weet-dataset-for-COVID-19-social-science-research

所属分类:生物医药技术
开发工具:R
文件大小:27771KB
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上传日期:2023-05-14 14:54:13
上 传 者sh-1993
说明:  新冠肺炎社会科学研究机构和新闻-媒体-推特数据集,新冠肺炎流行期间机构新闻媒体推特数据的开放存取数据存储库
(Institutional-and-news-media-tweet-dataset-for-COVID-19-social-science-research,Open access data repository for institutional news media tweet dataset in the time of COVID-19 pandemic)

文件列表:
.DS_Store (14340, 2021-02-21)
.Rhistory (0, 2021-02-21)
V1.00_update_2020_04_01 (0, 2021-02-21)
V1.00_update_2020_04_01\.DS_Store (8196, 2021-02-21)
V1.00_update_2020_04_01\ADDITIONAL_news_tweet_id (0, 2021-02-21)
V1.00_update_2020_04_01\ADDITIONAL_news_tweet_id\.DS_Store (6148, 2021-02-21)
V1.00_update_2020_04_01\ADDITIONAL_news_tweet_id\AJEnglish_id.txt (89773, 2021-02-21)
V1.00_update_2020_04_01\ADDITIONAL_news_tweet_id\DeutscheWelle_id.txt (65063, 2021-02-21)
V1.00_update_2020_04_01\ADDITIONAL_news_tweet_id\RT_com_id.txt (106725, 2021-02-21)
V1.00_update_2020_04_01\ADDITIONAL_news_tweet_id\repubblica_id.txt (250806, 2021-02-21)
V1.00_update_2020_04_01\CHINA_news_tweet_id (0, 2021-02-21)
V1.00_update_2020_04_01\CHINA_news_tweet_id\CCTV_id.txt (69435, 2021-02-21)
V1.00_update_2020_04_01\CHINA_news_tweet_id\CGTNOfficial_id.txt (104571, 2021-02-21)
V1.00_update_2020_04_01\CHINA_news_tweet_id\PDChina_id.txt (82256, 2021-02-21)
V1.00_update_2020_04_01\CHINA_news_tweet_id\XHNews_id.txt (105325, 2021-02-21)
V1.00_update_2020_04_01\CHINA_news_tweet_id\globaltimesnews_id.txt (126650, 2021-02-21)
V1.00_update_2020_04_01\FRANCE_news_tweet_id (0, 2021-02-21)
V1.00_update_2020_04_01\FRANCE_news_tweet_id\France24_en_id.txt (89206, 2021-02-21)
V1.00_update_2020_04_01\FRANCE_news_tweet_id\France24_fr_id.txt (83666, 2021-02-21)
V1.00_update_2020_04_01\FRANCE_news_tweet_id\LeHuffPost_id.txt (95797, 2021-02-21)
V1.00_update_2020_04_01\FRANCE_news_tweet_id\Le_Figaro_id.txt (191115, 2021-02-21)
V1.00_update_2020_04_01\FRANCE_news_tweet_id\RFI_id.txt (94998, 2021-02-21)
V1.00_update_2020_04_01\FRANCE_news_tweet_id\le_Parisien_id.txt (203564, 2021-02-21)
V1.00_update_2020_04_01\FRANCE_news_tweet_id\lemondefr_id.txt (111994, 2021-02-21)
V1.00_update_2020_04_01\GERMANY_news_tweet_id (0, 2021-02-21)
V1.00_update_2020_04_01\GERMANY_news_tweet_id\.DS_Store (6148, 2021-02-21)
V1.00_update_2020_04_01\GERMANY_news_tweet_id\BILD_id.txt (126237, 2021-02-21)
V1.00_update_2020_04_01\GERMANY_news_tweet_id\DIEZEIT_id.txt (71408, 2021-02-21)
V1.00_update_2020_04_01\GERMANY_news_tweet_id\FOCUS_TopNews_id.txt (125966, 2021-02-21)
V1.00_update_2020_04_01\GERMANY_news_tweet_id\SZ_id.txt (87503, 2021-02-21)
V1.00_update_2020_04_01\GERMANY_news_tweet_id\Tagesspiegel_id.txt (108291, 2021-02-21)
V1.00_update_2020_04_01\GERMANY_news_tweet_id\derspiegel_id.txt (86934, 2021-02-21)
V1.00_update_2020_04_01\GERMANY_news_tweet_id\faznet_id.txt (104930, 2021-02-21)
V1.00_update_2020_04_01\GERMANY_news_tweet_id\fr_id.txt (69054, 2021-02-21)
V1.00_update_2020_04_01\GERMANY_news_tweet_id\spiegelonline_id.txt (64790, 2021-02-21)
