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Social media bot detection has always been an arms race between advancements in machine learning bot detectors and adversarial bot strategies to evade detection.
Language models are few-shot learners
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Roberta: A robustly optimized bert pretraining approach
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Huggingface’s transformers: State-of-the-art natural language processing
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The probabilistic relevance framework: Bm25 and beyond
Stephen Robertson, Hugo Zaragoza, et al. 2009 · 2009
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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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Predicting online extremism, content adopters, and interaction reciprocity
Emilio Ferrara, Wen-Qiang Wang, Onur Varol, Alessandro Flammini, and Aram Galstyan. 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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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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On calibration of modern neural networks
Chuan Guo, Geoff Pleiss, Yu Sun, and Kilian Q Weinberger. 2017 · 2017
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Lobo: Evaluation of generalization deficiencies in twitter bot classifiers
Juan Echeverr a, Emiliano De Cristofaro, Nicolas Kourtellis, Ilias Leontiadis, Gianluca Stringhini, and Shi Zhou. 2018 · 2018
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Deep neural networks for bot detection
Sneha Kudugunta and Emilio Ferrara. 2018 · 2018
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Graph attention networks
Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, and Yoshua Bengio. 2018 · 2018
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Rtbust: Exploiting temporal patterns for botnet detection on twitter
Michele Mazza, Stefano Cresci, Marco Avvenuti, Walter Quattrociocchi, and Maurizio Tesconi. 2019 · 2019
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Detecting political bots on twitter during the 2019 finnish parliamentary election
Sippo Rossi, Matti Rossi, Bikesh Raj Upreti, and Yong Liu. 2020 · 2019
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Twitter bot detection using bidirectional long short-term memory neural networks and word embeddings
Feng Wei and Uyen Trang Nguyen. 2019 · 2019
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Covid-19 and the “film your hospital” conspiracy theory: Social network analysis of twitter data
Wasim Ahmed, Francesc López Seguí, Josep Vidal-Alaball, and Matthew S Katz. 2020 · 2020
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Language (technology) is power: A critical survey of “bias” in NLP
Su Lin Blodgett, Solon Barocas, Hal Daumé III, and Hanna Wallach. 2020 · 2020
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A decade of social bot detection
Stefano Cresci. 2020 · 2020
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Are you human? detecting bots on twitter using bert
David Dukić, Dominik Keča, and Dominik Stipić. 2020 · 2020
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What types of covid-19 conspiracies are populated by twitter bots?
Emilio Ferrara. 2020 · 2020
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GCAN: Graph-aware co-attention networks for explainable fake news detection on social media
Yi-Ju Lu and Cheng-Te Li. 2020 · 2020
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Counter-radicalization bot research
William Marcellino, Madeline Magnuson, Anne Stickells, Benjamin Boudreaux, Todd C Helmus, Edward Geist, and Zev Winkelman. 2020 · 2020
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Demoting racial bias in hate speech detection
Mengzhou Xia, Anjalie Field, and Yulia Tsvetkov. 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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Documenting large webtext corpora: A case study on the colossal clean crawled corpus
Jesse Dodge, Maarten Sap, Ana Marasović, William Agnew, Gabriel Ilharco, Dirk Groeneveld, Margaret Mitchell, and Matt Gardner. 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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On transferability of bias mitigation effects in language model fine-tuning
Xisen Jin, Francesco Barbieri, Brendan Kennedy, Aida Mostafazadeh Davani, Leonardo Neves, and Xiang Ren. 2021 · 2021
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Cross-platform spread: vaccine-related content, sources, and conspiracy theories in youtube videos shared in early twitter covid-19 conversations
Tamar Ginossar, Iain J Cruickshank, Elena Zheleva, Jason Sulskis, and Tanya Berger-Wolf. 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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MetaICL: Learning to learn in context
Sewon Min, Mike Lewis, Luke Zettlemoyer, and Hannaneh Hajishirzi. 2022a · 2022
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Rethinking the role of demonstrations: What makes in-context learning work?
