The Power of Online Media: Critical Discourse Analysis of Security Critics

Abstract

Security issue has become the most reported headline in mass media. This issue is categorized as hard news, which is covered and reported as soon as it happens. All aspects which are written and displayed in the text could influence the readers. Although many believe that news exist to inform the reader, news can be misled and contain specific point of view toward some issues. Critical discourse analysis becomes the tool to find out how editor use their power in composing text. This research is using qualitative method to a text from online media talking about security critics. As for verbal aspect, researcher is using appraisal theory (Martin and White, 2005) and for nonverbal aspect is using news value of photography by Caple (2013). The result is the differences in distribution in negativity aspects as the verbal one carries more negative aspects than the nonverbal. The result also shows how the writer and editor's position and tendency toward the event in reporting news such as negative judgment.

Appraising Twitter Users’ Attitude on “Writing Last Line Story”: SFL Approach on Closing Statement in Cyber Literature

“…(J.R. Martin and P.R.R. White, 2005) (Afriliani, Yuwono & Kushartanti, 2018). Then with attention to the 100 samples and tapering to 20 samples, this research compared the gap of evaluation on them and presented model analysis by three selected tweets.…”

“…Entering the appraisal analysis, we would like to highlight previous findings on several evaluations and its tendency. In security critics' text (Afriliani, Yuwono & Kushartanti, 2018), the result significantly weighed the judgment of discourse and very little appreciation.…”

“…Appraising user writing has been done in several ways, primarily in non-fiction writing, opinion, fact, and rarely in fiction. It was appraising trends like security on critical discourse analysis aiming to search media point of view on an issue (Afriliani, Yuwono & Kushartanti, 2018). A study by Neviarouskaya et al (2010) assessed social opinion by data based on quantitatively categorizing words by SFL criterion.…”