done through the use of general terms. The analysis has shown that 'hatefulness' was the most highly criticised personal attribute, with 'stupidity' coming second. It was also shown that under the guise of benign amusement, the effect of these jokes go beyond tolerating gender inequality to actually promoting physical violence against women. We conclude that in a patriarchal social system like that of Egypt, which already disparages women as the 'marked' and the 'different', such jokes should not be dismissed lightly as 'just jokes."Este artículo trata de arrojar luz sobre el sexismo en los chistes de Internet egipcios. Examina cómo el lenguaje, entendido como una institución controlada en gran medida por los hombres, es manipulado y utilizado para desacreditar a las mujeres en esta modalidad discursiva del humor. El estudio consta de un análisis cualitativo y cuantitativo de 284 chistes sexistas de Internet
