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Twitter bot detection is vital in combating misinformation and safeguarding the integrity of social media discourse.
Fast graph representation learning with pytorch geometric
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Roberta: A robustly optimized bert pretraining approach
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Roberta: A robustly optimized BERT pretraining approach
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Detecting social bots by jointly modeling deep behavior and content information
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Seven months with the devils: A long-term study of content polluters on twitter
Kyumin Lee, Brian Eoff, and James Caverlee. 2011 · 2011
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People are strange when you’re a stranger: Impact and influence of bots on social networks
Luca Maria Aiello, Martina Deplano, Rossano Schifanella, and Giancarlo Ruffo. 2012 · 2012
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Privacy-preserving domain-flux botnet detection in a large scale network
Hachem Guerid, Karel Mittig, and Ahmed Serhrouchni. 2013 · 2013
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Efficient estimation of word representations in vector space
Tomás Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013 · 2013
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Vader: A parsimonious rule-based model for sentiment analysis of social media text
Clayton Hutto and Eric Gilbert. 2014 · 2014
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Twitter spammer detection using data stream clustering
Zachary Miller, Brian Dickinson, William Deitrick, Wei Hu, and Alex Hai Wang. 2014 · 2014
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Discussions in the comments section: Factors influencing participation and interactivity in online newspapers’ reader comments
Patrick Weber. 2014 · 2014
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Fame for sale: Efficient detection of fake twitter followers
Stefano Cresci, Roberto Di Pietro, Marinella Petrocchi, Angelo Spognardi, and Maurizio Tesconi. 2015 · 2015
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Political bots and the manipulation of public opinion in venezuela
Michelle Forelle, Phil Howard, Andrés Monroy-Hernández, and Saiph Savage. 2015 · 2015
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Distilling the knowledge in a neural network
Geoffrey Hinton, Oriol Vinyals, Jeff Dean, et al. 2015 · 2015
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Social bots distort the 2016 us presidential election online discussion
Alessandro Bessi and Emilio Ferrara. 2016 · 2016
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Debot: Twitter bot detection via warped correlation
Nikan Chavoshi, Hossein Hamooni, and Abdullah Mueen. 2016 · 2016
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Bots and automation over twitter during the us election
Philip N Howard, Bence Kollanyi, and Samuel Woolley. 2016 · 2016
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A new approach to bot detection: striking the balance between precision and recall
Fred Morstatter, Liang Wu, Tahora H Nazer, Kathleen M Carley, and Huan Liu. 2016 · 2016
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Automating power: Social bot interference in global politics
Samuel C Woolley. 2016 · 2016
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Junk news and bots during the french presidential election: What are french voters sharing over twitter?
Samantha Bradshaw, Bence Kollanyi, Clementine Desigaud, and Gillian Bolsover. 2017 · 2017
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The paradigm-shift of social spambots: Evidence, theories, and tools for the arms race
Stefano Cresci, Roberto Di Pietro, Marinella Petrocchi, Angelo Spognardi, and Maurizio Tesconi. 2017 · 2017
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Of bots and humans (on twitter)
Zafar Gilani, Reza Farahbakhsh, Gareth Tyson, Liang Wang, and Jon Crowcroft. 2017 · 2017
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On calibration of modern neural networks
Chuan Guo, Geoff Pleiss, Yu Sun, and Kilian Q Weinberger. 2017 · 2017
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Trump executive order on refugees and travel ban: A brief review
Sarah Pierce and Doris Meissner. 2017 · 2017
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The spread of fake news by social bots
Chengcheng Shao, Giovanni Luca Ciampaglia, Onur Varol, Alessandro Flammini, and Filippo Menczer. 2017 · 2017
Cited alongside, same era.
Online human-bot interactions: Detection, estimation, and characterization
Counter-radicalization bot research using social bots to fight violent extremism
William Marcellino, Madeline Magnuson, Anne Stickells, Benjamin Boudreaux, Todd C Helmus, Edward Geist, and Zev Winkelman. 2020 · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, Peter J Liu, et al. 2020 · 2020
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Detection of novel social bots by ensembles of specialized classifiers
Mohsen Sayyadiharikandeh, Onur Varol, Kai-Cheng Yang, Alessandro Flammini, and Filippo Menczer. 2020 · 2020
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Bot impacts on public sentiment and community structures: Comparative analysis of three elections in the asia-pacific
Joshua Uyheng and Kathleen M Carley. 2020 · 2020
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Fake news detection via knowledge-driven multimodal graph convolutional networks
Youze Wang, Shengsheng Qian, Jun Hu, Quan Fang, and Changsheng Xu. 2020 · 2020
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Onur Varol, Emilio Ferrara, Clayton Davis, Filippo Menczer, and Alessandro Flammini. 2017 · 2017
Cited alongside, same era.
$ fake: Evidence of spam and bot activity in stock microblogs on twitter
Stefano Cresci, Fabrizio Lillo, Daniele Regoli, Serena Tardelli, and Maurizio Tesconi. 2018 · 2018
Cited alongside, same era.
