This research presents methodological alternatives for empirical studies aiming at the incorporation of the memetic perspective to the epistemological repertoire of Information Science. Starting from a proposal of analysis of fictions created within the informational flow of posts in two political groups on Twitter – Mídia Ninja and Movimento Brasil Livre – referring to the opening of the impeachment against President Dilma Rousseff. It is intended to carry out the identification and analysis of the minor units (pieces) of information from the base of this flow capable of being replicated (Richard Dawkins’ “memes”) to assess the mutations they have suffered from the president’s reelection to her impeachment Trial. Since this action would only be possible through the gathering of material that allowed the analysis not only of the content, but also of the context of the analyzed data, the extraction of these “social data” took place through the use of an Application Programming Interface (API), presented by Twitter in 2020. Access for data consumption was carried out with the development of scripts implemented in the Python programming language, following guidelines from the Tweepy Documentation library. It is proposed that the use of these methodological strategies allows the production of a graphic hypothesis of the genealogical relationships capable of expressing the ancestor-descendant sequences among the information in this flow. If successful, this analysis will make it possible to advance the concept of memes as minimal units of information and as an auxiliary element in understanding the organization and propagation of information in the social environment