
Social Web Memes: Self Images and the Circulation of Stereotypes on Google and Facebook
Author(s) -
Lafayette Batista Melo
Publication year - 2018
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5753/waihcws.2018.3892
Subject(s) - computer science , circulation (fluid dynamics) , world wide web , social media , social web , sentiment analysis , cyberpsychology , artificial intelligence , physics , thermodynamics
This article describes the working of memes in the Social Web that build stereotypes and images that people make of themselves. The theoretical-methodological approach of French Speech Analysis is used. Memes are collected in search results from Google, Google Images and Facebook to build the search corpus. It is concluded that memes have discursive peculiarities in their internal structure and in their ensemble for a social group, that people can increasingly read messages that are not intended for them and that humor acts for the intense circulation of this communication format.