In the Web 2.0 eras, the individual Internet users can also act as information providers, releasing information or making comments conveniently. However, some participants may spread irresponsible remarks or express irrelevant comments for commercial interests. This kind of socalled comment spam severely hurts the information quality. This paper tries to automatically detect comment spam throug...

We address the problem of hate speech detection in online user comments. Hate speech, defined as an “abusive speech targeting specific group characteristics, such as ethnicity, religion, or gender”, is an important problem plaguing websites that allow users to leave feedback, having a negative impact on their online business and overall user experience. We propose to learn distributed low-dimen...

Users’ reviews, comments and votes on the Social Web form the modern version of word-of-mouth communication, which has a huge impact on people’s habits and businesses. Nonetheless, there are only few attempts to formally model and analyze them using Computational Models of Argument, which achieved a first significant step in bringing these two fields closer. In this paper, we attempt their furt...

Sheryl Brahnam Missouri State University 1909 S. National Springfield, MO 65804 USA [email protected] In this paper, I present a preliminary study that examines the sexual comments and insults users directed at three conversational agents that differed in the gender impressions of their embodiment. The three types of embodiment explored in this study are male, female, and neuter-robotic. Resu...

In June 2016, there were an estimated 1.55 billion active users on the most popular social media platform, Facebook[1]. As of April 26th, 2017, there were an estimated 700 million active users on Instagram, our main social media platform for this research. As the number of users on social media platforms increases, a problem of great significance becomes clear: the increasing amount of negativi...

Riches I applaud the efforts of Holmes et al (Pediatrics 2014;133:766–768) to provide guidance to clinicians asked to write narrative evaluations of medical students. As the authors correctly point out, thoughtful comments “provide meaningful feedback to the student about performance, and formulate strong statements for the Medical Student Performance Evaluation,” or MSPE. I have 1 concern rela...

We predict drops in electronic dance music (EDM), employing different multimodal approaches. We combine three sources of data: noisy labels collected through crowdsourcing, timed comments from SoundCloud and audio content analysis. We predict the correct labels from the noisy labels using the majority vote and Dawid-Skene methods. We also employ timed comments from SoundCloud users to count the...

Background: There is widespread use of the Internet to promote anorexia as a lifestyle choice. Pro-anorexia content can be harmful for people affected or at risk of having anorexia. That movement is actively engaged in sharing photos on social networks such as Flickr. Objective: To study the characteristics of the online communities engaged in disseminating content that encourages eating disord...

Referee #1 No comments were received from referee 1 in the open discussion stage. Referee #2 General comments A general point which I miss, is a discussion of the estimated errors of the MLS SO2 data and a comparison with the validation results. This might indicate whether there are other error sources which have not been taken into consideration for estimating errors. This would be valuable in...

This paper presents preliminary results of using authorship attribution methods for the detection of sockpuppeteering in Wikipedia. Sockpuppets are fake accounts created by malicious users to bypass Wikipedia’s regulations. Our dataset is composed of the comments made by the editors on the talk pages. To overcome the limitations of the short lengths of these comments, we use an voting scheme to...