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Large language models (LLMs) exhibit impressive capabilities in generating realistic text across diverse subjects.
Partisan asymmetries in online political activity
Michael D Conover, Bruno Gonçalves, Alessandro Flammini, and Filippo Menczer · 2012
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Debot: Twitter bot detection via warped correlation
Nikan Chavoshi, Hossein Hamooni, and Abdullah Mueen · 2016
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The rise of social bots
Emilio Ferrara, Onur Varol, Clayton Davis, Filippo Menczer, and Alessandro Flammini · 2016
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Of bots and humans (on Twitter)
Zafar Gilani, Reza Farahbakhsh, Gareth Tyson, Liang Wang, and Jon Crowcroft · 2017
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How to manipulate social media: Analyzing political astroturfing using ground truth data from south korea
Franziska Keller, David Schoch, Sebastian Stier, and JungHwan Yang · 2017
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Online human-bot interactions: Detection, estimation, and characterization
Onur Varol, Emilio Ferrara, Clayton A Davis, Filippo Menczer, and Alessandro Flammini · 2017
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The malicious use of artificial intelligence: Forecasting, prevention, and mitigation
Miles Brundage, Shahar Avin, Jack Clark, Helen Toner, Peter Eckersley, Ben Garfinkel, Allan Dafoe, Paul Scharre, Thomas Zeitzoff, Bobby Filar, et al · 2018
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Deep neural networks for bot detection
Sneha Kudugunta and Emilio Ferrara · 2018
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The spread of low-credibility content by social bots
Chengcheng Shao, Giovanni Luca Ciampaglia, Onur Varol, Kai-Cheng Yang, Alessandro Flammini, and Filippo Menczer · 2018
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Gltr: Statistical detection and visualization of generated text
Sebastian Gehrmann, Hendrik Strobelt, and Alexander M Rush · 2019
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Malicious Actors on Twitter: A Guide for Public Health Researchers
Amelia M. Jamison, David A. Broniatowski, and Sandra Crouse Quinn · 2019
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A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila · 2019
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Arming the public with artificial intelligence to counter social bots
Kai-Cheng Yang, Onur Varol, Clayton A Davis, Emilio Ferrara, Alessandro Flammini, and Filippo Menczer · 2019
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Demystifying social bots: On the intelligence of automated social media actors
Dennis Assenmacher, Lena Clever, Lena Frischlich, Thorsten Quandt, Heike Trautmann, and Christian Grimme · 2020
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A decade of social bot detection
Stefano Cresci · 2020
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Characterizing social media manipulation in the 2020 us presidential election
Emilio Ferrara, Herbert Chang, Emily Chen, Goran Muric, and Jaimin Patel · 2020
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Coordinated link sharing behavior as a signal to surface sources of problematic information on facebook
Fabio Giglietto, Nicola Righetti, Luca Rossi, and Giada Marino · 2020
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Using bert to extract topic-independent sentiment features for social media bot detection
Maryam Heidari and James H Jones · 2020
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Analyzing and improving the image quality of stylegan
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 2020
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Political astroturfing on twitter: How to coordinate a disinformation campaign
Franziska B Keller, David Schoch, Sebastian Stier, and JungHwan Yang · 2020
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All the news that’s fit to fabricate: Ai-generated text as a tool of media misinformation
Sarah Kreps, R. Miles McCain, and Miles Brundage · 2020
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Twitter Discourses on Climate Change: Exploring Topics and the Presence of Bots
Thomas Marlow, Sean Miller, and J. Timmons Roberts · 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
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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
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On the opportunities and risks of foundation models
Rishi Bommasani, Drew A Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, et al · 2021
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Truth, lies, and automation: How language models could change disinformation
Ben Buchanan, Andrew Lohn, and Micah Musser · 2021
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All that’s ‘human’is not gold: Evaluating human evaluation of generated text
Elizabeth Clark, Tal August, Sofia Serrano, Nikita Haduong, Suchin Gururangan, and Noah A Smith · 2021
Cited alongside, same era.
Tweepfake: About detecting deepfake tweets
Tiziano Fagni, Fabrizio Falchi, Margherita Gambini, Antonio Martella, and Maurizio Tesconi · 2021
Cited alongside, same era.
Feature-based detection of automated language models: tackling gpt-2, gpt-3 and grover
Leon Fröhling and Arkaitz Zubiaga · 2021
Cited alongside, same era.
Coordinated behavior on social media in 2019 UK general election
Leonardo Nizzoli, Serena Tardelli, Marco Avvenuti, Stefano Cresci, and Maurizio Tesconi · 2021
Cited alongside, same era.
Uncovering coordinated networks on social media: Methods and case studies
Diogo Pacheco, Pik-Mai Hui, Christopher Torres-Lugo, Bao Tran Truong, Alessandro Flammini, and Filippo Menczer · 2021
Cited alongside, same era.
