research question

Who is involved in the North Korean debate and what are they talking about?

USA GOOGLE NEWS, YOUTUBE, GOODREADS Results about North Korea divided per devices q2svg1-us DEVICES Books News Video R A T I O 0 , 2 2016 2017 0 , 4 0 , 6 0 , 8 1 , 0 October November Dicember November January February March April May June July August September October
CHN BAIDU NEWS, BAIDU VIDEO, BILIBILI, BOOKS Results about North Korea divided per devices
q2svg1-china R A T I O 0 , 2 2016 2017 0 , 4 0 , 6 0 , 8 1 , 0 October November Dicember November January February March April May June July August September October Books News Video DEVICES
treemapquestion2 BOOKS NEWS VIDEOS BOOKS NEWS VIDEOS NUCLEAR ISSUE CONFLICT POLITICS DEFECTORS HABITS ECONOMY SOCIAL ISSUE OTHER OTHER POLITICS SOCIALISSUE ECONOMY CONFLICT NUCLEAR ISSUE DEFECTORS NUCLEAR ISSUE CONFLICT HABITS POLITICS SOCIAL ISSUE DEFECTORS POLITICS HABITS NUCLEAR ISSUE SOCIAL ISSUE ECONOMY CONFLICT HISTORY POLITICS HABITS ECONOMY NUCLEAR ISSUE CONFLICT DEFECTORS SOCIAL ISSUE HISTORY HABITS POLITICS HISTORY CULTURE CONFLICT USA GOOGLE NEWS, YOUTUBE, GOODREADS Results about North Korea divided per topic CHN BAIDU NEWS, BAIDU VIDEO, BILIBILI, BOOKS Results about North Korea divided per topic

Description

There are many ways to approach the study of how North Korea is depicted in the media; this is why, at the beginning of our research project, we opted for the widest frame.

We investigated how the Eastern and Western media cover North Korea, in order to highlight critical points and patterns in the media and public opinion. Our main aim was to give the user a glimpse of what can be found on search engines and devices regarding the country.

We chose to focus on the press, videos, and books: three different media, with three different audiences and consumption modes, via different devices. Contents were not filtered: even non-relevant results were taken into account, as audiences will interact with them as well.

Protocol

prot2 Who is involved in the North Korean debate and what are they talking about? QUERY NORTH KOREARESEARCHQUERY CORPUS DEFINITION Youtube Google News Goodreads U.S.NORTH KOREANDEFECTORS Books Baidu News 脱北 CHINA Baidu Videos+ Bilibili Excel Excel Excel OpenRefine(cleaning) OpenRefine(cleaning) ManualTopicLabeling ManualTopicLabeling ManualTopicLabeling BBEdit(cleaning) YTDTAnalysis DMI TOOLS Dataset 4 Dataset 5 Dataset 6 WEBSCRAPER WEBSCRAPER 400results 430results 315results 128results+421results Excel Excel Excel Manual Cleaning EnglishTranslation EnglishTranslation EnglishTranslation Manual Cleaning Manual Cleaning ManualTopicLabeling ManualTopicLabeling ManualTopicLabeling Dataset 1 Dataset 2 Dataset 3 WEBSCRAPER 400results 71results VISUALIZATION TABLEAU GANTT CHART Illustrator(cleaning) - location: United States- time range: last 5 years- type: Google Search - 1st step: Analysis of each result- 2nd step: Manual topic labeling - 3rd step: Comparison of each dataset - 4th step: Choice of macro-labellingcategories

We started from a broad query: “North Korea”, to avoid topic biasing. Relying on Google Trends (first question), we visualized the evolution of the topic over time and then we narrowed the timespan down to the last year, from November 2016 to November 2017.

Setting this timeframe, we explored Google and Baidu search engines, the former as a sample of US coverage, the latter for Chinese.

We then focused on Google News, YouTube, and Goodreads for the US, and on Baidu News, Baidu and Bilibili Videos, and Books for China. Using the exact same protocol for every device (with minor changes related to scraping tools and labeling – see the Protocol for more information) we labelled results according to the original rankings of each search engine, source, timestamp, and topic.

Finally, the resulting datasets were merged to create a visualization offering a general overview of North Korea’s depiction in the media.

Data

Timestamp: 11/2016 - 11/2017

Data source: Google News, Baidu News, Youtube,
Bilibili Goodreads, Baidu Books

We obtained 6 datasets: two for the news (Google News/Baidu News), two for the videos (YouTube/Bilibili) and two for the books (Goodreads/Baidu Books). Every dataset contains title, link, ranking, date and author or source of the content.