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The ability of Large Language Models (LLMs) to mimic human behavior triggered a plethora of computational social science research, assuming that empirical studies of humans can be conducted with AI agents instead. Since there have been…

Computation and Language · Computer Science 2025-10-21 Simon Münker , Nils Schwager , Achim Rettinger

Modern AI technology like Large language models (LLMs) has the potential to pollute the public information sphere with made-up content, which poses a significant threat to the cohesion of societies at large. A wide range of research has…

Computation and Language · Computer Science 2024-07-19 Steffen Herbold , Alexander Trautsch , Zlata Kikteva , Annette Hautli-Janisz

False information spread via the internet and social media influences public opinion and user activity, while generative models enable fake content to be generated faster and more cheaply than had previously been possible. In the not so…

Computation and Language · Computer Science 2021-04-27 Antonis Maronikolakis , Hinrich Schutze , Mark Stevenson

The field of AI is undergoing a fundamental transition from generative models that can produce synthetic content to artificial agents that can plan and execute complex tasks with only limited human involvement. Companies that pioneered the…

Artificial Intelligence · Computer Science 2025-02-12 Noam Kolt

Rapid progress in machine learning for natural language processing has the potential to transform debates about how humans learn language. However, the learning environments and biases of current artificial learners and humans diverge in…

Computation and Language · Computer Science 2024-02-13 Alex Warstadt , Samuel R. Bowman

The rapid advancement of artificial intelligence (AI) technologies presents profound challenges to societal safety. As AI systems become more capable, accessible, and integrated into critical services, the dual nature of their potential is…

Artificial Intelligence · Computer Science 2024-12-06 Giulio Corsi , Kyle Kilian , Richard Mallah

Concerns that interacting with generative AI homogenizes human cognition are largely based on evidence from text-based interactions, potentially conflating the effects of AI systems with those of written communication. This study examines…

Human-Computer Interaction · Computer Science 2026-03-31 Neelam Modi Jain , Dan J. Wang

Persuasion is a key aspect of what it means to be human, and is central to business, politics, and other endeavors. Advancements in artificial intelligence (AI) have produced AI systems that are capable of persuading humans to buy products,…

Computers and Society · Computer Science 2023-03-16 Matthew Burtell , Thomas Woodside

The spread of fake news has emerged as a critical challenge, undermining trust and posing threats to society. In the era of Large Language Models (LLMs), the capability to generate believable fake content has intensified these concerns. In…

Computation and Language · Computer Science 2023-09-19 Jinyan Su , Terry Yue Zhuo , Jonibek Mansurov , Di Wang , Preslav Nakov

The rapid development of Large Language Models (LLMs) and Generative Pre-Trained Transformers(GPTs) in the field of Generative Artificial Intelligence (AI) can significantly impact task automation in themodern economy. We anticipate that…

Performance · Computer Science 2024-06-17 Valentin Rychkov , Claudia Picoco , Emilie Caleca

Language model agents are poised to mediate how people navigate and act online. If the companies that already dominate internet search, communication, and commerce -- or the firms trying to unseat them -- control these agents, the resulting…

Computers and Society · Computer Science 2025-06-23 Sayash Kapoor , Noam Kolt , Seth Lazar

Major deployed generative AI advertising systems preserve a visible boundary between commercial content and AI-generated responses. Yet empirical research shows that ads woven directly into large language model (LLM) outputs often go…

Computers and Society · Computer Science 2026-05-19 Jingyi Qiu , Qiaozhu Mei

In recent years there has been substantial growth in the capabilities of systems designed to generate text that mimics the fluency and coherence of human language. From this, there has been considerable research aimed at examining the…

Computation and Language · Computer Science 2022-08-12 Keenan Jones , Enes Altuncu , Virginia N. L. Franqueira , Yichao Wang , Shujun Li

Generative AI models offer powerful capabilities but often lack transparency, making it difficult to interpret their output. This is critical in cases involving artistic or copyrighted content. This work introduces a search-inspired…

Artificial Intelligence · Computer Science 2025-04-03 Theodoros Aivalis , Iraklis A. Klampanos , Antonis Troumpoukis , Joemon M. Jose

Business communication digitisation has reorganised the process of persuasive discourse, which allows not only greater transparency but also advanced deception. This inquiry synthesises classical rhetoric and communication psychology with…

Computation and Language · Computer Science 2025-08-14 Sayem Hossen , Monalisa Moon Joti , Md. Golam Rashed

In recent years, the study of artificial intelligence (AI) has undergone a paradigm shift. This has been propelled by the groundbreaking capabilities of generative models both in supervised and unsupervised learning scenarios. Generative AI…

Machine Learning · Computer Science 2024-05-21 Sandeep Singh Sengar , Affan Bin Hasan , Sanjay Kumar , Fiona Carroll

Communication plays a major role in social systems. Effective communications, which requires transmission of the messages between individuals without disruptions or noise, can be a powerful tool to deliver intended impact. Language and…

Social and Information Networks · Computer Science 2019-06-28 Onur Varol , Ismail Uluturk

Generative AI has ushered in the ability to generate content that closely mimics human contributions, introducing an unprecedented threat: Deployed en masse, these models can be used to manipulate public opinion and distort perceptions,…

Computers and Society · Computer Science 2024-03-25 Anirban Mukherjee

Generative AI is frequently portrayed as revolutionary or even apocalyptic, prompting calls for novel regulatory approaches. This essay argues that such views are misguided. Instead, generative AI should be understood as an evolutionary…

Computers and Society · Computer Science 2025-03-11 Gilad Abiri

Language models, while capable of generating remarkably coherent and seemingly accurate text, can occasionally produce undesirable content, including harmful or toxic outputs. In this paper, we present a new two-stage approach to detect and…

Machine Learning · Computer Science 2025-11-11 Bao Nguyen , Binh Nguyen , Duy Nguyen , Viet Anh Nguyen
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