{"id":2056,"date":"2013-03-04T10:14:00","date_gmt":"2013-03-04T00:14:00","guid":{"rendered":"http:\/\/mappingonlinepublics.net\/?p=2056"},"modified":"2013-03-02T12:19:13","modified_gmt":"2013-03-02T02:19:13","slug":"twitter-research-new-articles-on-politics-methods-metrics","status":"publish","type":"post","link":"https:\/\/mappingonlinepublics.net\/dev\/2013\/03\/04\/twitter-research-new-articles-on-politics-methods-metrics\/","title":{"rendered":"Twitter Research: New Articles on Politics, Methods, Metrics"},"content":{"rendered":"

In addition to Jean\u2019s mainstream media appearances during February<\/a>, we also have a few more recent publications which we haven\u2019t had a chance to feature here on the site. So, here\u2019s a quick round-up of the latest research from the Mapping Online Publics team and our various collaborators:<\/p>\n

Working with our good friend Cornelius Puschmann<\/a> at the Alexander-von-Humboldt-Institut for Internet and Society (HIIG) in Berlin, Jean has co-authored a discussion paper on the politics of Twitter<\/em> data, which is now available in the HIIG Discussion Paper Series. The paper examines Twitter<\/em> through the lens of \u201cplatform politics\u201d and focusses especially on controversies around user data access, ownership, and control. In particular, it explores the roles and interests of the different actors in the Twitter<\/em> data ecosystem (private and institutional end users of Twitter, commercial data resellers such as Gnip and DataSift, data scientists, and Twitter, Inc. itself).<\/p>\n

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Cornelius Puschmann and Jean Burgess. \u201cThe Politics of Twitter Data.<\/a>\u201d HIIG Discussion Paper Series<\/em> 2013-01 (23 Jan. 2013).<\/p>\n<\/blockquote>\n

And another co-authored paper from our collaboration with Stefan Stieglitz<\/a> at the University of M\u00fcnster has also been published now. Here, we seek to address the lack of standardised metrics for comparing communicative patterns across Twitter<\/em> datasets which has so far prevented researchers from developing a more comprehensive perspective on the diverse, sometimes crucial roles which hashtags play in Twitter<\/i>-based communication. We outline a catalogue of widely applicable, standardised metrics and point to potential uses for such metrics, presenting an indication of what broader comparisons of diverse cases can achieve. <\/p>\n

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Axel Bruns and Stefan Stieglitz. \u201cTowards More Systematic Twitter Analysis: Metrics for Tweeting Activities.<\/a>\u201d International Journal of Social Research Methodology<\/em><\/a> 22 Jan. 2013. DOI: 10.1080\/13645579.2012.756095.<\/p>\n<\/blockquote>\n

That article serves as a companion piece to another recent publication with Stefan, in the Journal of Technology in Human Services<\/em>, which uses such standard metrics to identify standard patterns of Twitter<\/em> user activity around televised and crisis events, respectively. By conducting a comparative study of more than 40 different cases (covering topics such as elections, natural disasters, corporate crises, and televised events) we identify a number of distinct types of discussion that can be observed on Twitter<\/em>. We show that thematic and contextual factors influence the usage of the different communicative tools available to Twitter<\/em> users, such as original tweets, @replies, retweets, and URLs. Based on this first analysis of the overall metrics of Twitter<\/em> discussions, we demonstrate stable patterns in the use of Twitter<\/em> in the context of major topics and events.<\/p>\n

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Axel Bruns and Stefan Stieglitz. \u201cQuantitative Approaches to Comparing Communication Patterns on Twitter.<\/a>\u201d Journal of Technology in Human Services<\/em><\/a> 30.3-4 (2012): 160-185. DOI: 10.1080\/15228835.2012.744249.<\/p>\n<\/blockquote>\n

Open access to this and some of the other articles in the same issue is currently available from the journal, by the way \u2013 so get in quick! While you\u2019re there, you might also want to check out yet another article from a member of the Mapping Online Publics team, Tim Highfield<\/a>: his piece outlines the use of topical network analysis to study online activity (and it\u2019s another of the open-access offerings at the moment). This complements the analysis of large data sets to enable the examination and comparison of different discussions in order to improve our understanding of the uses of social media.<\/p>\n

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Tim Highfield. \u201cTalking of Many Things: Using Topical Networks to Study Discussions in Social Media<\/a>.\u201d Journal of Technology in Human Services<\/em><\/a> 30.3-4 (2012): 204-218. DOI: 10.1080\/15228835.2012.746894.<\/p>\n<\/blockquote>\n","protected":false},"excerpt":{"rendered":"

In addition to Jean\u2019s mainstream media appearances during February, we also have a few more recent publications which we haven\u2019t had a chance to feature here on the site. So, here\u2019s a quick round-up of the latest research from the Mapping Online Publics team and our various collaborators: Working with our good friend Cornelius Puschmann … <\/p>\n

Continue reading “Twitter Research: New Articles on Politics, Methods, Metrics”<\/span><\/a><\/p>\n

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