Fetching the paper…
Reading the bibliography…
We introduce a generic, language-independent method to collect a large percentage of offensive and hate tweets regardless of their topics or genres.
The measurement of observer agreement for categorical data
1977
Earlier work this paper cites.
Sequential minimal optimization: A fast algorithm for training support vector machines
1998
Earlier work this paper cites.
The effect of perceived social support on subjective well-being
2010
Earlier work this paper cites.
Political polarization on twitter
2011
Earlier work this paper cites.
The harm in hate speech
2012
Earlier work this paper cites.
Isc: An iterative social based classifier for adult account detection on twitter
2014
Earlier work this paper cites.
Using twitter to collect a multi-dialectal corpus of arabic
2014
Earlier work this paper cites.
Demographic surveys of arab annotators on crowdflower
2016
Earlier work this paper cites.
"why should i trust you?": Explaining the predictions of any classifier
2016
Earlier work this paper cites.
Seminar users in the arabic twitter sphere
2017
Earlier work this paper cites.
Automated hate speech detection and the problem of offensive language
2017
Earlier work this paper cites.
Investigating redundancy in emoji use: Study on a twitter based corpus
2017
Earlier work this paper cites.
Beyond the alphabet–communcataion of emojis
2017
Cited alongside, same era.
Assessing symptoms of excessive sns usage based on user behavior and emotion: analysis of data obtained by sns apis
2017
Cited alongside, same era.
Abusive language detection on arabic social media
2017
Cited alongside, same era.
Are they our brothers? analysis and detection of religious hate speech in the arabic twittersphere
2018
Cited alongside, same era.
Think before your click: Data and models for adult content in arabic twitter
2018
Cited alongside, same era.
Conan–counter narratives through nichesourcing: a multilingual dataset of responses to fight online hate speech
2019
Cited alongside, same era.
Behavior-based machine learning approaches to identify state-sponsored trolls on twitter
2020
Later among the works it cites.
Hate speech detection in saudi twittersphere: A deep learning approach
2020
Later among the works it cites.
Arabert: Transformer-based model for arabic language understanding
2020
Later among the works it cites.
Learning political polarization on social media using neural networks
2020
Later among the works it cites.
ALT at SemEval-2020 task 12: Arabic and English offensive language identification in social media
2020
Later among the works it cites.
Osact4 shared task on offensive language detection: Intensive preprocessing based approach
2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Unsupervised cross-lingual representation learning at scale
2019
Cited alongside, same era.
BERT: Pre-training of deep bidirectional transformers for language understanding
2019
Cited alongside, same era.
Decoding the new world language: Analyzing the popularity, roles, and utility of emojis
2019
Cited alongside, same era.
Multilingual and multi-aspect hate speech analysis
2019
Cited alongside, same era.
Alberto: Italian bert language understanding model for nlp challenging tasks based on tweets
2019
Cited alongside, same era.
LISAC FSDM-USMBA team at SemEval-2020 task 12: Overcoming AraBERT’s pretrain-finetune discrepancy for Arabic offensive language identification
2020
Cited alongside, same era.
The hateful memes challenge: Detecting hate speech in multimodal memes
2020
Later among the works it cites.
Developing an online hate classifier for multiple social media platforms
2020
Later among the works it cites.
SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020)
2020
Later among the works it cites.
Adult content detection on Arabic Twitter: Analysis and experiments
2021
Later among the works it cites.
Detecting abusive language on online platforms: A critical analysis
2021
Later among the works it cites.
Exploiting emojis for abusive language detection
2021
Later among the works it cites.