Metricating #respbib18 and #ResponsibleMetrics: A Comparison

Summaries of Twitter numerical data captured from archiving #respbib18 (Responsible use of Bibliometrics in Practice, London, 31 January 2018) and #ResponsibleMetrics (The turning tide: A new culture of responsible metrics for research, London, 8 February 2018).<br><br>No sensitive, personal nor personally-identifiable data is contained
in this dataset. Usernames and names of individuals were removed from
text analysis results. <br><br>Text analysis performed with Voyant Tools. <br><br>Categories included:<br><br>

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Event title

Date

Times

URL

Sheet ID

Hashtag

Number of links

Number
of RTs

Number
of Tweets

Number of Unique
tweets

First
Tweet in Archive

Last
Tweet in Archive

Number of In
Reply Ids

Number of In
Reply @s

Number of Usernames<br>Number of Unique Usernames who used tag only once<br>30 Most Frequent Terms in each archive<br>Raw Frequencies<br>Relative Frequencies<br>Distributions <br><br>Stop words were applied, including usernames. <br><br><br>