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Detecting Hate Speech on Twitter Using a Convolution-GRU Based Deep Neural Network

https://doi.org/10.1007/978-3-319-93417-4_48
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19/19 checkable references clean · checked 2026-07-25

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

10 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 19 checked references that resolve
resolves10.1145/3041021.3054223
Deep Learning for Hate Speech Detection in Tweets
resolves10.1002/poi3.85
Cyber Hate Speech on Twitter: An Application of Machine Classification and Statistical Modeling for Policy and Decision Making
resolves10.1162/tacl_a_00104
Named Entity Recognition with Bidirectional LSTM-CNNs
resolves10.1609/icwsm.v11i1.14955
Automated Hate Speech Detection and the Problem of Offensive Language
resolves10.1145/2362394.2362400
Common Sense Reasoning for Detection, Prevention, and Mitigation of Cyberbullying
resolves10.1145/2740908.2742760
Hate Speech Detection with Comment Embeddings
resolves10.18653/v1/W17-3013
Using Convolutional Neural Networks to Classify Hate-Speech
resolves10.14257/ijmue.2015.10.4.21
A Lexicon-based Approach for Hate Speech Detection
resolves10.18653/v1/W16-3638
Do Characters Abuse More Than Words?
resolves10.1145/2872427.2883062
Abusive Language Detection in Online User Content
resolves10.3390/s16010115
Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition
resolves10.18653/v1/W17-3006
One-step and Two-step Classification for Abusive Language Detection on Twitter
resolves10.18653/v1/W17-1101
A Survey on Hate Speech Detection using Natural Language Processing
resolves10.1016/j.neucom.2016.12.088
An analysis of Convolutional Long Short-Term Memory Recurrent Neural Networks for gesture recognition
resolves10.18653/v1/W16-5618
Are You a Racist or Am I Seeing Things? Annotator Influence on Hate Speech Detection on Twitter
resolves10.18653/v1/N16-2013
Hateful Symbols or Hateful People? Predictive Features for Hate Speech Detection on Twitter
resolves10.1145/2396761.2398556
Detecting offensive tweets via topical feature discovery over a large scale twitter corpus
resolves10.24963/ijcai.2017/552
A Group-Based Personalized Model for Image Privacy Classification and Labeling
resolves10.1111/j.1467-9868.2005.00503.x
Regularization and Variable Selection Via the Elastic Net
The 10 references without a DOI — listed, not checked
no DOI — not checkedBBCNews: Countering hate speech online. http://eeagrants.org/News/2012/. Accessed July 2017
no DOI — not checkedBBCNews: Finsbury park attack: son of hire boss held over Facebook post. http://www.bbc.co.uk/news/uk-wales-40347813. Accessed May 2017
no DOI — not checkedChung, J., Gulcehre, C., Cho, K., Bengio, Y.: Empirical evaluation of gated recurrent neural networks on sequence modeling. In: NIPS 2014 Deep Learning and Representation Learning Workshop (2014)
no DOI — not checkedGuardian: Anti-muslim hate crime surges after Manchester and London Bridge attacks. https://www.theguardian.com. Accessed July 2017
no DOI — not checkedGuardian: Zuckerberg on refugee crisis: ‘hate speech has no place on Facebook’. https://www.theguardian.com. Accessed July 2017
no DOI — not checkedKingma, D.P., Ba, J.: Adam: a method for stochastic optimization. In: Proceedings of the 3rd International Conference for Learning Representations (2015)
no DOI — not checkedMcCaffrey, J.D.: Why you should use cross-entropy error instead of classification error or mean squared error for neural network classifier training. https://jamesmccaffrey.wordpress.com. Accessed Jan 2018
no DOI — not checkedOkeowo, A.: Hate on the rise after Trump’s election. http://www.newyorker.com/. Accessed July 2017
no DOI — not checkedVigna, F.D., Cimino, A., Dell’Orletta, F., Petrocchi, M., Tesconi, M.: Hate me, hate me not: hate speech detection on Facebook. In: Proceedings of the First Italian Conference on Cybersecurity, pp. 86–95 (2017)
no DOI — not checkedWarner, W., Hirschberg, J.: Detecting hate speech on the world wide web. In: Proceedings of the Second Workshop on Language in Social Media, LSM 2012, pp. 19–26. Association for Computational Linguistics (2012)
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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