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Developing an online hate classifier for multiple social media platforms

Joni Salminen, Maximilian Hopf, Shammur A. Chowdhury, Soon-gyo Jung, Hind Almerekhi, Bernard J. Jansen
2020 Human-Centric Computing and Information Sciences  
[12] , has been identified as a major threat on online social media platforms.  ...  Social media platforms are the most prominent grounds for such toxic behavior.  ...  hate research, as well as Julia Silge (Stack Overflow) and Jennifer Golbeck (University of Maryland) for providing online hate datasets for review.  ... 
doi:10.1186/s13673-019-0205-6 fatcat:bxtxixg5hre5hjr22ojj26fa34

Leveraging cross-platform data to improve automated hate speech detection [article]

John D Gallacher
2021 arXiv   pre-print
In particular, most existing approaches for hate speech detection focus on a single social media platform in isolation.  ...  Here we propose a new cross-platform approach to detect hate speech which leverages multiple datasets and classification models from different platforms and trains a superlearner that can combine existing  ...  Acknowledgements We thank Davidson et al (2017 ), de Gibert et al (2018 , Quian et al (2019) , , and Pushift.io for making their data available and also the research assistants who helped annotate the  ... 
arXiv:2102.04895v1 fatcat:aqisw4xknjhllm5csaqxc4fymy

Hate speech: A quality of service challenge

Andre Oboler, Karen Connelly
2014 2014 IEEE Conference on e-Learning, e-Management and e-Services (IC3e)  
There is an increasing demand for social media platforms to empower users with tools to report hate speech and other forms of dangerous content.  ...  The use of social media has become pervasive across many aspects of our lives. We now depend on social media platforms more than ever before.  ...  Expectations across a range of requirements can be outlined in a QoS policy for an e-Service [2] . Social media companies have ensured their platforms are built for growth.  ... 
doi:10.1109/ic3e.2014.7081252 fatcat:vgx6756odzd5zf236bs5rzj73e

Online hate network spreads malicious COVID-19 content outside the control of individual social media platforms

N. Velásquez, R. Leahy, N. Johnson Restrepo, Y. Lupu, R. Sear, N. Gabriel, O. K. Jha, B. Goldberg, N. F. Johnson
2021 Scientific Reports  
We provide a first mapping of the online hate network across six major social media platforms.  ...  media platform.  ...  We find that the coherence The online hate multiverse comprises separate social media platforms that interconnect over time via dynamic connections created by hyperlinks from clusters on one platform into  ... 
doi:10.1038/s41598-021-89467-y pmid:34131158 fatcat:2mnrfubtuves5bczyyq7i5lwdm

Hate Speech Detection in Ethiopian Social Media Text

Arefat Hyeredin
2020 Zenodo  
This is a research proposal on hate speech detection in ethiopian social media text.  ...  While social media provides an important avenue for communication and sharing, it also acts as a means of spreading hate speech online.  ...  sentiment mining to classify social media texts • Develop necessary algorithms to realize the proposed model in developing a sentiment mining model to detect hate speech • Building domain specific and  ... 
doi:10.5281/zenodo.3677486 fatcat:vv7yykwklfal7j6ah2u3hptmbi

Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective

Svetlana Kiritchenko, Isar Nejadgholi, Kathleen C. Fraser
2021 The Journal of Artificial Intelligence Research  
Guided by these principles, we identify several opportunities for rights-respecting, socio-technical solutions to detect and confront online abuse, including 'nudging', 'quarantining', value sensitive  ...  Guided by these principles, we identify several opportunities for rights-respecting, socio-technical solutions to detect and confront online abuse, including 'nudging', 'quarantining', value sensitive  ...  Currently, 'online information intermediaries' or, in other words, social media platforms, are almost solely responsible for their own content moderation.  ... 
doi:10.1613/jair.1.12590 fatcat:qi3apw2e7nh47enrpwazkcsexu

Applying Social Media Intelligence for Predicting and Identifying On-line Radicalization and Civil Unrest Oriented Threats [article]

Swati Agarwal, Ashish Sureka
2015 arXiv   pre-print
Applying social media intelligence for predicting and identifying online radicalization and civil unrest oriented threats is an area that has attracted several researchers' attention over past 10 years  ...  Research shows that various social media platforms on Internet such as Twitter, Tumblr (micro-blogging websites), Facebook (a popular social networking website), YouTube (largest video sharing and hosting  ...  Link defines the relation between two user profile which can be different for different social media platforms.  ... 
arXiv:1511.06858v1 fatcat:s3gpwc6ugbfrlj2wmqc6udhzhy

Antisemitism on Twitter: Collective Efficacy and the Role of Community Organisations in Challenging Online Hate Speech

