Social tagging systems have established themselves as an important part in
day's web and have attracted the interest from our research community in a
riety of investigations. The overall vision of our community is that simply
rough interactions with the system, i.e., through tagging and sharing of
sources, users would contribute to building useful semantic structures as
ll as resource indexes using uncontrolled vocabulary not only due to the
sy-to-use mechanics. Henceforth, a variety of assumptions about social
gging systems have emerged, yet testing them has been difficult due to the
sence of suitable data. In this work we thoroughly investigate three
ailable assumptions - e.g., is a tagging system really social? - by examining
ve log data gathered from the real-world public social tagging system
bSonomy. Our empirical results indicate that while some of these assumptions
ld to a certain extent, other assumptions need to be reflected and viewed in
very critical light. Our observations have implications for the design of
ture search and other algorithms to better reflect the actual user behavior.

@misc{doerfel2014course, author = {Doerfel, Stephan and Zoller, Daniel and Singer, Philipp and Niebler, Thomas and Hotho, Andreas and Strohmaier, Markus}, title = {Of course we share! Testing Assumptions about Social Tagging Systems}, year = {2014}, note = {cite arxiv:1401.0629}, url = {http://arxiv.org/abs/1401.0629}, keywords = {2014, myown, share, social, tagging}, abstract = {Social tagging systems have established themselves as an important part intoday's web and have attracted the interest from our research community in avariety of investigations. The overall vision of our community is that simplythrough interactions with the system, i.e., through tagging and sharing ofresources, users would contribute to building useful semantic structures aswell as resource indexes using uncontrolled vocabulary not only due to theeasy-to-use mechanics. Henceforth, a variety of assumptions about socialtagging systems have emerged, yet testing them has been difficult due to theabsence of suitable data. In this work we thoroughly investigate threeavailable assumptions - e.g., is a tagging system really social? - by examininglive log data gathered from the real-world public social tagging systemBibSonomy. Our empirical results indicate that while some of these assumptionshold to a certain extent, other assumptions need to be reflected and viewed ina very critical light. Our observations have implications for the design offuture search and other algorithms to better reflect the actual user behavior.} }

%0 = misc %A = Doerfel, Stephan and Zoller, Daniel and Singer, Philipp and Niebler, Thomas and Hotho, Andreas and Strohmaier, Markus %B = } %C = %D = 2014 %I = %T = Of course we share! Testing Assumptions about Social Tagging Systems} %U = http://arxiv.org/abs/1401.0629