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Current political developments worldwide illustrate that research on democratic backsliding is as important as ever. A recent exchange in Political Science & Politics (2/2024) has highlighted again a fundamental challenge in this…

Computers and Society · Computer Science 2026-01-14 Nils B. Weidmann , Mats Faulborn , David García

Large Language Models (LLMs) are a transformational technology, fundamentally changing how people obtain information and interact with the world. As people become increasingly reliant on them for an enormous variety of tasks, a body of…

Computers and Society · Computer Science 2025-05-08 Nouar Aldahoul , Hazem Ibrahim , Matteo Varvello , Aaron Kaufman , Talal Rahwan , Yasir Zaki

Large language models (LLMs) are trained on vast amounts of data to generate natural language, enabling them to perform tasks like text summarization and question answering. These models have become popular in artificial intelligence (AI)…

Large language models (LLMs) have rapidly become indispensable tools for acquiring information and supporting human decision-making. However, ensuring that these models uphold fairness across varied contexts is critical to their safe and…

Computers and Society · Computer Science 2026-03-05 Xulang Zhang , Rui Mao , Erik Cambria

Democratic opinion-forming may be manipulated if newspapers' alignment to political or economical orientation is ambiguous. Various methods have been developed to better understand newspapers' positioning. Recently, the advent of Large…

Computation and Language · Computer Science 2024-06-04 Alessio Buscemi , Daniele Proverbio

Large language models (LLMs) are revolutionizing every aspect of society. They are increasingly used in problem-solving tasks to substitute human assessment and reasoning. LLMs are trained on what humans write and are thus exposed to human…

Software Engineering · Computer Science 2025-10-14 Fengfei Sun , Ningke Li , Kailong Wang , Lorenz Goette

The pervasive spread of misinformation and disinformation in social media underscores the critical importance of detecting media bias. While robust Large Language Models (LLMs) have emerged as foundational tools for bias prediction,…

Computers and Society · Computer Science 2024-12-11 Luyang Lin , Lingzhi Wang , Jinsong Guo , Kam-Fai Wong

As Large Language Models (LLMs) increasingly mediate global information access with the potential to shape public discourse, their alignment with universal human rights principles becomes important to ensure that these rights are abided by…

Computation and Language · Computer Science 2026-03-05 Keenan Samway , Nicole Miu Takagi , Rada Mihalcea , Bernhard Schölkopf , Ilias Chalkidis , Daniel Hershcovich , Zhijing Jin

Subjective well-being is a key metric in economic, medical, and policy decision-making. As artificial intelligence provides scalable tools for modelling human outcomes, it is crucial to evaluate whether large language models (LLMs) can…

Human-Computer Interaction · Computer Science 2025-07-09 Pat Pataranutaporn , Nattavudh Powdthavee , Chayapatr Archiwaranguprok , Pattie Maes

Large Language Models (LLMs) represent a major step toward artificial general intelligence, significantly advancing our ability to interact with technology. While LLMs perform well on Natural Language Processing tasks -- such as…

Computation and Language · Computer Science 2025-05-15 Brandon Smith , Mohamed Reda Bouadjenek , Tahsin Alamgir Kheya , Phillip Dawson , Sunil Aryal

Large language models (LLMs) have brought breakthroughs in tasks including translation, summarization, information retrieval, and language generation, gaining growing interest in the CHI community. Meanwhile, the literature shows…

Human-Computer Interaction · Computer Science 2024-03-05 Lu Wang , Max Song , Rezvaneh Rezapour , Bum Chul Kwon , Jina Huh-Yoo

Large language models (LLMs) have demonstrated remarkable capabilities in simulating human behaviour and social intelligence. However, they risk perpetuating societal biases, especially when demographic information is involved. We introduce…

Computers and Society · Computer Science 2025-06-11 Bryan Chen Zhengyu Tan , Roy Ka-Wei Lee

Large language models (LLMs) are increasingly being utilised across a range of tasks and domains, with a burgeoning interest in their application within the field of journalism. This trend raises concerns due to our limited understanding of…

Computation and Language · Computer Science 2024-06-18 Filip Trhlik , Pontus Stenetorp

Misalignment in Large Language Models (LLMs) refers to the failure to simultaneously satisfy safety, value, and cultural dimensions, leading to behaviors that diverge from human expectations in real-world settings where these dimensions…

Computation and Language · Computer Science 2026-02-12 Usman Naseem , Gautam Siddharth Kashyap , Ebad Shabbir , Sushant Kumar Ray , Abdullah Mohammad , Rafiq Ali

Language models (LMs) are known to represent the perspectives of some social groups better than others, which may impact their performance, especially on subjective tasks such as content moderation and hate speech detection. To explore how…

Computation and Language · Computer Science 2024-06-19 Zihao He , Siyi Guo , Ashwin Rao , Kristina Lerman

With the increasing prevalence of artificial intelligence, careful evaluation of inherent biases needs to be conducted to form the basis for alleviating the effects these predispositions can have on users. Large language models (LLMs) are…

Computation and Language · Computer Science 2025-05-08 David Exler , Mark Schutera , Markus Reischl , Luca Rettenberger

Large Language Models (LLMs) are capable of generating opinions and propagating bias unknowingly, originating from unrepresentative and non-diverse data collection. Prior research has analysed these opinions with respect to the West,…

Computers and Society · Computer Science 2025-03-11 Hari Shankar , Vedanta S P , Tejas Cavale , Ponnurangam Kumaraguru , Abhijnan Chakraborty

Misinformation is on the rise, and the strong writing capabilities of LLMs lower the barrier for malicious actors to produce and disseminate false information. We study how LLMs behave when prompted to spread misinformation across languages…

Large language models (LLMs) can lead to undesired consequences when misaligned with human values, especially in scenarios involving complex and sensitive social biases. Previous studies have revealed the misalignment of LLMs with human…

Computation and Language · Computer Science 2025-09-18 Yang Liu , Chenhui Chu

Political beliefs vary significantly across different countries, reflecting distinct historical, cultural, and institutional contexts. These ideologies, ranging from liberal democracies to rigid autocracies, influence human societies, as…

Computers and Society · Computer Science 2025-10-07 Natalia Ożegalska-Łukasik , Szymon Łukasik
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