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How does the interest about North Korea evolve through time?

q1svg-trendline november 2016 december february april june august october january 2017 march may july september 31,000 44,000 57,000 70,000 83,000 96,000 nove 2016 december february april june august october jan 2017 march may july september 50 100 150 200 250 300 North Korea fires a missile over Japan First North Koreannuclear missile test in 2017 NUCLEAR THREAT NUCLEAR THREAT POLITICS “He (Trump) should know that he is just a hideous criminal sentenced to death by the Korean people," Trump diplomacy trip in Asia failed and Rodong Sinmun published a editorial: Kim-jong-Un threatsUS military base inGuam november 2016 december february april june august october january 2017 march may july september 500,000 1,000,000 1,500,000 2,000,000 2,500,000 3,000,000 3,500,000 4,000,000 GOOGLE TREND “North Korea” on Google researchbetween November 2016 and November 2017 BAIDU INDEX “North korea” on Baidu researchbetween November 2016 and November 2017 CRIMSON HEXAGON Social conversations about NorthKorea from November 2016to November 2017
Description Protocol Data

Description

We employed Google Trends, Baidu Index and Crimson Hexagon to portray the general ongoing tendency about North Korea. The former two to investigate how search engines researches are behaving, the latter to control social conversations about the topic. Framing it as a wider phenomenon helped us understanding which are the main conversations going on on North Korea. Both Search Engines and social conversations peeks are strictly related to Trump, nuclear threats from the Hermit Country and diplomacy making. Trend lines show us how the public debate on North Korea is accelerating, especially after the first nuclear test of 2017, occurred in April. From that day one posts and user generated contents are constantly rising.

Protocol

protocolq1-trendline TABLEAU How does the interest about North Korea evolve through time? QUERY NORTH KOREARESEARCHQUERY CORPUS DEFINITION BAIDU INDEX GOOGLE TREND CRIMSON HEXAGON csvdownload csvdownload csvdownload VISUALIZATION TREND LINE TREND LINE TREND LINE Illustrator(cleaning) - location: United States- time range: Nov 2016-Nov 2017

We setted “North Korea” as research query. Using Google Trend and Baidu Index we selected the topic, narrowed the timespan (we decided to consider the last year of researches, due to an higher amount of results) and downloaded the CSV files. Using Crimson Hexagon we wrote a generic query: (“north korea”) We selected our sources: Facebook, Google+, Twitter, Forums and Blogs. We narrowed the timespan considering only one year of contents and we downloaded the CSV file.

Data

Timestamp: 11/2016 - 11/2017

Data source: Google, Baidu, Crimson

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We obtained three different dataset: one for Baidu, one for Google and one for Crimson. Every dataset reported dates and number of researches/posts.