Hans WA Hanley and Zakir Durumeric · 2023
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Large language models can be used to effectively scale spear phishing campaigns
Julian Hazell · 2023
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Human heuristics for ai-generated language are flawed
Maurice Jakesch, Jeffrey T. Hancock, and Mor Naaman · 2023
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Darkbert: A language model for the dark side of the internet
Youngjin Jin, Eugene Jang, Jian Cui, Jin-Woo Chung, Yongjae Lee, and Seungwon Shin · 2023
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Chatgpt for good? on opportunities and challenges of large language models for education
Enkelejda Kasneci, Kathrin Seßler, Stefan Küchemann, Maria Bannert, Daryna Dementieva, Frank Fischer, Urs Gasser, Georg Groh, Stephan Günnemann, Eyke Hüllermeier, et al · 2023
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Automated identification of social media bots using deepfake text detection
Sina Mahdipour Saravani, Indrajit Ray, and Indrakshi Ray · 2021
Cited alongside, same era.
Weaponized ai for cyber attacks
Muhammad Mudassar Yamin, Mohib Ullah, Habib Ullah, and Basel Katt · 2021
Cited alongside, same era.
Machine generated text: A comprehensive survey of threat models and detection methods
Evan Crothers, Nathalie Japkowicz, and Herna Viktor · 2022
Cited alongside, same era.
On pushing deepfake tweet detection capabilities to the limits
Margherita Gambini, Tiziano Fagni, Fabrizio Falchi, and Maurizio Tesconi · 2022
Cited alongside, same era.
New automation for social bots: From trivial behavior to ai-powered communication
Christian Grimme, Janina Pohl, Stefano Cresci, Ralf Lüling, and Mike Preuss · 2022
Cited alongside, same era.
The emerging threat of ai-driven cyber attacks: A review
Blessing Guembe, Ambrose Azeta, Sanjay Misra, Victor Chukwudi Osamor, Luis Fernandez-Sanz, and Vera Pospelova · 2022
Cited alongside, same era.
Ai-synthesized faces are indistinguishable from real faces and more trustworthy
Sophie J Nightingale and Hany Farid · 2022
Cited alongside, same era.
Closest in time.
A watermark for large language models
John Kirchenbauer, Jonas Geiping, Yuxin Wen, Jonathan Katz, Ian Miers, and Tom Goldstein · 2023
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Paraphrasing evades detectors of ai-generated text, but retrieval is an effective defense
Kalpesh Krishna, Yixiao Song, Marzena Karpinska, John Wieting, and Mohit Iyyer · 2023
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Fundamentals of generative large language models and perspectives in cyber-defense
Andrei Kucharavy, Zachary Schillaci, Loïc Maréchal, Maxime Würsch, Ljiljana Dolamic, Remi Sabonnadiere, Dimitri Percia David, Alain Mermoud, and Vincent Lenders · 2023
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Stylometric detection of ai-generated text in twitter timelines
Tharindu Kumarage, Joshua Garland, Amrita Bhattacharjee, Kirill Trapeznikov, Scott Ruston, and Huan Liu · 2023
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Camel: Communicative agents for” mind” exploration of large scale language model society
Guohao Li, Hasan Abed Al Kader Hammoud, Hani Itani, Dmitrii Khizbullin, and Bernard Ghanem · 2023
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Gpt detectors are biased against non-native english writers
Weixin Liang, Mert Yuksekgonul, Yining Mao, Eric Wu, and James Zou · 2023
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Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing
Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, and Graham Neubig · 2023
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Addressing the harms of AI-generated inauthentic content
Filippo Menczer, David Crandall, Yong-Yeol Ahn, and Apu Kapadia · 2023
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Detectgpt: Zero-shot machine-generated text detection using probability curvature
Eric Mitchell, Yoonho Lee, Alexander Khazatsky, Christopher D Manning, and Chelsea Finn · 2023
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Ai text classifier
OpenAI · 2023
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Generative agents: Interactive simulacra of human behavior
Joon Sung Park, Joseph C O’Brien, Carrie J Cai, Meredith Ringel Morris, Percy Liang, and Michael S Bernstein · 2023
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Is ChatGPT a general-purpose natural language processing task solver?
Chengwei Qin, Aston Zhang, Zhuosheng Zhang, Jiaao Chen, Michihiro Yasunaga, and Diyi Yang · 2023
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Can ai-generated text be reliably detected?
Vinu Sankar Sadasivan, Aounon Kumar, Sriram Balasubramanian, Wenxiao Wang, and Soheil Feizi · 2023
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Ai model gpt-3 (dis) informs us better than humans
Giovanni Spitale, Nikola Biller-Andorno, and Federico Germani · 2023
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The science of detecting LLM-generated texts
Ruixiang Tang, Yu-Neng Chuang, and Xia Hu · 2023
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Voyager: An open-ended embodied agent with large language models
Guanzhi Wang, Yuqi Xie, Yunfan Jiang, Ajay Mandlekar, Chaowei Xiao, Yuke Zhu, Linxi Fan, and Anima Anandkumar · 2023
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Harnessing the power of llms in practice: A survey on chatgpt and beyond
Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Bing Yin, and Xia Hu · 2023
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A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models
Junjie Ye, Xuanting Chen, Nuo Xu, Can Zu, Zekai Shao, Shichun Liu, Yuhan Cui, Zeyang Zhou, Chao Gong, Yang Shen, et al · 2023
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Protecting language generation models via invisible watermarking
Xuandong Zhao, Yu-Xiang Wang, and Lei Li · 2023
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Synthetic lies: Understanding ai-generated misinformation and evaluating algorithmic and human solutions
Jiawei Zhou, Yixuan Zhang, Qianni Luo, Andrea G Parker, and Munmun De Choudhury · 2023
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