There is a newer version of this record available.

Dataset Open Access

A dataset of media realeases (Twitter, News and Comments, Youtube, Facebook) form Poland related to COVID-19 for open research

Andrzej Jarynowski

Researcher(s)
Daniel Płatek
Work package leader(s)
Małgorzata Stochmal

Social behavior has a fundamental impact on the dynamics of infectious diseases (such as COVID-19), challenging public health mitigation strategies and possibly the political consensus. The widespread use of the traditional and social media on the Internet provides us with an invaluable source of information on societal dynamics during pandemics. IWith this dataset we aim to understand mechanisms of COVID-19 epidemic-related social behavior in Poland deploying methods of computational social science and digital epidemiology. We have collected and analyzed COVID-19 perception on the Polish language Internet during 15.01-31.07 and labeled data quantitatively (Twitter, Youtube, Articles) and qualitatively (Facebook, Articles and Comments of Article) in the Internet by infomediological approach.

- manually coded 1,449 articles / Facebook posts from Lower Silesia (facebook_articles_lower_silesia.zip) and 111 texts from outside this region;

-extracted 57,306 representative articles (articles_till_06_08.zip) in Polish using Eventregitry.org tool in language Polish and topic "Coronavirus" in article body;

- extracted 1,015,199 (tweets_till_31_07_users.zip and tweets_till_31_07_text.zip) and Tweets from #Koronawirus in language Polish in Twitter.

- collected 1,574 videos (youtube_comments_till_31_07.zip and youtube_movie.csv) with keyword: Koronawirus on YouTube and 247,575 comments on them;

- We supplemented the media observations with an analysis of 244 social empirical studies on COVID-19 in Poland (empirical_studies.csv).

Reports and analyzes and coding books can be found in Polish at: http://www.infodemia-koronawirusa.pl

Files (147.6 MB)
Name Size
articles_till_06_08.zip
md5:3838a903a340fa7223e2892a833a2484
11.1 MB Download
empirical_studies.csv
md5:4a128ec44e524203f34cf0337511a1f4
117.0 kB Download
facebook_articles_lower_silesia.zip
md5:9f7be5eedbbb3f4b01a859d1b6fd719c
1.2 MB Download
tweets_till_31_07_text.zip
md5:ff73803828c782e4691eda40f4152106
69.8 MB Download
tweets_till_31_07_users.zip
md5:0ddfb4b0b8c0394b650f00f0e790bb5d
25.9 MB Download
youtube_comments_till_31_07.zip
md5:a6b8f92ac7203a02329dd2f5c78c950d
38.6 MB Download
youtube_movies.csv
md5:bc4fedcad2ed636116b2f6313a73fcbb
923.8 kB Download
  • Jarynowski A, Wójta-Kempa M, Belik V. TRENDS IN PERCEPTION OF COVID-19 IN POLISH INTERNET, Polish Epidemiological Review

  • Jarynowski A, Wójta-Kempa M, Płatek D, Krzowski Ł, Belik V. Spatial Diversity of COVID-19 Cases in Poland Explained by Mobility Patterns - Preliminary Results 2020; http://dx.doi.org/10.2139/ssrn.3621152

1,930
628
views
downloads
All versions This version
Views 1,93090
Downloads 62874
Data volume 8.2 GB1.3 GB
Unique views 1,60170
Unique downloads 36246

Share

Cite as