Online reviews are often accompanied with numerical ratings provided by users for a set of service or product aspects. We propose a statistical model which is able to discover corresponding topics in text and extract textual evidence from reviews supporting each of these aspect ratings – a fundamental problem in aspect-based sentiment summarization (Hu and Liu, 2004a). Our model achieves high a...

A large-scale online teacher resource exchange is studied to examine the ways in which metadata influence teachers’ selection of resources. A hierarchical linear modeling approach was used to tease apart the simultaneous effects of resource features and author features. From a decision heuristics theoretical perspective, teachers appear to rely on complex heuristics that integrate many dimensio...

We design a field experiment to explore the use of social comparison to increase contributions to an online community. We find that, after receiving behavioral information about the median user’s total number of movie ratings, users below the median demonstrate a 530% increase in the number of monthly movie ratings, while those above the median do not necessarily decrease their ratings. When gi...

Five methods for eliciting subjective ratings after each task in a usability test were evaluated. The methods included simple Likert scales as well as a technique derived from Usability Magnitude Estimation. They were tested in a large-scale online study in which participants performed six tasks on an Intranet site. Performance data for the tasks reflected the same pattern as all of the subject...

Rating prediction is an important application, and a popular research topic in collaborative filtering. However, both the validity of learning algorithms, and the validity of standard testing procedures rest on the assumption that missing ratings are missing at random (MAR). In this paper we present the results of a user study in which we collect a random sample of ratings from current users of...

over the past years there has been a significant growth in corporate reporting of environmental,social and corporate governance (esg) factors. this study assesses whether esg ratings are related to firmperformance. through a multivariate analysis we have confirmed differences between the esg scores used toevaluate environmental, social and corporate governance factors of rated companies. we che...

Archived transcripts from tens of millions of online human tutoring sessions potentially contain important knowledge about how online tutors help, or fail to help, students learn. However, without ways of automatically analyzing these large corpora, any knowledge in this data will remain buried. One way to approach this issue is to train an estimator for the learning effectiveness of an online ...

Increasingly, online systems depend on user contributions such as posts, ratings, tags, and comments. Many of these systems wish to encourage broader participation or the contribution of higher quality content. In this doctoral consortium paper, I present past work and propose future work on understanding user motivations to contribute online and on the use of personalization technology and inc...

Online product ratings are widely available on the Internet and are known to influence prospective buyers. An emerging literature has started to look at how ratings are generated and in particular how they are influenced by prior ratings. We study the social influence of prior ratings and, in particular, investigate any differential impact of prior ratings by strangers (“crowd”) versus friends....

approved: ______________________________________________________ Carlos Jensen The Internet is growing rapidly in terms of websites, users and uses. People use the Internet for reference, shopping, social networking, communications, business and much more. Though the Internet is useful, there are many risks associated with its use, like malicious websites, identity theft, hateful content and fr...