This study sheds new insight into how previously unconnected individuals in online information campaigns create deliberate, tactical groupings aimed at collective action. Using Twitter and Instagram data, our approach analyzes the sociological and cognitive processes that underpin online social movements through social-technical analysis and NLP techniques. Our approach is centered on comprehending the emergence of collective identity amid political protests during the Brazil Election. The findings show that the network grows more coherent and that the narratives become increasingly similar in the run-up to the Brazil capital riot, implying collective identity development from both content and network structure perspectives. The study looks at the effectiveness of mobilizing resources during social movement protests. Our data show that there was an upsurge in sympathy for anti-government groups in the lead-up to the riots. This study presents a novel technique for assessing socio-cognitive aspects influencing participants' activities in online collective action.