Aggression detection through deep neural model on Twitter

Future Generation Computer Systems - Tập 114 - Trang 120-129 - 2021
Saima Sadiq1, Arif Mehmood2, Saleem Ullah1, Maqsood Ahmad1, Gyu Sang Choi3, Byung-Won On4
1Department of Computer Science, Khawaja Fareed University of Engineering and Information Technology, Rahim Yar Khan 64200, Pakistan
2Department of Computer Science and Information Technology, The Islamia University of Bahawalpur, Bahawalpur 63100, Pakistan
3Department of Information and Communication Engineering, Yeungnam University, Gyeongsan 38542, Republic of Korea
4Department of Software Convergence Engineering, Kunsan National University, Gunsan 54150, Republic of Korea

Tóm tắt

Từ khóa


Tài liệu tham khảo

SMIT, 2015, Cyberbullying in South African and American schools: A legal comparative study, South African J. Educ., 35, 01, 10.15700/saje.v35n2a1076

Grigg, 2010, Cyber-aggression: De_nition and concept of cyberbullying, Aust. J. Guid. Couns., 20, 10.1375/ajgc.20.2.143

Nockleby, 2000, Hate speech

Doyle, 2019

van der Walt, 2018, Cyber-security: Identity deception detection on social media platforms, Comput. Secur., 10.1016/j.cose.2018.05.015

Fichman, 2016

March, 2017, Trolling on tinder®(and other dating apps): Examining the role of the dark tetrad and impulsivity, Pers. Individ. Differ., 110, 139, 10.1016/j.paid.2017.01.025

Maltby, 2016, Implicit theories of online trolling: Evidence that attention-seeking conceptions are associated with increased psychological resilience, Br. J. Psychol., 107, 448, 10.1111/bjop.12154

Gammon, 2014

Dewey, 2016

Joachims, 1998, Text categorization with support vector machines: Learning with many relevant features, 137

Y. Shen, X. He, J. Gao, L. Deng, G. Mesnil, Learning semantic representations using convolutional neural networks for web search, in: Proceedings of the 23rd International Conference on World Wide Web - WWW 14 Companion, 2014.

Xiao, 2016

Tai, 2015

Djuric, 2015, Hate speech detection with comment embeddings, 29

Stéphan Tulkens, Lisa Hilte, Elise Lodewyckx, Ben Verhoeven, Walter Daelemans, A Dictionary-based approach to racism detection in dutch social media, in: Proceedings of the Workshop Text Analytics for Cybersecurity and Online Safety, TA-COS, Portoroz, Slovenia.

Saravanaraj, 2016, Automatic detection of cyberbullying from twitter, Int. J. Comput. Sci. Inf. Technol. Secur., 6, 26

Al-garadi, 2016, Cybercrime detection in online communications: The experimental case of cyberbullying detection in the Twitter network, Comput. Hum. Behav., 63, 433, 10.1016/j.chb.2016.05.051

D. Chatzakou, N. Kourtellis, J. Blackburn, E. De Cristofaro, G. Stringhini, A. Vakali, Mean birds: Detecting aggression and bullying on Twitter, in: Proceedings of the 2017 ACM on web science conference, New York, USA, 2017, pp. 13–22.

Thomas Davidson, Dana Warmsley, Michael Macy, Ingmar Weber, Automated hate speech detection and the problem of offensive language, in: Proceedings of ICWSM.

Björn Gambäck, Utpal Kumar Sikdar, Using convolutional neural networks to classify hate-speech, in: Proceedings of the First Workshop on Abusive Language Online, 2017, pp. 85–90.

Julian Risch, Ralf Krestel, Aggression identification using deep learning and data augmentation, in: Proceedings of the First Workshop on Trolling, Aggression and Cyberbullying (co-located with COLING), August 2018, pp. 150–158.

Segun Taofeek Aroyehun, Alexander Gelbukh, Aggression detection in social media: using deep neural networks, data augmentation, and pseudo labeling, in: Proceedings of the First Workshop on Trolling, Aggression and Cyberbullying, Santa Fe, USA, August 25, 2018, pp. 90–97.

