Part I. Illustrating the operationalization of consultations Originally, all cases are coded (non-exclusively) for the presence of online [146], forum [123], gated [116], advice [84], EU agencies [22], management and labor [6], and informal [9] types of consultations, or none at all. The gated

www.StatLit.org/pdf/2014-Schield-ICOTS-Slides.pdf Statistical literacy (critical thinking with statistics) requires • analytical skills: decoding statistical summaries, grammar and arguments • communication skills: how the presentation influences the apparent strength of an argument Students need lots of practice to develop these skills. Students remember 90 % of the subject matter if they do the task themselves even as a simulation, as opposed to 10%, 20 % and 50 % if they read, hear or watch someone else do the task respectively. Menn (1993) 2014 ICOTS 3

We apply stylometric techniques to determine the authors of posts in online forums. After selecting a small number (15) of features by information gain, we used the Naive Bayes and Support Vector Machine algorithms to perform multiclass classification. The SVM achieves the best performance, being

and their fixing. Many believe that there is no appropriate support available to fix the bugs. On the contrary some believe that due to the active involvement of internet user in online forums, they become a major source of communicating the identification and fixing of defects in open source software

Using Wittgenstein’s language game paradigm, we analyze the discourse of three online forums devoted to a popular managerial topic. Four major dimensions shape our analysis: roles, legitimacy and authority, identity, and linguistic style. By examining recurrent speech patterns related to each

Online forums represent one type of social media that is particularly rich for studying human behavior in information seeking and diffusing. The way users join communities is a reflection of the changing and expanding of their interests toward information. In this paper, we study the patterns

Online community is an important source for latest news and information. Accurate prediction of a user’s interest can help provide better user experience. In this paper, we develop a recommendation system for online forums. There are a lot of differences between online forums and formal media

Language learning and language acquisition in online forums

Online forums contain a huge amount of valuable user generated content. In this paper we address the problem of extracting question-answer pairs from forums. Question-answer pairs extracted from forums can be used to help Question Answering services (e.g. Yahoo! Answers) among other applications

Online forums contain interactive and semantically related discussions on various questions. Extracted question-answer archive is invaluable knowledge, which can be used to improve Question Answering services. In this paper, we address the problem of Question Suggestion, which targets at suggesting