24 Hours of #DHDiversity

BackgroundThe Digital Humanities 2016 conference is taking/took place in Kraków, Poland, between Sunday 11 July and Saturday 16 July 2016. #DH2016 is/was the conference official hashtag.On Wednesday 13 July 2016  from 11:30am to 1:00pm local time
the panel titled “Quality Matters: Diversity and the Digital Humanities
in 2016” was chaired by Amy Earhart and included presentations by Alex
Gil, Roopika Risam, Barbara Bordalejo, Isabel Galina, Lorna Hughes, and
Melissa Terras.
After the lunch break second Diversity
panel, titled “Boundary Land: Diversity as a defining feature of the
Digital Humanities”, took place from 2:30 to 4:00 pm. It was chaired by
Isabel Galina RussellBarbara Bordalejo, Padmini Murray Ray, Gimena del
Rio and Elena González-Blanco.
These sessions were discussed on Twitter with the additional #dhdiversity hashtag (case not sensitive).What This Output IsThis is a CSV file containing a total of 1151 Tweets publicly published with the hashtag #DHDiversity.The archive starts with a Tweet published on Wednesday July 13 2016 at 07:41:01 +0000 and finishes with a Tweet published on Thursday 14 July 2016 at 14 08:10:10 +0000.   Methodology and LimitationsThe Tweets contained in this file were collected by Ernesto Priego using Martin Hawksey's TAGS 6.0. Only users with at least 1 follower were included in the archive. Retweets have been included (Retweets count as Tweets). The collection spreadsheet was customised to reflect the time zone and geographical location of the conference.The profile_image_url and entities_str metadata were removed before public sharing in this archive.Please bear in mind that the conference hashtag has been spammed so some Tweets colllected may be from spam accounts. Some automated refining has been performed to remove Tweets not related to the conference but the data is likely to require further refining and deduplication. Both research and experience show that the Twitter search API is not 100% reliable. Large Tweet volumes affect the search collection process. The API might "over-represent the more central users", not offering "an accurate picture of peripheral activity" (Gonzalez-Bailon, Sandra, et al. 2012).Apart from the filters and limitations already declared, it cannot be guaranteed that this file contains each and every Tweet tagged with #DHDiversity during the indicated period, and the dataset is shared for archival, comparative and indicative educational research purposes only.Only content from public accounts is included and was obtained from the Twitter Search API. The shared data is also publicly available to all Twitter users via the Twitter Search API and available to anyone with an Internet connection via the Twitter and Twitter Search web client and mobile apps without the need of a Twitter account.Each Tweet and its contents were published openly on the Web with the queried hashtag and are responsibility of the original authors.No private personal information is shared in this dataset. The collection and sharing of this dataset is enabled and allowed by Twitter's Privacy Policy. The sharing of this dataset complies with Twitter's Developer Rules of the Road.This dataset is shared to archive, document and encourage open educational research into scholarly activity on Twitter.Other ConsiderationsTweets published publicly by scholars during academic conferences are often tagged (labeled) with a hashtag dedicated to the conference in question.The purpose and function of hashtags is to organise and describe information/outputs under the relevant label in order to enhance the discoverability of the labeled information/outputs (Tweets in this case).A hashtag is metadata users choose freely to use so their content is associated, directly linked to and categorised with the chosen hashtag.Though every reason for Tweeters' use of hashtags cannot be generalised nor predicted, it can be argued that scholarly Twitter users form specialised, self-selecting public professional networks that tend to observe scholarly practices and accepted modes of social and professional behaviour.In general terms it can be argued that scholarly Twitter users willingly and consciously tag their public Tweets with a conference hashtag as a means to network and to promote, report from, reflect on, comment on and generally contribute publicly to the scholarly conversation around conferences. As Twitter users, conference Twitter hashtag contributors have agreed to Twitter's Privacy and data sharing policies.  Professional associations like the Modern Language Association recognise Tweets as citeable scholarly outputs. Archiving scholarly Tweets is a means to preserve this form of rapid online scholarship that otherwise can very likely become unretrievable as time passes; Twitter's search API has well-known temporal limitations for retrospective historical search and collection.Beyond individual tweets as scholarly outputs, the collective scholarly activity on Twitter around a conference or academic project or event can provide interesting insights for the contemporary history of scholarly communications. To date, collecting in real time is the only relatively accurate method to archive tweets at a small scale.Though these datasets have limitations and are not thoroughly systematic, it is hoped they can contribute to developing new insights into the discipline's presence on Twitter over time.The CC-BY license has been applied to the output in the repository as a curated dataset. Authorial/curatorial/collection work has been
performed on the file in order to
make it available as part of the scholarly record. The data contained in the deposited file is otherwise freely available elsewhere through different methods and anyone not wishing to attribute the data to the creator of this output is needless to say free to do their own collection and clean their own data.

