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20182021
most citedMeasuring Recommender System Effects with Simulated Users

22 citations · 34 across the 3 of their papers we have counts for

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cs.CL2020

Six Attributes of Unhealthy Conversation

Ilan Price, Jordan Gifford-Moore, Jory Fleming +6

We present a new dataset of approximately 44000 comments labeled by crowdworkers. Each comment is labelled as either 'healthy' or 'unhealthy', in addition to binary labels for the…

cs.CL2020

Toxicity Detection: Does Context Really Matter?

John Pavlopoulos, Jeffrey Sorensen, Lucas Dixon +2

Moderation is crucial to promoting healthy on-line discussions. Although several `toxicity' detection datasets and models have been published, most of them ignore the context of th…

cs.CL2020

Classifying Constructive Comments

Varada Kolhatkar, Nithum Thain, Jeffrey Sorensen +2

We introduce the Constructive Comments Corpus (C3), comprised of 12,000 annotated news comments, intended to help build new tools for online communities to improve the quality of t…

cs.CL2018

WikiConv: A Corpus of the Complete Conversational History of a Large Online Collaborative Community

Yiqing Hua, Cristian Danescu-Niculescu-Mizil, Dario Taraborelli +3

We present a corpus that encompasses the complete history of conversations between contributors to Wikipedia, one of the largest online collaborative communities. By recording the…

cs.CL2018

Conversations Gone Awry: Detecting Early Signs of Conversational Failure

Justine Zhang, Jonathan P. Chang, Cristian Danescu-Niculescu-Mizil +4

One of the main challenges online social systems face is the prevalence of antisocial behavior, such as harassment and personal attacks. In this work, we introduce the task of pred…