Lobo: Evaluation of generalization deficiencies in twitter bot classifiers
Juan Echeverrıa, Emiliano De Cristofaro, Nicolas Kourtellis, Ilias Leontiadis, Gianluca Stringhini, and Shi Zhou. 2018 · 2018
Cited alongside, same era.
Deep neural networks for bot detection
Sneha Kudugunta and Emilio Ferrara. 2018 · 2018
Cited alongside, same era.
Bots increase exposure to negative and inflammatory content in online social systems
Massimo Stella, Emilio Ferrara, and Manlio De Domenico. 2018 · 2018
Cited alongside, same era.
Detect me if you can: Spam bot detection using inductive representation learning
Seyed Ali Alhosseini, Raad Bin Tareaf, Pejman Najafi, and Christoph Meinel. 2019 · 2019
Cited alongside, same era.
Cashtag piggybacking: Uncovering spam and bot activity in stock microblogs on twitter
Stefano Cresci, Fabrizio Lillo, Daniele Regoli, Serena Tardelli, and Maurizio Tesconi. 2019 · 2019
Cited alongside, same era.
Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, et al. 2020 · 2020
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Scalable and generalizable social bot detection through data selection
Kai-Cheng Yang, Onur Varol, Pik-Mai Hui, and Filippo Menczer. 2020 · 2020
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On the dangers of stochastic parrots: Can language models be too big?
Emily M Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. 2021 · 2021
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Botrgcn: Twitter bot detection with relational graph convolutional networks
Shangbin Feng, Herun Wan, Ningnan Wang, and Minnan Luo. 2021c · 2021
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Social bots detection via fusing bert and graph convolutional networks
Qinglang Guo, Haiyong Xie, Yangyang Li, Wen Ma, and Chao Zhang. 2021 · 2021
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Towards understanding and mitigating social biases in language models
Paul Pu Liang, Chiyu Wu, Louis-Philippe Morency, and Ruslan Salakhutdinov. 2021 · 2021
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Are we really making much progress? revisiting, benchmarking and refining heterogeneous graph neural networks
Qingsong Lv, Ming Ding, Qiang Liu, Yuxiang Chen, Wenzheng Feng, Siming He, Chang Zhou, Jianguo Jiang, Yuxiao Dong, and Jie Tang. 2021 · 2021
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Stereoset: Measuring stereotypical bias in pretrained language models
Moin Nadeem, Anna Bethke, and Siva Reddy. 2021 · 2021
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Graph-less neural networks: Teaching old mlps new tricks via distillation
Shichang Zhang, Yozen Liu, Yizhou Sun, and Neil Shah. 2021 · 2021
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Bot-mgat: A transfer learning model based on a multi-view graph attention network to detect social bots
Eiman Alothali, Motamen Salih, Kadhim Hayawi, and Hany Alashwal. 2022 · 2022
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Detecting bots in social-networks using node and structural embeddings
Ashkan Dehghan, Kinga Siuta, Agata Skorupka, Akshat Dubey, Andrei Betlen, David Miller, Wei Xu, Bogumil Kaminski, and Pawel Pralat. 2022 · 2022
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Edits: Modeling and mitigating data bias for graph neural networks
Yushun Dong, Ninghao Liu, Brian Jalaian, and Jundong Li. 2022 · 2022
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Datavoidant: An ai system for addressing political data voids on social media
Claudia Flores-Saviaga, Shangbin Feng, and Saiph Savage. 2022 · 2022
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Deeprobot: a hybrid deep neural network model for social bot detection based on user profile data
Kadhim Hayawi, Sujith Mathew, Neethu Venugopal, Mohammad M Masud, and Pin-Han Ho. 2022 · 2022
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Social bot-aware graph neural network for early rumor detection
Zhen Huang, Zhilong Lv, Xiaoyun Han, Binyang Li, Menglong Lu, and Dongsheng Li. 2022 · 2022
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Bic: Twitter bot detection with text-graph interaction and semantic consistency
Zhenyu Lei, Herun Wan, Wenqian Zhang, Shangbin Feng, Zilong Chen, Qinghua Zheng, and Minnan Luo. 2022 · 2022
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Botbuster: Multi-platform bot detection using a mixture of experts
Lynnette Hui Xian Ng and Kathleen M Carley. 2022 · 2022
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Domain-aware federated social bot detection with multi-relational graph neural networks
Huailiang Peng, Yujun Zhang, Hao Sun, Xu Bai, Yangyang Li, and Shuhai Wang. 2022 · 2022
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Bot2vec: a general approach of intra-community oriented representation learning for bot detection in different types of social networks
Phu Pham, Loan TT Nguyen, Bay Vo, and Unil Yun. 2022 · 2022
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Should we agree to disagree about twitter’s bot problem?
Onur Varol. 2022 · 2022
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Botmoe: Twitter bot detection with community-aware mixtures of modal-specific experts
Yuhan Liu, Zhaoxuan Tan, Heng Wang, Shangbin Feng, Qinghua Zheng, and Minnan Luo. 2023 · 2023
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