The abstract of critical discourse analysis of radicalism labeling by BNPT to Islamic site

The development of radicalism issues is begun by a radical group movement and its spread in social media is labeled as a radical element by , The Agency of National Counter Terrorism (BNPT). This research issues radicalism through the language because there is an element of the radical language becoming criteria of radical in social media. Pursuant to factual logical data, views from readers, this research aims at; 1) describing the criteria of the language use labelled radical by BNPT in Islamic pages; 2) investigating the ideology of radicalism views in Islamic pages; 3) describing how BNPT views Islamic pages; 4) finding the relevant result toward the discourse analysis learning in universities. The approach used in this study is the Critical Discourse Study approach belonging to descriptive qualitative. This study is based on the theory of Critical Discourse Analysis (CDA) as the main theories and supported by the use of Social Semiotic Theory proposed by Halliday to analyze criteria of radical language. Besides, this study is also based on the theory of ideology by Raymond William and Louis Althusser. To collect the data needed, this study employed observation and documentation techniques. The data gathered were then analyzed by using formal and informal methods. Then, they were categorized, classified, identified, labeled, and the data described. Based on results of the data analysis, it shows the use of the symbol or label criteria radical language, a linguistic and ideological overview of features on the site indicated radical and BNPT ’s view to that site. By examining from the perspective of macro and microstructure in the text, there are three topics the issue of jihad, demonstrations, takfirin . Besides, the use of microstructure including semantic syntactic, stylistic, rhetorical is the domain in terms of microstructure. In addition, there are micro syntactic and semantic aspects, stylistic, and rhetorical aspects that domain the results.