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The dramatic increase in the use of social media platforms for information sharing has also fueled a steep growth in online abuse.
Supervised multimodal bitransformers for classifying images and text
Douwe Kiela, Suvrat Bhooshan, Hamed Firooz, Ethan Perez, and Davide Testuggine. 2019 · 1909
Earlier work this paper cites.
Hate speech in pixels: Detection of offensive memes towards automatic moderation
Benet Oriol Sabat, Cristian Canton Ferrer, and Xavier Giro-i Nieto. 2019 · 1910
Earlier work this paper cites.
Examining characteristics and associated distress related to internet harassment: findings from the second youth internet safety survey
Michele L Ybarra, Kimberly J Mitchell, Janis Wolak, and David Finkelhor. 2006 · 2006
Earlier work this paper cites.
Mann-whitney u test
Patrick E McKnight and Julius Najab. 2010 · 2010
Earlier work this paper cites.
Riza Velioglu and Jewgeni Rose. 2020 · 2012
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman. 2014 · 2014
Earlier work this paper cites.
Empath: Understanding topic signals in large-scale text
Ethan Fast, Binbin Chen, and Michael S Bernstein. 2016 · 2016
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016 · 2016
Earlier work this paper cites.
Moderators who had to view child abuse content sue microsoft, claiming ptsd
The Guardian. 2017 · 2017
Earlier work this paper cites.
Youtube is facing a full-scale advertising boycott over hate speech
N Statt. 2017 · 2017
Earlier work this paper cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
J. Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Earlier work this paper cites.
Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks
Jiasen Lu, Dhruv Batra, Devi Parikh, and Stefan Lee. 2019 · 2019
Earlier work this paper cites.
Multilingual and multi-aspect hate speech analysis
Nedjma Ousidhoum, Zizheng Lin, Hongming Zhang, Yangqiu Song, and Dit-Yan Yeung. 2019 · 2019
Earlier work this paper cites.
Hate speech harms: a social justice discussion of disabled norwegians’ experiences
Janikke Solstad Vedeler, Terje Olsen, and John Eriksen. 2019 · 2019
Earlier work this paper cites.
Uniter: Universal image-text representation learning
Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy, Faisal Ahmed, Zhe Gan, Yu Cheng, and Jingjing Liu. 2020 · 2020
Cited alongside, same era.
Unsupervised cross-lingual representation learning at scale
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Édouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov. 2020 · 2020
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Exploring hate speech detection in multimodal publications
Raul Gomez, Jaume Gibert, Lluis Gomez, and Dimosthenis Karatzas. 2020 · 2020
Cited alongside, same era.
Classification benchmarks for under-resourced bengali language based on multichannel convolutional-lstm network
Md Rezaul Karim, Bharathi Raja Chakravarthi, John P McCrae, and Michael Cochez. 2020 · 2020
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The hateful memes challenge: Detecting hate speech in multimodal memes
Douwe Kiela, Hamed Firooz, Aravind Mohan, Vedanuj Goswami, Amanpreet Singh, Pratik Ringshia, and Davide Testuggine. 2020 · 2020
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Momenta: A multimodal framework for detecting harmful memes and their targets
Shraman Pramanick, Shivam Sharma, Dimitar Dimitrov, Md Shad Akhtar, Preslav Nakov, and Tanmoy Chakraborty. 2021b · 2021
Later among the works it cites.
Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al. 2021 · 2021
Later among the works it cites.
Bnlp: Natural language processing toolkit for bengali language
Sagor Sarker. 2021 · 2021
Later among the works it cites.
Banglabert: Lagnuage model pretraining and benchmarks for low-resource language understanding evaluation in bangla
Abhik Bhattacharjee, Tahmid Hasan, Wasi Ahmad Uddin, Kazi Mubasshir, Md Saiful Islam, Anindya Iqbal, M Sohel Rahman, and Rifat Shahriyar. 2022 · 2022
Later among the works it cites.
Bengali language
T Britannica. 2022 · 2022
Later among the works it cites.
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What does bert with vision look at?
Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, and Kai-Wei Chang. 2020 · 2020
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Multimodal meme dataset (multioff) for identifying offensive content in image and text
Shardul Suryawanshi, Bharathi Raja Chakravarthi, Mihael Arcan, and Paul Buitelaar. 2020 · 2020
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“subverting the jewtocracy”: Online antisemitism detection using multimodal deep learning
Mohit Chandra, Dheeraj Pailla, Himanshu Bhatia, Aadilmehdi Sanchawala, Manish Gupta, Manish Shrivastava, and Ponnurangam Kumaraguru. 2021 · 2021
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby. 2021 · 2021
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An expert annotated dataset for the detection of online misogyny
Ella Guest, Bertie Vidgen, Alexandros Mittos, Nishanth Sastry, Gareth Tyson, and Helen Margetts. 2021 · 2021
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Fairface: Face attribute dataset for balanced race, gender, and age for bias measurement and mitigation
Kimmo Karkkainen and Jungseock Joo. 2021 · 2021
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Muril: Multilingual representations for indian languages
Simran Khanuja, Diksha Bansal, Sarvesh Mehtani, Savya Khosla, Atreyee Dey, Balaji Gopalan, Dilip Kumar Margam, Pooja Aggarwal, Rajiv Teja Nagipogu, Shachi Dave, et al. 2021 · 2021
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Data bootstrapping approaches to improve low resource abusive language detection for indic languages
Mithun Das, Somnath Banerjee, and Animesh Mukherjee. 2022 · 2022
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Meng-Hao Guo, Cheng-Ze Lu, Zheng-Ning Liu, Ming-Ming Cheng, and Shi-Min Hu. 2022 · 2022
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Mute: A multimodal dataset for detecting hateful memes
Eftekhar Hossain, Omar Sharif, and Mohammed Moshiul Hoque. 2022 · 2022
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Multimodal hate speech detection from bengali memes and texts
Md Karim, Sumon Kanti Dey, Tanhim Islam, Md Shajalal, Bharathi Raja Chakravarthi, et al. 2022 · 2022
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Gokul Karthik Kumar and Karthik Nanadakumar. 2022 · 2022
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A multitask framework for sentiment, emotion and sarcasm aware cyberbullying detection from multi-modal code-mixed memes
Krishanu Maity, Prince Jha, Sriparna Saha, and Pushpak Bhattacharyya. 2022 · 2022
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The Most Spoken Languages in the World | Berlitz — berlitz.com
2023
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Toward cultural bias evaluation datasets: The case of bengali gender, religious, and national identity
Dipto Das, Shion Guha, and Bryan Semaan. 2023 · 2023
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