Sewon Min, Xinxi Lyu, Ari Holtzman, Mikel Artetxe, Mike Lewis, Hannaneh Hajishirzi, and Luke Zettlemoyer. 2022b · 2022
Cited alongside, same era.
Cross-platform information spread during the january 6th capitol riots
Lynnette Hui Xian Ng, Iain J Cruickshank, and Kathleen M Carley. 2022 · 2022
Cited alongside, same era.
Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al. 2022 · 2022
Cited alongside, same era.
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
Cited alongside, same era.
Towards reliable misinformation mitigation: Generalization, uncertainty, and gpt-4
Kellin Pelrine, Anne Imouza, Camille Thibault, Meilina Reksoprodjo, Caleb Alexander Gupta, Joel Christoph, Jean-François Godbout, and Reihaneh Rabbany. 2023 · 2023
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Generative ai for hate speech detection: Evaluation and findings
Sagi Pendzel, Tomer Wullach, Amir Adler, and Einat Minkov. 2023 · 2023
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On the zero-shot generalization of machine-generated text detectors
Xiao Pu, Jingyu Zhang, Xiaochuang Han, Yulia Tsvetkov, and Tianxing He. 2023 · 2023
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Probing llms for hate speech detection: strengths and vulnerabilities
Sarthak Roy, Ashish Harshvardhan, Animesh Mukherjee, and Punyajoy Saha. 2023 · 2023
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Quantifying language models’ sensitivity to spurious features in prompt design or: How i learned to start worrying about prompt formatting
Melanie Sclar, Yejin Choi, Yulia Tsvetkov, and Alane Suhr. 2023 · 2023
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Taxonomy of risks posed by language models
Laura Weidinger, Jonathan Uesato, Maribeth Rauh, Conor Griffin, Po-Sen Huang, John Mellor, Amelia Glaese, Myra Cheng, Borja Balle, Atoosa Kasirzadeh, et al. 2022 · 2022
Cited alongside, same era.
Botometer 101: Social bot practicum for computational social scientists
Kai-Cheng Yang, Emilio Ferrara, and Filippo Menczer. 2022 · 2022
Cited alongside, same era.
Vibhor Agarwal, Yu Chen, and Nishanth Sastry. 2023 · 2023
Cited alongside, same era.
Can llm-generated misinformation be detected?
Canyu Chen and Kai Shu. 2023 · 2023
Cited alongside, same era.
Flashattention-2: Faster attention with better parallelism and work partitioning
Tri Dao. 2023 · 2023
Cited alongside, same era.
Detecting bots in social-networks using node and structural embeddings
Ashkan Dehghan, Kinga Siuta, Agata Skorupka, Akshat Dubey, Andrei Betlen, David Miller, Wei Xu, Bogumił Kamiński, and Paweł Prałat. 2023 · 2023
Cited alongside, same era.
From pretraining data to language models to downstream tasks: Tracking the trails of political biases leading to unfair NLP models
Shangbin Feng, Chan Young Park, Yuhan Liu, and Yulia Tsvetkov. 2023 · 2023
Cited alongside, same era.
