2000 words. Topic: A Critical Discourse Analysis of Depression in Hong Kong Online English News under COVID -19
[i will give you my data set and you have to use antconc 4.2.4 (can download) to generate data for Corpus analysis and CDA; 2000 words; no AI used]
The study aims to explore how Hong Kong online news media depict depression during the COVID-19 pandemic. By analyzing the language used in online news reports on depression conveyed by media outlets from January 1, 2020, to December 31, 2022, the research seeks to uncover the underlying ideologies embedded within the discourse in two English online newspapers over the same pandemic period. This study intends to shed light on how depression is framed and discussed during times of crisis like the COVID-19 pandemic. Hence, the following research question has been identified in accordance with the objectives of this study: (1) What linguistic patterns being used in news reports about depression in Hong Kong online English newspapers during the COVID-19 pandemic in 2020 to 2022? (2) How do these linguistic features in news reports about depression in Hong Kong online English newspapers during the COVID-19 pandemic in 2020 to 2022 reveal or reinforce the underlying social ideologies?
[TBC, to fit your analysis content]
for your reference: Data for this study was collected from two prominent Hong Kong online English newspapers, namely the South China Morning Post and the Hong Kong Free Press, accessible throughout their website.
you will need to focus the analysis on corpus linguistics (keywords/collocation/frequency) + Critical Discourse Aanalysis analysis of my topic, “depression in Hong Kong during COVID-19,”
I have attached the sample article, you may take a look only “the result part”, my analysis will be similar to this style and format. every data that generated from the software should be keep as reference and placed into the essay.
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