Imitation and Quality of Tags in Social Bookmarking Systems – Collective Intelligence Leading to Folksonomies

Floeck, Fabian; Putzke, Johannes; Steinfels, Sabrina; Fischbach, Kai; Schoder, Detlef

doi:10.1007/978-3-642-14481-3_7

Cited by 15 publications

(21 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Others focus on quantitative, empirical studies (e.g. Floeck et al 2011). Others predominantly conduct case studies with qualitative methods (e.g.…”

Section: Theoretical Reasoningmentioning

confidence: 98%

Co-authorship networks in electronic markets research

2011

Self Cite

View full text Add to dashboard Cite

This article examines co-authorship networks of researchers publishing in Electronic Markets-The International Journal of Networked Business (EM). The authors visualize the co-authorship network and provide descriptive statistics regarding the degree to which researchers are embedded in the co-authorship network. They develop and test seven hypotheses associating the researchers' embeddedness in the co-authorship network with the number of the researchers' citations. Results indicate that author who publish co-authored articles in EM have their EM articles (whether co-authored or not) cited more frequently than those who publish EM articles only in their own names, and that the more they co-author the more they are cited because they are located in the center of a co-authorship network.

show abstract

“…Others focus on quantitative, empirical studies (e.g. Floeck et al 2011). Others predominantly conduct case studies with qualitative methods (e.g.…”

Section: Theoretical Reasoningmentioning

confidence: 98%

Co-authorship networks in electronic markets research

2011

Self Cite

View full text Add to dashboard Cite

show abstract

“…The tags are displayed prominently on the website's UI which enhances the social proof effect (Floeck et al, 2011;Golder et al, 2006), thus many of the tags are incorporated in the terminology of online community. In fact, our chosen query set belongs to the intersection between the NCRV tags and the online community's search terminology as witnessed by Fig.…”

Section: Ground Truthmentioning

confidence: 99%

Topical Video Search: Analysing Video Concept Annotation through Crowdsourcing Games

Gligorov

Hildebrand

Ossenbruggen

et al. 2017

HCj

View full text Add to dashboard Cite

Games with a purpose (GWAPs) are increasingly used in audio-visual collections as a mechanism for annotating videos through tagging. One such GWAP is Waisda?, a video labeling game where players tag streaming video and win points by reaching consensus on tags with other players. The open-ended and unconstrained manner of tagging in the fast-paced setting of the game has fundamental impact on the resulting tags. Consequently, the Waisda? tags predominately describe visual objects and rarely refer to the topics of the videos. In a previous study [ECIR 2013, 50-61], Gligorov at al. showed that the Waisda? tags are effective in finding video segments that depict a specific entity (person, object, etc.) of interest. This study evaluates the performance of the game tags for retrieval of videos that are about a given topic. To this end, we setup a Cranfield-style experiment for which we use an evaluation dataset that consists of: (i) a collection of videos tagged in Waisda?, (ii) a set of queries derived from real-life query logs, and (iii) relevance judgements. While we reuse the collection of videos and the set of queries compiled by Gligorov at al., we designed the set of relevance judgments specifically for this study. The novelty aspects of this paper are as follows. Our results demonstrate that the raw, unprocessed game tags are not well suited for retrieving videos based on topic. We perform a qualitative analysis of the search results which reveals that this is mainly caused by the presence of general tags which refer to visual objects unrelated to the topics of the video. Thus, we characterize the quality of the game tags as topical annotations in order to detect and filter out the non-topical ones. We explore several features of the game tags which could serve as an indication of their quality as topical descriptors. Our results show that after filtering, the game tags perform equally well compared to the manually crafted metadata when it comes to accessing the videos based on topic. An important consequence of this finding is that tagging games can provide a cost-effective alternative in situations when manual annotation by professionals is too costly.

show abstract

“…Furthermore, in [14] the inter-indexer consistency is measured in terms of the tag reuse rate, i. e. by the average number of users who apply a tag. Finally, in several other studies [3,6,7,10] a smaller size of the final vocabulary is taken as an indicator for the consensus among the users. In all these studies, it has been shown that recommending tags based on the tag assignments of other users leads to a higher interindexer consistency.…”

Section: Related Workmentioning

confidence: 99%

“…By looking at the literature about tagging systems (see Section 2), two measures related to the inter-indexer consistency can be identified: The tag reuse rate from [14] and the size of the vocabulary [3,6,7,10]. The global vocabulary size is not a good measure for the inter-indexer consistency because it is not only influenced by the overlap of the users' vocabularies or the inter-indexer consistency respectively but also by the average size of the users' vocabularies.…”

Section: Measuring the Inter-indexer Consistencymentioning

confidence: 99%

See 1 more Smart Citation

Measuring the influence of tag recommenders on the indexing quality in tagging systems

Dellschaft

Staab

2012

Proceedings of the 23rd ACM Conference on Hypertext and Social Media

View full text Add to dashboard Cite

In this paper, we investigate a methodology for measuring the influence of tag recommenders on the indexing quality in collaborative tagging systems. We propose to use the interresource consistency as an indicator of indexing quality. The inter-resource consistency measures the degree to which the tag vectors of indexed resources reflect how the users understand the resources. We use this methodology for evaluating how tag recommendations coming from (1) the popular tags at a resource or from (2) the user's own vocabulary influence the indexing quality. We show that recommending popular tags decreases the indexing quality and that recommending the user's own vocabulary increases the indexing quality.

show abstract

Imitation and Quality of Tags in Social Bookmarking Systems – Collective Intelligence Leading to Folksonomies

Cited by 15 publications

References 25 publications

Co-authorship networks in electronic markets research

Co-authorship networks in electronic markets research

Topical Video Search: Analysing Video Concept Annotation through Crowdsourcing Games

Measuring the influence of tag recommenders on the indexing quality in tagging systems

Contact Info

Product

Resources

About