V1.00_update_2020_04_01\GERMANY_news_tweet_id\spiegelonline_id_stop_tweeting_at_20200108.txt (64790, 2021-02-21)
V1.00_update_2020_04_01\GERMANY_news_tweet_id\tazgezwitscher_id.txt (83709, 2021-02-21)
V1.00_update_2020_04_01\GERMANY_news_tweet_id\welt_id.txt (142621, 2021-02-21)
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# Institutional-and-news-media-tweet-dataset-for-COVID-19-social-science-research Open access data repository for institutional/news media tweet dataset in the time of COVID-19 pandemic Detail information pre-print avaliable at: https://arxiv.org/abs/2004.01791 ----------------------- #IMPORTANT INFORMATION ----------------------- As Twitter has provided a new academic API, which gives access to full historical data, this dataset will be no longer updated since Feb 20, 2021. Thank you very much for all your interests in this small project. --------------------- #UPDATE EVERY THURSDAY --------------------- News media and government/international organization tweets across different countries (eg. US, UK, ***, Spain, France, Germany etc) Feel free to share this repo. Data collected using twitter REST API. First data collection at March 12, 2020 (updated on my PC every week). This means the first time I collect the most recent 3200 tweets (official limits) of all the target accounts, then update weekly. ##V1.46 Last update: from Feb 11 to Feb 17 ##V1.45 update data from Feb 04 to Feb 10 ##V1.44 update data from Jan 28 to Feb 03 * `@GuiseppeConteIT` (has resigned) and `@socialstyrelsen` tweeted 0 message. * I will no longer update `eu_leadership` from the next week ##V1.43 update data from Jan 21 to Jan 27 ##V1.42 update data from Jan 14 to Jan 20 * `@socialstyrelsen` tweeted 0 message ##V1.41 update data from Jan 7 to Jan 13 * `election_us` has been removed from my tracking list ##V1.40 update data from Dec 31 to Jan 6 (2021) * `@socialstyrelsen` tweeted 0 message ##V1.39 update data from Dec 24 to Dec 30 * `@Itamaraty_EN` tweeted 0 message ##V1.38 update data from Dec 17 to Dec 23 Merry Xmas ##V1.37 update data from Dec 10 to Dec 16 * Due to their low tweeting frequency, `@BrazilGovNews` and `@French_Gov` have been removed from my tracking list. ##V1.36 update data from Dec 3 to Dec 9 * `@BrazilGovNews` and `@French_Gov` tweet 0 message ##V1.35 update data from Nov 26 to Dec 2 * `@BrazilGovNews` and `@French_Gov` tweet 0 message ##V1.34 update data from Nov 19 to Nov 25 * `@BrazilGovNews` and `@French_Gov` tweet 0 message ##V1.33 update data from Nov 12 to Nov 18 * `@BrazilGovNews` and `@French_Gov` tweet 0 message ##V1.32 update data from Nov 5 to Nov 11 * `@BrazilGovNews` and `@French_Gov` tweet 0 message ##V1.31 update data from Oct 29 to Nov 4 * `@BrazilGovNews` and `@French_Gov` tweet 0 message ##V1.30 update data from Oct 22 to Oct 28 * `@BrazilGovNews` and `@French_Gov` tweet 0 message ##V1.29 update data from Oct 15 to Oct 21 * `@BrazilGovNews` and `@French_Gov` tweet 0 message ##V1.28 update data from Oct 8 to Oct 14 * `@BrazilGovNews` and `@French_Gov` tweet 0 message ##V1.27 update data from Oct 1 