[+] Report: change

writing/report/project_report.tex

@@ -57,4 +57,20 @@ sorting=nyt
 
     Another variant of the frequency histogram will be plotted not against the date but against the country’s confirmed cases since people’s emotions of anxiety might be influenced by the growing or decreasing of confirmed cases. We will also graph some data using this variant to find more insights.
 
+    \section{Running Instructions}
+    \indent
+
+    TODO
+
+    \section{Changes to Proposal}
+    \indent
+
+    First, we originally planned to include news reports from separte journal websites in our analysis as well. However, when we gather the data, we found that there is no way to identify the popularity of a news report published on a journal website. So, we decided to gather the tweets of news accounts on Twitter instead, which will also have the benefit of having the same data gathering and analysis process for each news channel.
+
+    Second, we originally planned to compare people's interests in posting COVID-related topics between different platforms because we thought Chinese people don't rely on Twitter as much since Twitter is blocked in China. However, there isn't any publically available Wechat API that we can use for analysis, and Wechat is also more private, with access to someone's postings limited to only their friends. (It is as if everyone on Twitter has a locked account). Therefore, it is impractical to gather data from Wechat. And, for Telegram channels, the postings does not have a like feature, and might not have commenting feature unless the channel host specifically set up for it using a third-party bot. So there isn't a reliable way to obtain popularity data on Telegram as well. So, we were limited to analyzing Twitter as the only platform.
+
+    \section{Discussion}
+    \indent
+
+    TODO
 \end{document}