背景：2016年数字人文学会议于2016年7月11日至7月16日在波兰克拉科夫举行。#DH2016是该会议的官方标签。2016年7月13日星期三上午11:30至下午1:00，由Amy Earhart主持的圆桌讨论“质量至上：2016年数字人文中的多样性与包容性”举行，Alex Gil、Roopika Risam、Barbara Bordalejo、Isabel Galina、Lorna Hughes和Melissa Terras等人均进行了演讲。午餐休息后，第二个关于多样性的圆桌讨论“边界之地：多样性与数字人文的界定特征”于下午2:30至4:00举行，由Isabel Galina Russell、Barbara Bordalejo、Padmini Murray Ray、Gimena del Rio和Elena González-Blanco主持。这些会议在Twitter上通过附加的#dhdiversity标签（不区分大小写）进行了讨论。本CSV文件包含总计1151条带有#DHDiversity标签的公开推文，这些推文从2016年7月13日星期三07:41:01 +0000发布的推文开始，至2016年7月14日星期四14:08:10 +0000结束。方法论与局限性：该文件中的推文由Ernesto Priego使用Martin Hawksey的TAGS 6.0收集。仅包括至少有1个追随者的用户。转推也被包含在内（转推计为推文）。收集的电子表格已根据会议的时区和地理位置进行了定制。在公开分享此存档之前，已移除了profile_image_url和entities_str元数据。请注意，由于会议标签被垃圾邮件滥用，因此收集的某些推文可能来自垃圾邮件账户。已对推文进行了自动筛选，以去除与会议无关的推文，但数据可能需要进一步的筛选和去重。研究和经验表明，Twitter搜索API并非100%可靠。大量推文会影响搜索收集过程。API可能会“过度代表核心用户”，而未能“准确反映边缘活动”（Gonzalez-Bailon, Sandra, 等人，2012年）。除了已声明的过滤器和局限性之外，无法保证该文件包含在指定期间标记有#DHDiversity的每个推文，且本数据集仅供存档、比较和指示性教育研究目的使用。仅包含公开账户的内容，并从Twitter搜索API获得。共享的数据也通过Twitter搜索API对所有Twitter用户公开，并且任何拥有互联网连接的人都可以通过Twitter和Twitter搜索网络客户端和移动应用获取，而无需Twitter账户。每个推文及其内容均在网络上公开发布，带有查询的标签，并归原作者所有。本数据集中不共享任何私人个人信息。本数据集的收集和共享符合Twitter的隐私政策。本数据集的共享符合Twitter的开发者道路规则。本数据集的共享旨在存档、记录并鼓励对Twitter上学术活动的开放教育研究。其他注意事项：在学术会议上公开发表的学者推文通常带有针对该会议的专用标签。标签的目的和功能是为了在相关标签下组织、描述信息/输出，以增强标记信息/输出的可发现性（在此情况下为推文）。标签是用户自由选择的元数据，以便其内容与所选标签关联、直接链接和分类。尽管不能将推文者使用标签的原因进行一般化或预测，但可以认为，学术Twitter用户形成了专业、自我选择的公开专业网络，他们倾向于遵循学术实践和公认的社会和专业行为模式。一般而言，可以认为，学术Twitter用户自愿并自觉地使用会议标签来标记他们的公开推文，作为一种建立网络、推广、报道、反思、评论并一般性地对会议周围的学术对话公开做出贡献的手段。作为Twitter用户，会议Twitter标签的贡献者已同意Twitter的隐私和数据共享政策。专业协会，如现代语言协会，承认推文为可引用的学术成果。存档学术推文是保存这种可能随时间流逝而无法检索的快速在线学术形式的一种手段；Twitter的搜索API在历史搜索和收集方面存在已知的临时限制。除个人推文作为学术成果外，围绕会议、学术项目或活动的Twitter上的集体学术活动可以为学术交流的当代历史提供有趣的见解。迄今为止，实时收集是存档小规模推文的唯一相对准确的方法。尽管这些数据集存在局限性且不够系统化，但仍希望它们有助于随着时间的推移发展对学科在Twitter上存在的新的见解。存档中的输出已应用CC-BY许可作为精选数据集。已对文件进行了作者/策展/收集工作，以便使其成为学术记录的一部分。存档文件中的数据在其他方法中也可自由获取，任何不愿将数据归因于本输出创作者的人，当然可以自行收集和清理自己的数据。