Research data for paper: Racist way of victim blaming in the aftermath of the Grenfell Tower fire

This dataset for a forthcoming publication involves racist tweets against Grenfell Tower fire victims. We aimed to understand how tweeters used racist language to delegitimise the victims and their supporters.<br>Data was collected in January 2021, using the Advanced Search option within Twitter and by downloading tweets using tweepy.org, developer.twitter.com, and kaggle.com. The data was processed using Pandas Package (pandas.pydata.org).<br><br>The dataset consists of four files of tweet ID numbers of racist Twitter posts against Grenfell Tower victims, survivors and bereaved families. In total we collected 26,653 tweets that involved #Grenfell #GrenfellTower #GrenfellTowerfire hashtags in four different time periods (see below for more information), and separated the ones that used hostile and racist language against Grenfell Tower fire victims and bereaved families. Tweets were also analysed which were in themselves not using racist language, but where replies included racist language.This dataset represents 267 of the 416 tweets that were analysed, in the following documents:<br><br>1. ‘2017_Tweets_Grenfelll Public Inquiry began’ represents data that were collected between September 7 and 21 in 2017. This centred on the formal opening of the Grenfell Tower Inquiry on 14th September 2017. We collected 93 racist tweets out of 6,348 Grenfell Tower fire-related tweets from this period. <br><br>2. ‘2018_Tweets_Petition’ represents tweets from the second data collection time period that was during the time of the petition that Grenfell supporters created to demand a debate in Parliament to include survivors and bereaved families in the inquiry process. The petition began on 14th May 2018 and it ended on 30th May 2018. We collected 112 racist tweets out of 7,578 Grenfell Tower fire-related tweets between those dates. <br><br>3. 2019_Tweets_Inquiry Report’ has tweets that were collected between 23rd October and 7th November in 2019. This included the date of the first inquiry report on 30th October. We collected 47 racist tweets out of 11,718 Grenfell Tower fire-related tweets during this period.<br><br>4. ‘2020_Tweets_COVID cancelled SW’ involves the last data collection time period that happened between 7th and 31st March 2020. This included the first Silent Walk that was cancelled because of the COVID-19 outbreak. We collected 33 (13 tweets with hashtags) racist tweets out of 1,010 Grenfell Tower fire-related tweets.<br>The Readme file includes further details.<br>The files include TweetIDs as captured in January 2021. These can be rehydrated using resources such as Twarc (https://github.com/DocNow/twarc) or Hydrator (https://github.com/DocNow/hydrator) in order to retrieve the Tweets as they currently appear on Twitter. Tweets which have been deleted since data capture will not be retrieved.<br>

本数据集用于即将发表的学术出版物，涉及针对格伦费尔塔火灾受害者的种族主义推文。我们旨在探究推特用户如何利用种族主义语言使受害者及其支持者失去合法性。<br>数据收集于2021年1月，通过Twitter内置的高级搜索功能，以及借助tweepy.org、developer.twitter.com和kaggle.com平台下载推文获取。数据处理采用Pandas Package（pandas.pydata.org）完成。<br><br>该数据集包含四个文件，记录了针对格伦费尔塔受害者、幸存者及遇难者家属的种族主义推文ID号。我们共收集到26,653条含#Grenfell、#GrenfellTower、#GrenfellTowerfire标签的推文（分四个时间段，详见下文），并从中筛选出使用敌意与种族主义语言的内容。本数据集涵盖所分析416条推文中的267条，对应以下文件：<br><br>1. 《2017_Tweets_Grenfelll Public Inquiry began》对应2017年9月7日至21日期间收集的数据，聚焦2017年9月14日格伦费尔塔调查正式启动事件。该时段共收集6,348条格伦费尔塔火灾相关推文，其中种族主义推文93条。<br><br>2. 《2018_Tweets_Petition》对应2018年5月14日至30日期间的推文，此阶段格伦费尔支持者发起请愿，要求议会辩论将幸存者及遇难者家属纳入调查流程。该时段共收集7,578条相关推文，其中种族主义推文112条。<br><br>3. 《2019_Tweets_Inquiry Report》对应2019年10月23日至11月7日期间的推文，包含10月30日首次调查报告发布日。该时段共收集11,718条相关推文，其中种族主义推文47条。<br><br>4. 《2020_Tweets_COVID cancelled SW》对应2020年3月7日至31日期间的最后一次数据收集，涉及因COVID-19疫情取消的首次静默行走事件。该时段共收集1,010条相关推文，其中种族主义推文33条（含13条带标签的推文）。<br>Readme文件包含更多细节。<br>文件中的推文ID为2021年1月捕获的数据，可通过Twarc（https://github.com/DocNow/twarc）或Hydrator（https://github.com/DocNow/hydrator）等工具进行重新获取（rehydrated），以检索当前Twitter上显示的推文。自数据捕获后已删除的推文无法被检索。<br>