Title :
Using single source data to better understand User-generated Content (UGC) behavior
Author :
Heng Lu ; Zhu, Jonathan J. H.
Author_Institution :
Dept. of Media & Commun., City Univ. of Hong Kong, Hong Kong, China
Abstract :
Single source refers to the unified measurement of different aspects of the same individual based on data from multiple sources. In the context of UGC, single source data can be used to study at least two important but as yet insufficiently investigated theoretical issues. First, single source data are ideal sources for studying inter-platform dynamics such as user migration across UGC platforms. Second, single source data can help to link individual self-reported cognitive factors with web crawled individual behavior logs, to achieve better understanding of individual behavior. In this paper, we select a random sample of Sina Blog users and collect their behavior information on both Sina Blog and Sina Weibo platforms; we also conduct an online survey to collect information about their cognitive factors. Merging all data together, we observe and quantify different behavior patterns of the same people across Blog and Weibo; we also identify alternative attractiveness and perceived popularity as significant drivers of one of the most important inter-platform dynamics - switching behavior.
Keywords :
behavioural sciences computing; cognition; information retrieval; social networking (online); Sina Blog users; Sina Weibo platforms; UGC platforms; Web crawled individual behavior logs; alternative attractiveness; cognitive factors; interplatform dynamics; interplatform dynamics-switching behavior; online survey; perceived popularity; self-reported cognitive factors; single source data; user-generated content behavior; Blogs; Conferences; Encyclopedias; Media; Social network services; Switches; UGC behavior; inter-platform dynamics; single source data; user motivations;
Conference_Titel :
Advances in Social Networks Analysis and Mining (ASONAM), 2014 IEEE/ACM International Conference on
Conference_Location :
Beijing
DOI :
10.1109/ASONAM.2014.6921676