Human-machine collaboration for content regulation: The case of reddit automoderator

S Jhaver, I Birman, E Gilbert, A Bruckman - ACM Transactions on …, 2019 - dl.acm.org
What one may say on the internet is increasingly controlled by a mix of automated programs,
and decisions made by paid and volunteer human moderators. On the popular social media …

A survey on assessment and ranking methodologies for user-generated content on the web

E Momeni, C Cardie, N Diakopoulos - ACM Computing Surveys (CSUR), 2015 - dl.acm.org
User-generated content (UGC) on the Web, especially on social media platforms, facilitates
the association of additional information with digital resources; thus, it can provide valuable …

Ranking comments on the social web

CF Hsu, E Khabiri, J Caverlee - 2009 International Conference …, 2009 - ieeexplore.ieee.org
We study how an online community perceives the relative quality of its own user-contributed
content, which has important implications for the successful self-regulation and growth of the …

Analyzing and mining comments and comment ratings on the social web

S Siersdorfer, S Chelaru, JS Pedro… - ACM Transactions on …, 2014 - dl.acm.org
An analysis of the social video sharing platform YouTube and the news aggregator Yahoo!
News reveals the presence of vast amounts of community feedback through comments for …

Backjump-based techniques versus conflict-directed heuristics

C Lecoutre, F Boussemart… - 16th IEEE International …, 2004 - ieeexplore.ieee.org
We present a general algorithm which gives a uniform view of several state-of-the-art
systematic backtracking search algorithms for solving both binary and nonbinary CSP …

Information retrieval in the commentsphere

M Potthast, B Stein, F Loose, S Becker - ACM Transactions on Intelligent …, 2012 - dl.acm.org
This article studies information retrieval tasks related to Web comments. Prerequisite of such
a study and a main contribution of the article is a unifying survey of the research field. We …

New frontiers in cognitive content curation and moderation

CS Li, G Xiong, EM Tapia - APSIPA Transactions on Signal and …, 2018 - cambridge.org
Social media, online forums, and online e-commerce heavily encourage and rely on content
posted by humans to attract visitors and enable participation in their sites. However …

Demand-driven associative classification

A Veloso, W Meira Jr - Demand-Driven Associative Classification, 2011 - Springer
The ultimate goal of classification algorithms is to achieve the best possible classification
performance for the problem at hand. Most often, classification performance is obtained by …

Incremental Machine Learning for Text Classification in Comment Moderation Systems

A Wolters, K Müller, DM Riehle - … on Disinformation in Open Online Media, 2022 - Springer
Over the last decade, researchers presented (semi-) automated comment moderation
systems (CMS) based on machine learning (ML) and natural language processing (NLP) …

Detox: NLP Based Classification And Euphemistic Text Substitution For Toxic Comments

S Jain, G Kaushik, P Prabhu… - 2021 12th International …, 2021 - ieeexplore.ieee.org
The challenges of eliminating inadvertent hate online have grown more and more
observable. With rapid increase in access to technology worldwide, the number of people …