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Conference Paper: Exploring official microblog accounts of Information Schools: a comparison on Twitter and Weibo
Title | Exploring official microblog accounts of Information Schools: a comparison on Twitter and Weibo |
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Authors | |
Issue Date | 2015 |
Citation | The 2015 CITE Research Symposium (CITERS 2015), The University of Hong Kong, Hong Kong, 29-30 May 2015. How to Cite? |
Abstract | Universities with their departments have opened official microblog accounts to 'brand' themselves and help improve communication and administration. This program is to discover and compare behavior patterns for official accounts operated by information schools from the US and China in two language dependent microblog platforms: Twitter vs. Weibo. Results of statistics and network analysis show that the accounts can be clustered into five groups with each featuring distinct behavior patterns indicated by four main factors. The comparison further uncovered the common and different operation practices of Twitter and Weibo accounts, with operation styles explained and good practices discussed. |
Persistent Identifier | http://hdl.handle.net/10722/213541 |
DC Field | Value | Language |
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dc.contributor.author | Qiao, C | - |
dc.contributor.author | Lu, Y | - |
dc.contributor.author | Hu, X | - |
dc.date.accessioned | 2015-08-05T03:42:08Z | - |
dc.date.available | 2015-08-05T03:42:08Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | The 2015 CITE Research Symposium (CITERS 2015), The University of Hong Kong, Hong Kong, 29-30 May 2015. | - |
dc.identifier.uri | http://hdl.handle.net/10722/213541 | - |
dc.description.abstract | Universities with their departments have opened official microblog accounts to 'brand' themselves and help improve communication and administration. This program is to discover and compare behavior patterns for official accounts operated by information schools from the US and China in two language dependent microblog platforms: Twitter vs. Weibo. Results of statistics and network analysis show that the accounts can be clustered into five groups with each featuring distinct behavior patterns indicated by four main factors. The comparison further uncovered the common and different operation practices of Twitter and Weibo accounts, with operation styles explained and good practices discussed. | - |
dc.language | eng | - |
dc.relation.ispartof | CITE Research Symposium, CITERS 2015 | - |
dc.title | Exploring official microblog accounts of Information Schools: a comparison on Twitter and Weibo | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Hu, X: xiaoxhu@hku.hk | - |
dc.identifier.authority | Hu, X=rp01711 | - |
dc.identifier.hkuros | 246092 | - |