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	<id>https://coptr.digipres.org/api.php?action=feedcontributions&amp;feedformat=atom&amp;user=Kerchner</id>
	<title>COPTR - User contributions [en-gb]</title>
	<link rel="self" type="application/atom+xml" href="https://coptr.digipres.org/api.php?action=feedcontributions&amp;feedformat=atom&amp;user=Kerchner"/>
	<link rel="alternate" type="text/html" href="https://coptr.digipres.org/Special:Contributions/Kerchner"/>
	<updated>2026-05-30T15:42:10Z</updated>
	<subtitle>User contributions</subtitle>
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	<entry>
		<id>https://coptr.digipres.org/index.php?title=TweetSets&amp;diff=5524</id>
		<title>TweetSets</title>
		<link rel="alternate" type="text/html" href="https://coptr.digipres.org/index.php?title=TweetSets&amp;diff=5524"/>
		<updated>2021-12-09T16:01:33Z</updated>

		<summary type="html">&lt;p&gt;Kerchner: Created page with &amp;quot;{{Infobox tool |purpose=TweetSets provides a web interface that allows users to (1) select from existing datasets; (2) limit the dataset by querying on keywords, hashtags, and...&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{Infobox tool&lt;br /&gt;
|purpose=TweetSets provides a web interface that allows users to (1) select from existing datasets; (2) limit the dataset by querying on keywords, hashtags, and other parameters; (3) generate and download dataset derivatives such as the list of tweet ids and mention nodes/edges.&lt;br /&gt;
|homepage=https://github.com/gwu-libraries/TweetSets&lt;br /&gt;
|sourcecode=https://github.com/gwu-libraries/TweetSets&lt;br /&gt;
|license=MIT&lt;br /&gt;
|cost=0&lt;br /&gt;
|platforms=Linux (tested with Ubuntu 18+)&lt;br /&gt;
|language=Python&lt;br /&gt;
|formats_in=WARC, JSON&lt;br /&gt;
|formats_out=JSON, CSV (Comma Separated Values)&lt;br /&gt;
|function=Access&lt;br /&gt;
|content=Social Media&lt;br /&gt;
}}&lt;br /&gt;
{{Infobox tool details}}&lt;br /&gt;
== Description ==&lt;br /&gt;
TweetSets provides a web interface that allows users to (1) select from existing datasets; (2) limit the dataset by querying on keywords, hashtags, and other parameters; (3) generate and download dataset derivatives such as the list of tweet ids and mention nodes/edges.  Datasets must be loaded by administrators; the current workflow is to capture the data sets in Social Feed Manager and load selected datasets of interest into TweetSets.&lt;br /&gt;
&lt;br /&gt;
== User Experiences ==&lt;br /&gt;
&amp;lt;!-- Add hotlinks to user experiences with the tool (eg. blog posts). These should illustrate the effectiveness (or otherwise) of the tool. Use a bullet list. --&amp;gt;&lt;/div&gt;</summary>
		<author><name>Kerchner</name></author>
	</entry>
	<entry>
		<id>https://coptr.digipres.org/index.php?title=SFM_(Social_Feed_Manager)&amp;diff=5516</id>
		<title>SFM (Social Feed Manager)</title>
		<link rel="alternate" type="text/html" href="https://coptr.digipres.org/index.php?title=SFM_(Social_Feed_Manager)&amp;diff=5516"/>
		<updated>2021-12-09T15:54:01Z</updated>

		<summary type="html">&lt;p&gt;Kerchner: Created page with &amp;quot;{{Infobox tool |purpose=Social Feed Manager is open source software that provides a web interface to enable users to harvest social media data and web resources from Twitter a...&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{Infobox tool&lt;br /&gt;
|purpose=Social Feed Manager is open source software that provides a web interface to enable users to harvest social media data and web resources from Twitter and other social media platforms.&lt;br /&gt;
|homepage=https://gwu-libraries.github.io/sfm-ui&lt;br /&gt;
|sourcecode=https://github.com/gwu-libraries/sfm-ui&lt;br /&gt;
|license=MIT&lt;br /&gt;
|cost=0&lt;br /&gt;
|platforms=Linux (tested with Ubuntu 18+)&lt;br /&gt;
|language=Python&lt;br /&gt;
|formats_out=CSV (Comma Separated Values), WARC, JSON, Excel&lt;br /&gt;
|function=Social Media Capture&lt;br /&gt;
|content=Social Media&lt;br /&gt;
}}&lt;br /&gt;
{{Infobox tool details}}&lt;br /&gt;
== Description ==&lt;br /&gt;
Social Feed Manager is open source software that provides a web interface to enable users to harvest social media data and web resources from Twitter, Tumblr, Flickr, and Sina Weibo.  Content is stored as WARCs, and users can extract harvested content as JSON, CSV, Excel, or a list of post identifiers.&lt;br /&gt;
&lt;br /&gt;
== User Experiences ==&lt;br /&gt;
&amp;lt;!-- Add hotlinks to user experiences with the tool (eg. blog posts). These should illustrate the effectiveness (or otherwise) of the tool. Use a bullet list. --&amp;gt;&lt;/div&gt;</summary>
		<author><name>Kerchner</name></author>
	</entry>
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