Spiral of Hatred: Social Effects in Buyer-Seller Cross-Comments Left on Internet Auctions

  title={Spiral of Hatred: Social Effects in Buyer-Seller Cross-Comments Left on Internet Auctions},
  author={Radoslaw Nielek and Aleksander Wawer and Adam Wierzbicki},
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. Emotional distance between… 


Pennies from Ebay: The Determinants of Price in Online Auctions
This paper presents an exploratory analysis of the determinants of prices in online auctions for collectible United States one-cent coins at the eBay web site. Starting with an initial data set of
The Sound of Silence: Mining Implicit Feedbacks to Compute Reputation
A method is presented that avoids the unfavorable phenomenon of overestimating the reputation of sellers by using implicit feedbacks and an advanced method of implicit feedback discovery is proposed that uses simulation to show that the use of the implicit feedback can improve a simple reputation system such as used by eBay.
The Social Cost of Cheap Pseudonyms
We consider the problems of societal norms for cooperation and reputation when it is possible to obtain cheap pseudonyms, something that is becoming quite common in a wide variety of interactions on
Reputation and e-commerce: eBay auctions and the asymmetrical impact of positive and negative ratings
This analysis explores the impact and nature of reputation as related to e-commerce by looking at the importance of a seller’s reputational rating on the final bid price associated with eBay
Self-selection, slipping, salvaging, slacking, and stoning: the impacts of negative feedback at eBay
Analysis of usage history for a large panel of eBay sellers suggests that both seller and buyer behavior change in response to changes in a seller's feedback profile, and that buyers appear to be more willing to give negative feedback to sellers who have recently received other negative feedback.
The online auction market in China: a comparative study between Taobao and eBay
By comparing between the data from Taobao and eBay, it is found that the distribution of Chinese online traders' 6-month reputation scores is lognormal, which indicates the difference in the cultural aspect contrasting to that of eBay.
Understanding user behavior in online feedback reporting
It is shown that groups of users who amply discuss a certain feature are more likely to agree on a common rating for that feature and that a user's rating partly reflects the difference between true quality and prior expectation of quality as inferred from previous reviews.
Winner's Curse, Reserve Prices and Endogenous Entry: Empirical Insights from Ebay Auctions
Internet auctions have recently gained widespread popularity and are one of the most successful forms of electronic commerce. We examine a unique dataset of eBay coin auctions to explore the
A study of reviews and ratings on the internet
Preliminary user studies are conducted to uncover the ways people use and perceive reviews and ratings on the Internet and list recommendations for designers of online rating and review systems.