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With growing role of social media in shaping public opinions and beliefs across the world, there has been an increased attention to identify and counter the problem of hate speech on social media.
Hate speech
Nockleby, J. T · 2000
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Terror on facebook, twitter, and youtube
Weimann, G · 2010
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Detecting social network profile cloning
Kontaxis, G., Polakis, I., Ioannidis, S., and Markatos, E. P · 2011
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Profanity use in online communities
Sood, S., Antin, J., and Churchill, E · 2012
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Locate the hate: Detecting tweets against blacks
Kwok, I. and Wang, Y · 2013
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Convolutional neural networks for sentence classification
Kim, Y · 2014
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Translating surveys to surveillance on social media: methodological challenges & solutions
Yang, C. and Srinivasan, P · 2014
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Hate speech detection with comment embeddings
Djuric, N., Zhou, J., Morris, R., Grbovic, M., Radosavljevic, V., and Bhamidipati, N · 2015
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Skip-thought vectors
Kiros, R., Zhu, Y., Salakhutdinov, R. R., Zemel, R., Urtasun, R., Torralba, A., and Fidler, S · 2015
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The cyberspace war: propaganda and trolling as warfare tools
Aro, J · 2016
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Abusive language detection in online user content
Nobata, C., Tetreault, J., Thomas, A., Mehdad, Y., and Chang, Y · 2016
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Cyberbullying identification using participant-vocabulary consistency
Raisi, E. and Huang, B · 2016
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Why should i trust you?: Explaining the predictions of any classifier
Ribeiro, M. T., Singh, S., and Guestrin, C · 2016
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Anyone can become a troll: Causes of trolling behavior in online discussions
Cheng, J., Bernstein, M., Danescu-Niculescu-Mizil, C., and Leskovec, J · 2017
Cited alongside, same era.
Supervised learning of universal sentence representations from natural language inference data
Conneau, A., Kiela, D., Schwenk, H., Barrault, L., and Bordes, A · 2017
Cited alongside, same era.
Fanning the flames of hate: Social media and hate crime
Müller, K. and Schwarz, C · 2017
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One-step and two-step classification for abusive language detection on twitter
Park, J. H. and Fung, P · 2017
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” they basically like destroyed the school one day”: On newer app features and cyberbullying in schools
Singh, V. K., Radford, M. L., Huang, Q., and Furrer, S · 2017
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Twitter demographic classification using deep multi-modal multi-task learning
Vijayaraghavan, P., Vosoughi, S., and Roy, D · 2017
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Combining character and word information in neural machine translation using a multi-level attention
Chen, H., Huang, S., Chiang, D., Dai, X., and Chen, J · 2018
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Davidson, T., Warmsley, D., Macy, M., and Weber, I · 2017
Cited alongside, same era.
A large labeled corpus for online harassment research
Golbeck, J., Ashktorab, Z., Banjo, R. O., Berlinger, A., Bhagwan, S., Buntain, C., Cheakalos, P., Geller, A. A., Gergory, Q., Gnanasekaran, R. K., et al · 2017
Cited alongside, same era.
Deceiving google’s perspective api built for detecting toxic comments
Hosseini, H., Kannan, S., Zhang, B., and Poovendran, R · 2017
Cited alongside, same era.
Detecting the hate code on social media
Magu, R., Joshi, K., and Luo, J · 2017
Cited alongside, same era.
Large scale crowdsourcing and characterization of twitter abusive behavior
Founta, A.-M., Djouvas, C., Chatzakou, D., Leontiadis, I., Blackburn, J., Stringhini, G., Vakali, A., Sirivianos, M., and Kourtellis, N · 2018
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All you need is” love”: Evading hate-speech detection
Gröndahl, T., Pajola, L., Juuti, M., Conti, M., and Asokan, N · 2018
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A survey of methods for explaining black box models
Guidotti, R., Monreale, A., Ruggieri, S., Turini, F., Giannotti, F., and Pedreschi, D · 2018
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Making america hate again? twitter and hate crime under trump
Müller, K. and Schwarz, C · 2018
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