Reality check for the Chinese microblog space: a random sampling approach
Chinese microblogs have drawn global attention to this online application's potential impact on the country's social and political environment. However, representative and reliable statistics on Chinese microbloggers are limited. Using a random sampling approach, this study collected Chine...
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| Veröffentlicht in: | PloS one 2013-03, Vol.8 (3), p.e58356-e58356 |
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| description | Chinese microblogs have drawn global attention to this online application's potential impact on the country's social and political environment. However, representative and reliable statistics on Chinese microbloggers are limited. Using a random sampling approach, this study collected Chinese microblog data from the service provider, analyzing the profile and the pattern of usage for 29,998 microblog accounts. From our analysis, 57.4% (95% CI 56.9%,58.0%) of the accounts' timelines were empty. Among the 12,774 non-zero statuses samples, 86.9% (95% CI 86.2%,87.4%) did not make original post in a 7-day study period. By contrast, 0.51% (95% CI 0.4%,0.65%) wrote twenty or more original posts and 0.45% (95% CI 0.35%,0.60%) reposted more than 40 unique messages within the 7-day period. A small group of microbloggers created a majority of contents and drew other users' attention. About 4.8% (95% CI 4.4%,5.2%) of the 12,774 users contributed more than 80% (95% CI,78.6%,80.3%) of the original posts and about 4.8% (95% CI 4.5%,5.2%) managed to create posts that were reposted or received comments at least once. Moreover, a regression analysis revealed that volume of followers is a key determinant of creating original microblog posts, reposting messages, being reposted, and receiving comments. Volume of friends is found to be linked only with the number of reposts. Gender differences and regional disparities in using microblogs in China are also observed. |
| doi_str_mv | 10.1371/journal.pone.0058356 |
| format | Article |
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However, representative and reliable statistics on Chinese microbloggers are limited. Using a random sampling approach, this study collected Chinese microblog data from the service provider, analyzing the profile and the pattern of usage for 29,998 microblog accounts. From our analysis, 57.4% (95% CI 56.9%,58.0%) of the accounts' timelines were empty. Among the 12,774 non-zero statuses samples, 86.9% (95% CI 86.2%,87.4%) did not make original post in a 7-day study period. By contrast, 0.51% (95% CI 0.4%,0.65%) wrote twenty or more original posts and 0.45% (95% CI 0.35%,0.60%) reposted more than 40 unique messages within the 7-day period. A small group of microbloggers created a majority of contents and drew other users' attention. About 4.8% (95% CI 4.4%,5.2%) of the 12,774 users contributed more than 80% (95% CI,78.6%,80.3%) of the original posts and about 4.8% (95% CI 4.5%,5.2%) managed to create posts that were reposted or received comments at least once. Moreover, a regression analysis revealed that volume of followers is a key determinant of creating original microblog posts, reposting messages, being reposted, and receiving comments. Volume of friends is found to be linked only with the number of reposts. Gender differences and regional disparities in using microblogs in China are also observed.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0058356</identifier><identifier>PMID: 23520502</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Artificial intelligence ; Asian Continental Ancestry Group ; Blogging ; Censorship ; China ; Computer Science ; Data processing ; Environmental statistics ; Female ; Gender aspects ; Growth rate ; Humans ; International conferences ; Internet ; Knowledge discovery ; Male ; Mathematics ; Messages ; Microblogs ; Random sampling ; Regression analysis ; Sampling ; Sex differences ; Social and Behavioral Sciences ; Social Behavior ; Social Media ; Social networks ; Social research ; Social sciences ; Statistical analysis ; Statistical methods ; Studies ; User generated content</subject><ispartof>PloS one, 2013-03, Vol.8 (3), p.e58356-e58356</ispartof><rights>COPYRIGHT 2013 Public Library of Science</rights><rights>2013 Fu, Chau. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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However, representative and reliable statistics on Chinese microbloggers are limited. Using a random sampling approach, this study collected Chinese microblog data from the service provider, analyzing the profile and the pattern of usage for 29,998 microblog accounts. From our analysis, 57.4% (95% CI 56.9%,58.0%) of the accounts' timelines were empty. Among the 12,774 non-zero statuses samples, 86.9% (95% CI 86.2%,87.4%) did not make original post in a 7-day study period. By contrast, 0.51% (95% CI 0.4%,0.65%) wrote twenty or more original posts and 0.45% (95% CI 0.35%,0.60%) reposted more than 40 unique messages within the 7-day period. A small group of microbloggers created a majority of contents and drew other users' attention. About 4.8% (95% CI 4.4%,5.2%) of the 12,774 users contributed more than 80% (95% CI,78.6%,80.3%) of the original posts and about 4.8% (95% CI 4.5%,5.2%) managed to create posts that were reposted or received comments at least once. 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Gender differences and regional disparities in using microblogs in China are also observed.</description><subject>Artificial intelligence</subject><subject>Asian Continental Ancestry Group</subject><subject>Blogging</subject><subject>Censorship</subject><subject>China</subject><subject>Computer Science</subject><subject>Data processing</subject><subject>Environmental statistics</subject><subject>Female</subject><subject>Gender aspects</subject><subject>Growth rate</subject><subject>Humans</subject><subject>International conferences</subject><subject>Internet</subject><subject>Knowledge discovery</subject><subject>Male</subject><subject>Mathematics</subject><subject>Messages</subject><subject>Microblogs</subject><subject>Random sampling</subject><subject>Regression analysis</subject><subject>Sampling</subject><subject>Sex differences</subject><subject>Social and Behavioral Sciences</subject><subject>Social Behavior</subject><subject>Social Media</subject><subject>Social 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environment. However, representative and reliable statistics on Chinese microbloggers are limited. Using a random sampling approach, this study collected Chinese microblog data from the service provider, analyzing the profile and the pattern of usage for 29,998 microblog accounts. From our analysis, 57.4% (95% CI 56.9%,58.0%) of the accounts' timelines were empty. Among the 12,774 non-zero statuses samples, 86.9% (95% CI 86.2%,87.4%) did not make original post in a 7-day study period. By contrast, 0.51% (95% CI 0.4%,0.65%) wrote twenty or more original posts and 0.45% (95% CI 0.35%,0.60%) reposted more than 40 unique messages within the 7-day period. A small group of microbloggers created a majority of contents and drew other users' attention. About 4.8% (95% CI 4.4%,5.2%) of the 12,774 users contributed more than 80% (95% CI,78.6%,80.3%) of the original posts and about 4.8% (95% CI 4.5%,5.2%) managed to create posts that were reposted or received comments at least once. Moreover, a regression analysis revealed that volume of followers is a key determinant of creating original microblog posts, reposting messages, being reposted, and receiving comments. Volume of friends is found to be linked only with the number of reposts. Gender differences and regional disparities in using microblogs in China are also observed.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>23520502</pmid><doi>10.1371/journal.pone.0058356</doi><tpages>e58356</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Artificial intelligence Asian Continental Ancestry Group Blogging Censorship China Computer Science Data processing Environmental statistics Female Gender aspects Growth rate Humans International conferences Internet Knowledge discovery Male Mathematics Messages Microblogs Random sampling Regression analysis Sampling Sex differences Social and Behavioral Sciences Social Behavior Social Media Social networks Social research Social sciences Statistical analysis Statistical methods Studies User generated content |
| title | Reality check for the Chinese microblog space: a random sampling approach |
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