Balakrishnan, 2019, Cyberbullying detection on twitter using Big Five and Dark Triad features, Pers. Individ. Differ., 141, 252, 10.1016/j.paid.2019.01.024

Chen, 2011

Cynthia Van Hee, Els Lefever, Ben Verhoeven, Julie Mennes, Bart Desmet, Guy De Pauw, Walter Daelemans, Vronique Hoste, Detection and fine-grained classification of cyberbullying events, in: Proceedings of International Conference Recent Advances in Natural Language Processing, RANLP, 2015, pp. 672–680.

Dinakar, 2012, Common sense reasoning for detection, prevention, and mitigation of cyberbullying, ACM Trans. Interact. Intell. Syst. (TiiS), 2, 18:1

Hardaker, 2013, Uh.... not to be nitpicky,,, but...the past tense of drag is dragged, not drug. an overview of trolling strategies, J. Lang. Aggress. Confl., 1, 58, 10.1075/jlac.1.1.04har

Todor Mihaylov, Georgi D. Georgiev, A.D. Ontotext, Preslav Nakov, Finding opinion manipulation trolls in news community forums, in: Proceedings of the Nineteenth Conference on Computational Natural Language Learning, CoNLL, 2015, pp. 310–314.

Mojica, 2016

Nobata, 2016, Abusive language detection in online user content, 145

Hamdy Mubarak, Kareem Darwish, Walid Magdy, Abusive language detection on arabic social media, in: Proceedings of the First Workshop on Abusive Language Online, 2017, pp. 52–56.

Prentice, 2011, Analyzing the semantic content and persuasive composition of extremist media: A case study of texts produced during the gaza conflict, Inf. Syst. Front., 13, 61, 10.1007/s10796-010-9272-y

Nitin, 2012

Schmidt, 2017, A survey on hate speech detection using natural language processing, 1

Greevy, 2004, Classifying racist texts using a support vector machine, 468

Malmasi, 2018, Challenges in discriminating profanity from hate speech, J. Exp. Theor. Artif. Intell., 30, 1, 10.1080/0952813X.2017.1409284

Huei-Po Su, Chen-Jie Huang, Hao-Tsung Chang, Chuan-Jie Lin, Rephrasing profanity in Chinese text, in: Proceedings of the Workshop Workshop on Abusive Language Online, ALW, Vancouver, Canada, 2017.

Basile, 2019, SemEval-2019 task 5: Multilingual detection of hate speech against immigrants and women in twitter, 54

Ritesh Kumar, Atul Kr. Ojha, Shervin Malmasi, Marcos Zampieri, Benchmarking aggression identification in social media, in: Proceedings of the Workshop on Trolling, Aggression and cyberbulling, TRAC.

Salawu, 2017, Approaches to automated detection of cyberbullying: A survey, IEEE Trans. Affect. Comput.

Badjatiya, 2017, Deep learning for hate speech detection in tweets, 759

Irene Kwok, Yuzhou Wang, Locate the hate: Detecting Tweets against Blacks, in: Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013.

Sreekanth Madisetty, Aggression detection in social media using deep neural networks, in: Proceedings of the First Workshop on Trolling, Aggression and Cyberbullying, Santa Fe, USA, August 25, 2018, pp. 120–127.

Ditch the Label, 2017

M. Sahlgren, et al. Learning representations for detecting abusive language, in: Proceedings of the 2nd workshop on abusive language online, ALW2, Brussels, 2018, pp. 115–123.

F. Chollet, 2015, keras, GitHub. https://github.com/fchollet/keras.

Abadi, 2016, Tensorflow: A system for large-scale machine learning, 265

Gregor Wiedemann, Eugen Ruppert, Raghav Jindal, Chris Biemann, Transfer learning from lda to bilstm-cnn for offensive language detection in twitter, in: Proceedings of the GermEval Workshop 2018, 2018.