An #OxEngage Archive [07/03/2016 10:22:52 GMT to 17/03/2016 12:19:56 GMT]
'Engage: Understanding Impact via Social Media' was a one-day workshop offering tricks and tips for measuring and analyzing
impact via social media, participants will be taught some practical
skills, as well as having the opportunity for discussion and debate.
It was hosted at Oxford University IT Services on Wednesday 16 March 2016 from 10am to 4pm GMT. The official hashtag for the workshop was #OxEngage.
This is a .csv file containing 321 unique tweets publicly published with the hashtag #OxEngage during the indicated period.
The Tweets contained in this file were collected by Ernesto Priego using Martin Hawksey's TAGS 6.0.
Please note that the #OxEngage hashtag was used for other activities organised by the Oxford Engage Programme and therefore this archive includes tweets corresponding to other activities; for the tweets corresponding to the 'Understanding Impact via Social Media' proper please filter to tweets published on 16 March 2016.
Only users with at least 3 followers were included in the archive. Retweets have been included. Data might require refining and deduplication.
Please note that 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). It cannot be guaranteed this file contains each and every Tweet tagged with #OxEngage during the indicated period, and is shared for comparative and indicative educational research purposes only.
The data is shared as is. The sharing of this dataset complies with Twitter's Developer Rules of the Road.
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.
The profile_image_url and entities_str metadata were removed before public sharing.
Each Tweet and its contents were published openly on the Web with the queried hashtag and are responsibility of the original authors.
Tweets published publicly by scholars during academic conferences are often tagged (labeled) with a hashtag dedicated to the conference in question. The purpose of the hashtag is to organise and describe information under the relevant label. Those tagging their public tweets with a conference hashtag do so as a means to contribute to the scholarly conversation around conferences. Professional associations like the Modern Langauge 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 disappear as the time of the conference passes as Twitter's search API has known temporal limitations for retrospective historical search and collection. To date, collecting in real time is the only relatively accurate method to archive tweets at a small scale.
No sensitive information is contained in this dataset.
This dataset is shared to archive, document and encourage open educational research into scholarly activity on Twitter.
It was hosted at Oxford University IT Services on Wednesday 16 March 2016 from 10am to 4pm GMT. The official hashtag for the workshop was #OxEngage.
This is a .csv file containing 321 unique tweets publicly published with the hashtag #OxEngage during the indicated period.
The Tweets contained in this file were collected by Ernesto Priego using Martin Hawksey's TAGS 6.0.
Please note that the #OxEngage hashtag was used for other activities organised by the Oxford Engage Programme and therefore this archive includes tweets corresponding to other activities; for the tweets corresponding to the 'Understanding Impact via Social Media' proper please filter to tweets published on 16 March 2016.
Only users with at least 3 followers were included in the archive. Retweets have been included. Data might require refining and deduplication.
Please note that 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). It cannot be guaranteed this file contains each and every Tweet tagged with #OxEngage during the indicated period, and is shared for comparative and indicative educational research purposes only.
The data is shared as is. The sharing of this dataset complies with Twitter's Developer Rules of the Road.
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.
The profile_image_url and entities_str metadata were removed before public sharing.
Each Tweet and its contents were published openly on the Web with the queried hashtag and are responsibility of the original authors.
Tweets published publicly by scholars during academic conferences are often tagged (labeled) with a hashtag dedicated to the conference in question. The purpose of the hashtag is to organise and describe information under the relevant label. Those tagging their public tweets with a conference hashtag do so as a means to contribute to the scholarly conversation around conferences. Professional associations like the Modern Langauge 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 disappear as the time of the conference passes as Twitter's search API has known temporal limitations for retrospective historical search and collection. To date, collecting in real time is the only relatively accurate method to archive tweets at a small scale.
No sensitive information is contained in this dataset.
This dataset is shared to archive, document and encourage open educational research into scholarly activity on Twitter.
