five

WITBragDay Tweet Ids

收藏
DataONE2017-08-18 更新2024-06-26 收录
下载链接:
https://search.dataone.org/view/sha256:e3854641956b0b58104a5bfc28621a030ed7eb263d823e7f2d4eb4de19a0b6d6
下载链接
链接失效反馈
官方服务:
资源简介:
This dataset contains the tweet ids of 52,457 tweets related to the #WITBragDay hashtag. They were collected between August 12 and August 18, 2017 from the Twitter APIs using Social Feed Manager. These tweets were collected using the POST statuses/filter method of the Twitter Stream API and the GET statuses/search Twitter REST API. There is a README.txt file containing additional documentation on how it was collected. For all collecting, the query was on the term WITBragDay (without the hashtag symbol). The GET statuses/lookup method supports retrieving the complete tweet for a tweet id (known as hydrating). Tools such as Twarc or Hydrator can be used to hydrate tweets. When hydrating be aware that: Twitter limits hydration to 900 requests of 100 tweet ids per 15 minute window per set of user credentials. The Twitter API will not return tweets that have been deleted or belong to accounts that have been suspended, deleted, or made private. You should expect a large number of these tweets to be unavailable. For tweets collected from the Twitter filter stream, this is not a complete set of tweets that match the filter. Gaps may exist because: Twitter limits the number of tweets returned by the filter at any point in time. Social Feed Manager stops and starts the Twitter filter stream every 30 minutes. In Social Feed Manager, collecting is turned off while a user is making changes to the collection criteria. There were some operational issues, e.g., network interruptions, during the collection period. Per Twitter’s Developer Policy, tweet ids may be publicly shared; tweets may not. Questions about this dataset can be sent to sfm@gwu.edu. George Washington University researchers should contact us for access to the tweets.
创建时间:
2023-11-22
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作