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People make better edits: Measuring the efficacy of llm-generated counterfactually augmented data for harmful language detection
Indira Sen, Dennis Assenmacher, Mattia Samory, Isabelle Augenstein, Wil Aalst, and Claudia Wagner. 2023 · 2023
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On second thought, let’s not think step by step! bias and toxicity in zero-shot reasoning
Omar Shaikh, Hongxin Zhang, William Held, Michael Bernstein, and Diyi Yang. 2023 · 2023
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From chaos to clarity: Claim normalization to empower fact-checking
Megha Sundriyal, Tanmoy Chakraborty, and Preslav Nakov. 2023 · 2023
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Botpercent: Estimating bot populations in twitter communities
Zhaoxuan Tan, Shangbin Feng, Melanie Sclar, Herun Wan, Minnan Luo, Yejin Choi, and Yulia Tsvetkov. 2023 · 2023
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User modeling in the era of large language models: Current research and future directions
Zhaoxuan Tan and Meng Jiang. 2023 · 2023
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al. 2023 · 2023
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Detecting and correcting hate speech in multimodal memes with large visual language model
Minh-Hao Van and Xintao Wu. 2023 · 2023
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Disinformation capabilities of large language models
Ivan Vykopal, Matúš Pikuliak, Ivan Srba, Robert Moro, Dominik Macko, and Maria Bielikova. 2023 · 2023
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Evaluating gpt-3 generated explanations for hateful content moderation
Han Wang, Ming Shan Hee, Md Rabiul Awal, Kenny Tsu Wei Choo, and Roy Ka-Wei Lee. 2023 · 2023
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Explainable claim verification via knowledge-grounded reasoning with large language models
Haoran Wang and Kai Shu. 2023 · 2023
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Fake news in sheep’s clothing: Robust fake news detection against llm-empowered style attacks
Jiaying Wu and Bryan Hooi. 2023 · 2023
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Rongwu Xu, Brian S Lin, Shujian Yang, Tianqi Zhang, Weiyan Shi, Tianwei Zhang, Zhixuan Fang, Wei Xu, and Han Qiu. 2023 · 2023
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Hare: Explainable hate speech detection with step-by-step reasoning
Yongjin Yang, Joonkee Kim, Yujin Kim, Namgyu Ho, James Thorne, and Se-Young Yun. 2023 · 2023
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Hofa: Twitter bot detection with homophily-oriented augmentation and frequency adaptive attention
Sen Ye, Zhaoxuan Tan, Zhenyu Lei, Ruijie He, Hongrui Wang, Qinghua Zheng, and Minnan Luo. 2023 · 2023
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Mitigating biases in hate speech detection from a causal perspective
Zhehao Zhang, Jiaao Chen, and Diyi Yang. 2023 · 2023
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Can large language models transform computational social science?
Caleb Ziems, Omar Shaikh, Zhehao Zhang, William Held, Jiaao Chen, and Diyi Yang. 2023 · 2023
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Unlimiformer: Long-range transformers with unlimited length input
Amanda Bertsch, Uri Alon, Graham Neubig, and Matthew Gormley. 2024 · 2024
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Lmbot: distilling graph knowledge into language model for graph-less deployment in twitter bot detection
Zijian Cai, Zhaoxuan Tan, Zhenyu Lei, Zifeng Zhu, Hongrui Wang, Qinghua Zheng, and Minnan Luo. 2024 · 2024
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Automated claim matching with large language models: empowering fact-checkers in the fight against misinformation
Eun Cheol Choi and Emilio Ferrara. 2024 · 2024
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Qlora: Efficient finetuning of quantized llms
Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, and Luke Zettlemoyer. 2024 · 2024
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Bad actor, good advisor: Exploring the role of large language models in fake news detection
Beizhe Hu, Qiang Sheng, Juan Cao, Yuhui Shi, Yang Li, Danding Wang, and Peng Qi. 2024 · 2024
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Disinformation detection: An evolving challenge in the age of llms
Bohan Jiang, Zhen Tan, Ayushi Nirmal, and Huan Liu. 2024 · 2024
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Leveraging large language models to detect influence campaigns on social media
Luca Luceri, Eric Boniardi, and Emilio Ferrara. 2024 · 2024
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Moderating new waves of online hate with chain-of-thought reasoning in large language models
Nishant Vishwamitra, Keyan Guo, Farhan Tajwar Romit, Isabelle Ondracek, Long Cheng, Ziming Zhao, and Hongxin Hu. 2024 · 2024
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Can language models solve graph problems in natural language?
Heng Wang, Shangbin Feng, Tianxing He, Zhaoxuan Tan, Xiaochuang Han, and Yulia Tsvetkov. 2024 · 2024
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