to Oct 7 * `@BrazilGovNews`, `@socialstyrelsen` and `@French_Gov` tweet 0 message ##V1.26 update data from Sep 24 to Sep 30 * `@BrazilGovNews`, `@Itamaraty_EN` and `@French_Gov` tweet 0 message ##V1.25 update data from Sep 17 to Sep 23 * `@BrazilGovNews` and `@French_Gov` tweet 0 message ##V1.24 update data from Sep 10 to Sep 16 * `@BrazilGovNews`, `@Itamaraty_EN` `@SwedishPM`and `@French_Gov` tweet 0 message ##V1.23 update data from Sep 3 to Sep 9 * `@BrazilGovNews`, `@socialstyrelsen` and `@French_Gov` tweet 0 message * `@foreignoffice` will be removed from the next update ##V1.22 update data from Aug 27 to Sep 2 * `@BrazilGovNews`, `@Itamaraty_EN`, `@SwedishPM`, `@French_Gov` and `@foreignoffice` tweet 0 message * It seems like the twitter account `@foreignoffice` has met some problem, and the tweets are not publicly available any more. ##V1.21 update data from Aug 20 to Aug 26 * `@BrazilGovNews`, `@socialstyrelsen` and `@French_Gov` tweet 0 message ##V1.20 update data from Aug 13 to Aug 19 * `@BrazilGovNews`, `@Itamaraty_EN`. `@socialstyrelsen` and `@French_Gov` tweet 0 message ##Extra update 1 * `example_doc_classifier.R` is the example (election_us) script I used to subset all the collected data ##V1.19 update data from Aug 6 to Aug 12 * `@BrazilGovNews`, `@socialstyrelsen` and `@French_Gov` tweet 0 message ##V1.18 update data from Jul 30 to Aug 5 * `@BrazilGovNews` and `@French_Gov` tweet 0 message ##V1.17 update data from Jul 23 to Jul 29 * `@BrazilGovNews`, `@French_Gov`, `@SwedishPM` tweet 0 message ##V1.16: update data from Jul 16 to Jul 22 * `@BrazilGovNews`, `@Itamaraty_EN`, `@French_Gov`, `@socialstyrelsen` tweet 0 message ##V1.15: update data from Jul 9 to Jul 15 * `@BrazilGovNews` and `@French_Gov` tweeted 0 message ##V1,14: update data from Jul 2 to Jul 8 * `@BrazilGovNews`, `@Itamaraty_EN`, `@French_Gov`, `@socialstyrelsen`, `@SwedishPM` tweeted 0 message ##V1.13: update data from Jun 25 to Jul 1 * New added: Two Italian news media: `@LaStampa` and `@Corriere` * `@BrazilGovNews` and `@French_Gov` tweeted 0 message ##V1.12: update data from Jun 18 to Jun 24 * New added: `SE_tweet_id` Swedish gov, PM and news media tweets * Attention: During 0618-0624 `@BrazilGovNews` tweeted 0 message * Attention: During 0618-0624 `@French_Gov` tweeted 0 message ##V1.11: update data from Jun 11 to Jun 17 * New added: `TR_tweet_id` Turkish gov, president and news media tweets * Attention: During 0611-0617 `@BrazilGovNews` tweeted 0 message * Attention: During 0611-0617 `@Itamaraty_EN` tweeted 0 message * Attention: During 0611-0617 `@French_Gov` tweeted 0 message ##V1.10: update data from Jun 4 to Jun 10 * Attention: During 0604-0610 `@BrazilGovNews` tweeted 0 message * Attention: During 0604-0610 `@Itamaraty_EN` tweeted 0 message * Attention: During 0604-0610 `@French_Gov` tweeted 0 message ##V1.09: update data from May 28 to Jun 3 * Attention: During 0528-0603 `@BrazilGovNews` tweeted 0 message ##V1.08: update data from May 21 to May 27 * Attention: During 0521-0527 `@BrazilGovNews` tweeted 0 message ##V1.07: