Ink and Individuality: Crafting a Personalised Narrative in the Age of LLMs
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Abstract (arXiv)
Individuality and personalization comprise the distinctive characteristics that make each writer unique and influence their words in order to effectively engage readers while conveying authenticity. However, our growing reliance on LLM-based writing assistants risks compromising our creativity and individuality over time. We often overlook the negative impacts of this trend on our creativity and uniqueness, despite the possible consequences. This study investigates these concerns by performing a brief survey to explore different perspectives and concepts, as well as trying to understand people's viewpoints, in conjunction with past studies in the area. Addressing these issues is essential for improving human-computer interaction systems and enhancing writing assistants for personalization and individuality.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 12 of its 28 references that are in the map. First posted on arXiv 20 Mar 2024.
Builds on
12 of 28 references.
References · 12
- 2022Training language models to follow instructions with human feedbackcited by 15,971
- 2021Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processingcited by 2,234
- 2020RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Modelscited by 1,255
- 2022Red Teaming Language Models with Language Modelscited by 1,026
- 2019How Can We Know What Language Models Know?cited by 959
- 2022PromptSource: An Integrated Development Environment and Repository for Natural Language Promptscited by 289
- 2022Re3: Generating Longer Stories With Recursive Reprompting and Revisioncited by 193
- 2023Does Writing with Language Models Reduce Content Diversity?cited by 192
- 2022Co-Writing Screenplays and Theatre Scripts with Language Models: An Evaluation by Industry Professionalscited by 191
- 2024AI-Augmented Brainwriting: Investigating the use of LLMs in group ideationcited by 44
- 2024GhostWriter: Augmenting Collaborative Human-AI Writing Experiences Through Personalization and Agencycited by 18
- 2023LMCanvas: Object-Oriented Interaction to Personalize Large Language Model-Powered Writing Environmentscited by 6
Built on by
Citing papers per year: 2024: 3; 2025: 1; 2026: 1.
5 papers.
- 2025Where Do I 'Add the Egg'?: Exploring Agency and Ownership in AI Creative Co-Writing Systemscited by 7
- 2024CogErgLLM: Exploring Large Language Model Systems Design Perspective Using Cognitive Ergonomicscited by 3
- 2024Exploring Possibilities of AI-Powered Legal Assistance in Bangladesh through Large Language Modelingcited by 3
- 2024Designing Human-AI Collaboration to Support Learning in Counterspeech Writingcited by 0
- 2026CASPER in the Machine: Insights into Character Variety in LLM-Generated Storiescited by 0
- 2026CASPER in the Machine: Insights into Character Variety in LLM-Generated Stories21 Jun 2026
- 2025Where Do I 'Add the Egg'?: Exploring Agency and Ownership in AI Creative Co-Writing Systems18 Sep 2025
- 2024Exploring Possibilities of AI-Powered Legal Assistance in Bangladesh through Large Language Modeling22 Oct 2024
- 2024Designing Human-AI Collaboration to Support Learning in Counterspeech Writing3 Oct 2024
- 2024CogErgLLM: Exploring Large Language Model Systems Design Perspective Using Cognitive Ergonomics3 Jul 2024