An Archive of #APE2017 Tweets Published 16-18 January 2017 GMT

The Academic Publishing in Europe 12  (APE 2017) conference took place in Berlin, Germany, on 17 - 18 January 2017 with a Pre-Conference Day on 16 January 2017.  A hashtag used on Twitter to report and discuss from / about the conference was #APE2017.What This Output IsThis
is a CSV file containing a total
of 2,011 Tweets publicly published with the hashtag #APE2017 between Monday January 16 2017 at 00:48:59 +0000 and Wednesday January 18 2017 22:42:06 +0000. Please note the conference took place in Berlin (GMT +1); the local time of publishing appears under column E.  Methodology and LimitationsThe Tweets contained in this file were collected by Ernesto Priego using Martin Hawksey's TAGS 6.0. The original data collection gathered 2,133 Tweets including a period covering 10-19 January 2017. For the purpose of this particular dataset the original dataset was refined to include here only the conference period of 16-18 January and the data was re-ordered in chronological order.    Retweets
have been included (Retweets count as Tweets), so Tweet text duplication is normal. The collection
spreadsheet was customised to reflect the time zone and geographical
location of the conference and GMT (columns D and E).The profile_image_url and entities_str metadata were removed before public sharing in this archive. Though initial data refining was conducted please
bear in mind that the conference hashtag might have  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 #APE2017 during the indicated period, and the dataset is shared for
archival, comparative and indicative educational research purposes only. Other hashtag combinations might have been used for the conference as well. 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. Original Tweets are
likely to be copyright their individual authors but please check
individually. 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.

欧洲学术出版会议2017（APE 2017）于2017年1月17日至18日在德国柏林举行，并于1月16日举办预会议。在Twitter上用于报告和讨论该会议的标签为#APE2017。本CSV文件包含从2017年1月16日星期一00:48:59 +0000至1月18日星期三22:42:06 +0000期间，带有#APE2017标签的共计2011条公开发布的推文。请注意，会议在柏林（GMT +1）举行；发布的当地时间出现在E列。该方法论与局限性：包含在此文件中的推文由Ernesto Priego使用Martin Hawksey的TAGS 6.0收集。原始数据收集共获得2133条推文，时间跨度涵盖2017年1月10日至19日。出于本特定数据集的目的，原始数据集经过精炼，仅包括1月16日至18日的会议期间，并且数据按照时间顺序重新排序。转发也被包含在内（转发被视为推文），因此推文文本的重复是正常的。收集电子表格已定制以反映会议的时间和地理区域以及GMT（D列和E列）。在公开共享此存档之前，已删除profile_image_url和entities_str元数据。尽管进行了初步的数据精炼，但请注意，会议标签可能遭到垃圾邮件的滥用，因此收集到的某些推文可能来自垃圾邮件账户。已执行一些自动精炼，以删除与会议无关的推文，但数据可能需要进一步精炼和去重。研究表明，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“过度代表中心用户”，而无法“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，不能保证此文件包含指示期间带有#APE2017标签的每一条推文，此数据集仅用于存档、比较和指示性教育研究目的。可能还使用了其他标签组合来标记该会议。仅包含公共账户的内容，并通过Twitter搜索API获取。共享的数据也通过Twitter搜索API对所有Twitter用户公开，并且通过Twitter和Twitter搜索的网页客户端和移动应用程序向任何有互联网连接的人公开，无需Twitter账户。每条推文及其内容均公开发布在网络上，带有查询的标签，并由原始作者负责。原始推文可能归各自作者版权所有，但请个别检查。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由Twitter的隐私政策所允许。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：学者在学术会议期间公开发表的推文通常被标记（标注）为特定于该会议的标签。标签的目的和功能是在相关标签下组织并描述信息/输出，以增强标记信息/输出（在此情况下为推文）的可发现性。标签是用户自由选择的元数据，因此其内容与所选标签相关联、直接链接并分类。尽管无法将推文用户使用标签的原因进行概括或预测，但可以认为，学术Twitter用户形成了专门的自选公众专业网络，这些网络倾向于遵守学术实践和接受的社会和专业行为模式。一般来说，可以认为，学术Twitter用户自愿并自觉地用会议标签标记其公开推文，作为一种建立联系、推广、报道、反思、评论并公开贡献于会议周围学术对话的手段。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快速在线学术形式的方法，否则随着时间的推移，这种形式很可能变得无法检索；Twitter的搜索API在回顾性历史搜索和收集方面存在已知的时效性限制。除了作为个人推文的学术成果之外，围绕会议、学术项目或事件在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相对准确方法。尽管这些数据集存在局限性且不够系统，但希望它们可以有助于随着时间的推移，对学科在Twitter上的存在发展出新的见解。存档中的输出已应用CC-BY许可，作为经过精选的数据集。对文件进行了作者/策展/收集工作，以便将其作为学术记录的一部分提供。存放在文件中的数据在其他地方通过不同的方法也免费可用，任何不希望将数据归因于本输出创建者的人，当然可以自行收集和清洗自己的数据。