Content moderation systems for social media have had numerous issues of bias, in terms race, gender, and ability among many others. One proposal addressing such automated decision making is by designing contestability, whereby users can shape influence how decisions are made. In this study, we conduct a series participatory design workshops with participants from communities that experienced pr...

CSCL learning environments provide new contexts for discussions and are thought to provide new opportunities for learning. At the same time, such environments often do not provide guidance on how to act during the discussion. The purpose of this paper is to initiate research on moderation in synchronous discussions in a CSCL environment. The first study contrasts teachers' beliefs on good discu...

Online discussion forums are a valuable resource for people looking to find information, discuss ideas, and get advice on the Internet. Unfortunately, many forums have too much activity and information available, resulting in information overload. Moderation systems are implemented in some forums as a way to handle this problem, but due to sparsity issues, they are often not sufficient. In this...

We study how total factor productivity (TFP), energy prices, and the Great Moderation are linked. First we estimate a joint stochastic process for the energy price and TFP and establish that until the second quarter of 1982, energy prices negatively affected productivity. This spillover has since disappeared. Second, we show that within the framework of a dynamic stochastic general equilibrium ...

KeyGraph is a visualization tool for discovery of relations among text-based data. This paper discusses a new application of KeyGraph for visualization of discussions in the comments of a blog entry in Slashdot. We propose an approach that applies KeyGraph successively to multiple chunks of comments, each chunk having a different range of moderation scores provided by Slashdot. This approach gi...

While online communities have become increasingly important over the years, the moderation of user-generated content is still performed mostly manually. Automating this task is an important step in reducing the financial cost associated with moderation, but the majority of automated approaches strictly based on message content are highly vulnerable to intentional obfuscation. In this paper, we ...

.......................................................................................................... i DEDICATION ....................................................................................................... iii ACKNOWLEDGMENTS ....................................................................................... iv LIST OF TABLES ..................................................

We study how total factor productivity (TFP), energy prices and the great moderation are linked. First, we estimate a joint stochastic process for the energy price and TFP and establish that until 1982:II, energy prices negatively affected productivity. This spill-over has since disappeared. Second, we show that within the framework of a Dynamic Stochastic General Equilibrium (DSGE) model, the ...

Experimenting with a new dataset of 1.6M user comments from a news portal and an existing dataset of 115K Wikipedia talk page comments, we show that an RNN operating on word embeddings outpeforms the previous state of the art in moderation, which used logistic regression or an MLP classifier with character or word n-grams. We also compare against a CNN operating on word embeddings, and a word-l...