update data from May 14 to May 20 * Attention: During 0514-0520 `@BrazilGovNews` tweeted 0 message ##V1.06: update data from May 7 to May 13. * Attention: During 0507-0513 `@BrazilGovNews` tweeted 0 message * Attention: During 0507-0513 `@French_Gov` tweeted 0 message ##V1.05: update data from April 30 to May 6. * Attention: During 0430-0506 `@BrazilGovNews` tweet 0 message ##V1.04: update data from April 23 to April 29. * Attention: During 0423-0429 `@BrazilGovNews` tweeted 0 message * Attention: During 0423-0429 `@French_Gov` tweeted 0 message ##V1.03: update data from April 16 to April 22. * New added: `BR_tweets` Brazilian government, president, news media * Attention: During 0416-0422 `@French_Gov` tweeted 0 message * Attention: During 0416-0422 `@BorisJohnson` tweeted 0 message ##V1.02: update data from April 9 to April 15. * New added: `EU_leadership` (`@BorisJohnson`, `@EmmanuelMacron`, `@GiuseppeconteIT`, `@sanchezcastejon`)
* New added: `election_us` (`@BernieSanders`, `@JoeBiden`, `@realDonaldTrump`, `@POTUS`)
* New added: `national_gov_foreign_office` (you can see this as a huge update to the previous gov file, which include 14 European/US/Chinese government/foreign office accounts)
* Minor changes: `@globaltimesnews` moved from `ADDITIONAL_news_tweet_id` to `CHINA_news_tweet_id`.
* Minor changes: `@spiegelonline` stop tweeting at 20200108, it was removed from my collection query, tweet_id were saved on V1.0. ##V1.01: update data from April 2 to April 8. ##First online: April 2, 2020 ---------- IMPORTANT: ---------- Data crawled by twitter account user name (same as txt file name), some of the accounts may lost maintaince for long time (for example @SanidadPublicaEs, stop tweeting at 2014, but activate this account again when COVID-19 became global crisis). I did NOT remove the historical data before coronavirus outbreak. Any questions please contact with me (see email below). -------------- How to Hydrate -------------- Two recommendations: by Hydrator https://github.com/DocNow/hydrator or twarc https://github.com/DocNow/twarc Please follow the instructions ------------- Papers that have mentioned/used this dataset ------------- * 吉田光男. (2020). COVID-19 流行下におけるソーシャルメティア—日本ての状況と研究動向公開テータセット—. 人工知能, 35(5), ***4-653. * Liang, S., Wong, D. F., & Zhang, Y. (2020, October). 新型冠状病毒肺炎相关的推特主题与情感研究 (Exploring COVID-19-related Twitter Topic Dynamics across Countries). In Proceedings of the 19th Chinese National Conference on Computational Linguistics (pp. 707-718). * Shuja, J., Alanazi, E., Alasmary, W., & Alashaikh, A. (2020). Covid-19 open source data sets: A comprehensive survey. medRxiv. * Yu, J., Lu, Y., & Munoz-Justicia, J. (2020). Analyzing Spanish News Frames on Twitter during COVID-19—A Network Study of El Pais and El Mundo. International Journal of Environmental Research and Public Health, 17(15), 5414. ---------- Contact me ---------- Jingyuan Yu narcisoyu[at]gmail[dot]com ------- License ------- Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

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