The effect of negative buyer feedback on prices in Internet auction markets
ICIS '00 Proceedings of the twenty first international conference on Information systems
Self-selection, slipping, salvaging, slacking, and stoning: the impacts of negative feedback at eBay
Proceedings of the 6th ACM conference on Electronic commerce
The online auction market in China: a comparative study between Taobao and eBay
ICEC '05 Proceedings of the 7th international conference on Electronic commerce
Understanding user behavior in online feedback reporting
Proceedings of the 8th ACM conference on Electronic commerce
A typology of complaints about eBay sellers
Communications of the ACM - The psychology of security: why do good users make bad decisions?
Mining tag clouds and emoticons behind community feedback
Proceedings of the 17th international conference on World Wide Web
The convergence of social and technological networks
Communications of the ACM - Remembering Jim Gray
The sound of silence: mining implicit feedbacks to compute reputation
WINE'06 Proceedings of the Second international conference on Internet and Network Economics
Improving computational trust representation based on Internet auction traces
Decision Support Systems
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An auction platform is a dynamic environment where a rich variety of social effects can be observed. Most of those effects remain unnoticed or even hidden to ordinary users. The in-depth studies of such effects should allow us to identify and understand the key factors influencing users' behaviour. The material collected from the biggest Polish auction house has been analyzed. NLP algorithms were applied to extract sentiment-related content from collected comments and to measure informativity. Emotional distance between negative, neutral and positive comments has been calculated. The obtained results confirm the existence of the spiral-of-hatred effect but also indicate that much more complex patterns of mutual relations between sellers and buyers exist. The last section contains a several suggestions which can prove useful to improve trustworthiness of users' reports and security of an auction platform in general.