Corporate social responsibility and its communication on Twitter: analysis of the discourse and feelings generated in society

The purpose of this work is to analyze on a global level, without focusing any specific company or sector, the use that being made social media Twitter address communication processes CSR in companies. To do this, data was captured through programming R and using an Application Program Interface (API) Twitter. were analyzed text mining techniques graphical network analysis with help Gephi software, respectively. results show there are no notable groups movements corporate sphere as generators content. importance perspective should be emphasized. Finally, generates positive feelings emotions such trust society. It concluded efficient by companies tool, they not taking into account interests their stakeholders, nor generating dialogue interaction necessary for effective. main limitation associated time period which sample taken, coincides strong concern about pandemic. would interesting future research how discourse changes over time, what extent extraordinary situation, pandemic, reflected communication.