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Found 16 papers, 2 papers with code
Towards a Comprehensive Taxonomy and Large-Scale Annotated Corpus for Online Slur Usage
Abusive language classifiers have been shown to exhibit bias against women and racial minorities.
Enriching Abusive Language Detection with Community Context
Our paper highlights how community context can improve classification outcomes in abusive language detection.
``Are you kidding me?'': Detecting Unpalatable Questions on Reddit
Abusive language in online discourse negatively affects a large number of social media users.
Legends: Folklore on Reddit
In this paper we introduce Reddit legends, a collection of venerated old posts that have become famous on Reddit.
Assessing Partisan Traits of News Text Attributions
On the topic of journalistic integrity, the current state of accurate, impartial news reporting has garnered much debate in context to the 2016 US Presidential Election.
A Hierarchical Neural Attention-based Text Classifier
Deep neural networks have been displaying superior performance over traditional supervised classifiers in text classification.
Sentiment Analysis: It's Complicated!
In datasets constructed for the purpose of Twitter sentiment analysis (TSA), these controversial examples can compose over 30{\%} of the originally annotated data.
Assessing the Verifiability of Attributions in News Text
When reporting the news, journalists rely on the statements of stakeholders, experts, and officials.
A Web of Hate: Tackling Hateful Speech in Online Social Spaces
Online social platforms are beset with hateful speech - content that expresses hatred for a person or group of people.
Vectors for Counterspeech on Twitter
A study of conversations on Twitter found that some arguments between strangers led to favorable change in discourse and even in attitudes.
Annotating Characters in Literary Corpora: A Scheme, the CHARLES Tool, and an Annotated Novel
To address the latter problem, this work presents three contributions: (1) a comprehensive scheme for manually resolving mentions to characters in texts.
