02646nas a2200361   4500000000100000000000100001008004100002653002600043653001300069653001500082653003400097653002100131653002100152653002100173653002500194653002800219653001900247653001700266653002100283653002800304653003100332653001800363653001200381100002500393700003100418700002600449700002500475245010900500856014400609490000600753520150500759022002002264                                       d10aCultural transmission10afeminism10aHashtivism10aIntangible cultural heritages10amachine learning10amachine learning10aMachine-learning10aScientific community10aSocial Network Analysis10aSocial aspects10aSocial media10aSocial movements10aSocial network analysis10aSocial networking (online)10aTransmissions10aTwitter1 aJordi Morales-i-Gras1 aJulen Orbegozo-Terradillos1 aAinara Larrondo-Ureta1 aSimon Pena-Fernandez00aNetworks and Stories. Analyzing the Transmission of the Feminist Intangible Cultural Heritage on Twitter  uhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85120175123&doi=10.3390%2fbdcc5040069&partnerID=40&md5=80877165a8adb5410f0224d0bc64db5e0 v53 aInternet social media is a key space in which the memorial resources of social movements, including the stories and knowledge of previous generations, are organised, disseminated, and reinterpreted. This is especially important for movements such as feminism, which places great emphasis on the transmission of an intangible cultural legacy between its different generations or waves, which are conformed through these cultural transmissions. In this sense, several authors have highlighted the importance of social media and hashtivism in shaping the fourth wave of feminism that has been taking place in recent years (e.g., \#metoo). The aim of this article is to present to the scientific community a hybrid methodological proposal for the network and content analysis of audiences and their interactions on Twitter: we will do so by describing and evaluating the results of different research we have carried out in the field of feminist hashtivism. Structural analysis methods such as social network analysis have demonstrated their capacity to be applied to the analysis of social media interactions as a mixed methodology, that is, both quantitative and qualitative. This article shows the potential of a specific methodological process that combines inductive and inferential reasoning with hypothetico-deductive approaches. By applying the methodology developed in the case studies included in the article, it is shown that these two modes of reasoning work best when they are used together.  a25042289 (ISSN)