Sefa Ozalp, Matthew L. Williams, Pete Burnap, Han Liu, Mohamed Mostafa
2020 Social Media + Society  
This study is the first to demonstrate that Sampson's classic sociological concept of collective efficacy can be observed on social media (SM).  ...  We trained a scalable supervised machine learning classifier to identify antisemitic content to reveal patterns of online antisemitism perpetration at the source.  ...  His research interests include online antagonism, data mining, applications of social data science, machine learning, big data and high-performance computing, quantitative criminology, and computational  ... 
doi:10.1177/2056305120916850 fatcat:chpsm6gxp5e37fs27qdiwxm5wi

Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective [article]

Svetlana Kiritchenko, Isar Nejadgholi, Kathleen C. Fraser
2020 arXiv   pre-print
Guided by these principles, we identify several opportunities for rights-respecting, socio-technical solutions to detect and confront online abuse, including 'nudging', 'quarantining', value sensitive  ...  Significant effort in Natural Language Processing (NLP) research has been devoted to addressing this problem through abusive content detection and related sub-areas, such as the detection of hate speech  ...  Currently, 'online information intermediaries' or, in other words, social media platforms, are almost solely responsible for their own content moderation.  ... 
arXiv:2012.12305v1 fatcat:e7lgvvmpxfd2fms4x6dejhi5te

Social Media Forensics for Hate Speech Opinion Mining

George Wafula, Andrew M.
2016 International Journal of Computer Applications  
CONCLUSION The research project provided an opportunity for performing digital forensics for hate speech on social media web forums.  ...  Social Media Forensics for Hate Speech Opinion Mining relates to the scientific application of cyber forensics tools to social media web forums to extract, identify and document hate speech.  ... 
doi:10.5120/ijca2016912258 fatcat:w2jsvhahvvh75fujtfecqke57a

Online Extremism Detection: A Systematic Literature Review with Emphasis on Datasets, Classification Techniques, Validation Methods and Tools

Mayur Gaikwad, Swati Ahirrao, Shraddha Phansalkar, Ketan Kotecha
2021 IEEE Access  
The review opens the research opportunities for developing an online, publicly available automated tool for extremism data collection and detection.  ...  The survey highlights the role of social media in propagating online radicalization and the need for extremism detection on social media platforms.  ...  The increasing use of social media platforms necessitates the development of the online extremism detection on social media platforms to help the regulatory agencies, automatically pinpointing extremist  ... 
doi:10.1109/access.2021.3068313 fatcat:56xuyhtuxvdsxf7s7s5i3jvvbe

Suspicious Online Forum Data Detection

Anant Chourasia
2020 Bioscience Biotechnology Research Communications  
Hate speech is currently an interest in the domain of social media.  ...  So, one of the most difficult issues for NLP researchers and programmers is to develop an algorithm that can detect text with hate speech automatically and efficiently from its specific contents.  ...  social media.  ... 
doi:10.21786/bbrc/13.14/6 fatcat:pz42wnryb5d5lnlf6knvqtgvrq

Multimodal Hate Speech Detection in Greek Social Media

Konstantinos Perifanos, Dionysis Goutsos
2021 Multimodal Technologies and Interaction  
Hateful and abusive speech presents a major challenge for all online social media platforms.  ...  Our contribution includes the development of a new dataset for hate speech classification, consisting of tweet IDs, along with the code to obtain their visual appearance, as they would have been rendered  ...  Data Availability Statement: The dataset of the tweet IDs we used for this work can be found at https://github.com/kperi/MultimodalHateSpeechDetection (accessed on 12 March 2021).  ... 
doi:10.3390/mti5070034 fatcat:guiihz4zlna5bcawgckgnvsara

Detecting Abusive Language on Online Platforms: A Critical Analysis [article]

Preslav Nakov, Vibha Nayak, Kyle Dent, Ameya Bhatawdekar, Sheikh Muhammad Sarwar, Momchil Hardalov, Yoan Dinkov, Dimitrina Zlatkova, Guillaume Bouchard, Isabelle Augenstein
2021 arXiv   pre-print
There are many different forms of abusive language such as hate speech, profanity, and cyber-bullying, and online platforms seek to moderate it in order to limit societal harm, to comply with legislation  ...  We thus survey existing methods as well as content moderation policies by online platforms in this light, and we suggest directions for future work.  ...  Thus, abusive language in social media is of particular concern to online communities, governments, and especially social media platforms.  ... 
arXiv:2103.00153v1 fatcat:6757k5kt6fe3fml6prmgdkxf5u

Online Shaming via Social Media using Machine Learning: A Survey

Dige Vaishnavi A
2021 International Journal for Research in Applied Science and Engineering Technology  
The major social networking sites have become a target platform for users to disperse a large amount of irrelevant and unwanted information.  ...  User interactions with these social sites, like twitter have tremendous and occasionally undesirable impact implications for daily life.  ...  Given the steadily growing body of social media content, the amount of online hate speech is also increasing.  ... 
doi:10.22214/ijraset.2021.32964 fatcat:62cmgbhqhnbkzpqo77mo4udbqm
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