Método de Monitoramento de Redes Sociais: Epistemologia, técnicas e propostas de mineração de banco de dados para conteúdos gerados por fãs de telenovela em redes sociais

An epistemological investigation that aims to recognize the contributions derived from the field of communication for the social media monitoring method and techniques (SMM). The general objective remains to propose reflections on the method of monitoring social media for communication researchers, providing discussions on epistemological, theoretical, and practical issues for fan studies. Objectives: (1) to observe degrees of authority presented by current algorithms in monitoring techniques and which techniques are most cited in the context of carrying out such research; (2) propose applications of monitoring techniques for UGC research on social networking sites: Twitter, Facebook, and YouTube. Epistemological hypothesis: the citations of monitoring techniques on the Internet appear to be the “long tail” behavior, following the same mathematical rules of Pareto's Law alluding to the point of view or reference on the techniques. There are numerous quote techniques while there are concentrations of quotes on target in only 20% of them or something close. Quote concentration indicates the degree of algorithms that perform authority monitoring activities. From the point of view of authors who deal with monitoring techniques, it will be possible to detect hubs as a result of the concentrations of domain knowledge about the volume and quality of the SMM technical references. b) Practical hypothesis: free technical combinations or freemium models used for monitoring and mining CGU data can help in the study of telenovela fans and reception studies. Quantitative and qualitative methodologies were applied: hyperlink analysis, content analysis, and descriptive case study. Results: intentional sample of 10,642 links from which a relevant and significant subsample of 1,579 links was extracted. Results: the long tail of 2,139 social measurement monitoring techniques found citations of privilege techniques revealing degrees of authority between monitoring algorithms.