:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Meisenbacher, Stephen, Nestorov, Svetlozar, Norlander, Peter
Format:	Preprint
Published:	2025
Subjects:	Computers and Society Computation and Language
Online Access:	https://arxiv.org/abs/2510.01470
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Building a Custom Taxonomy of AI Skills and Tasks from the Ground Up with Job Postings
by: Meisenbacher, Stephen, et al.
Published: (2026)

Towards A Structured Overview of Use Cases for Natural Language Processing in the Legal Domain: A German Perspective
by: Vladika, Juraj, et al.
Published: (2024)

Extracting Affect Aggregates from Longitudinal Social Media Data with Temporal Adapters for Large Language Models
by: Ahnert, Georg, et al.
Published: (2024)

Applying BioBERT to Extract Germline Gene-Disease Associations for Building a Knowledge Graph from the Biomedical Literature
by: Gonzalez, Armando D. Diaz, et al.
Published: (2023)

WAXAL-NET: Finetuned Edge ASR Across 19 African Languages
by: Olufemi, Victor Tolulope, et al.
Published: (2026)

With Privacy, Size Matters: On the Importance of Dataset Size in Differentially Private Text Rewriting
by: Meisenbacher, Stephen, et al.
Published: (2025)

Just Rewrite It Again: A Post-Processing Method for Enhanced Semantic Similarity and Privacy Preservation of Differentially Private Rewritten Text
by: Meisenbacher, Stephen, et al.
Published: (2024)

Thinking Outside of the Differential Privacy Box: A Case Study in Text Privatization with Language Model Prompting
by: Meisenbacher, Stephen, et al.
Published: (2024)

LLM-as-a-Judge for Privacy Evaluation? Exploring the Alignment of Human and LLM Perceptions of Privacy in Textual Data
by: Meisenbacher, Stephen, et al.
Published: (2025)

Mapping the Podcast Ecosystem with the Structured Podcast Research Corpus
by: Litterer, Benjamin, et al.
Published: (2024)

The Moral Foundations Reddit Corpus
by: Trager, Jackson, et al.
Published: (2022)

Towards Better Inclusivity: A Diverse Tweet Corpus of English Varieties
by: Pham, Nhi, et al.
Published: (2024)

Building Better: Avoiding Pitfalls in Developing Language Resources when Data is Scarce
by: Ousidhoum, Nedjma, et al.
Published: (2024)

SPOT: An Annotated French Corpus and Benchmark for Detecting Critical Interventions in Online Conversations
by: Berriche, Manon, et al.
Published: (2025)

The Cambridge Law Corpus: A Dataset for Legal AI Research
by: Östling, Andreas, et al.
Published: (2023)

Corpus-Based Approaches to Igbo Diacritic Restoration
by: Ezeani, Ignatius
Published: (2026)

Industry Risk Assessment via Hierarchical Financial Data Using Stock Market Sentiment Indicators
by: Zhu, Hongyin
Published: (2023)

Using Twitter Data to Understand Public Perceptions of Approved versus Off-label Use for COVID-19-related Medications
by: Hua, Yining, et al.
Published: (2022)

ARCADE: A City-Scale Corpus for Fine-Grained Arabic Dialect Tagging
by: Nacar, Omer, et al.
Published: (2026)

Leveraging Semantic Triples for Private Document Generation with Local Differential Privacy Guarantees
by: Meisenbacher, Stephen, et al.
Published: (2025)

Lexical Substitution is not Synonym Substitution: On the Importance of Producing Contextually Relevant Word Substitutes
by: Vladika, Juraj, et al.
Published: (2025)

On the Impact of Noise in Differentially Private Text Rewriting
by: Meisenbacher, Stephen, et al.
Published: (2025)

A Systematic Exploration of Text Decomposition and Budget Distribution in Differentially Private Text Obfuscation
by: Meisenbacher, Stephen, et al.
Published: (2026)

A Collocation-based Method for Addressing Challenges in Word-level Metric Differential Privacy
by: Meisenbacher, Stephen, et al.
Published: (2024)

1-Diffractor: Efficient and Utility-Preserving Text Obfuscation Leveraging Word-Level Metric Differential Privacy
by: Meisenbacher, Stephen, et al.
Published: (2024)

Mapping Toxic Comments Across Demographics: A Dataset from German Public Broadcasting
by: Fillies, Jan, et al.
Published: (2025)

Ethical Concern Identification in NLP: A Corpus of ACL Anthology Ethics Statements
by: Karamolegkou, Antonia, et al.
Published: (2024)

Computational Studies in Influencer Marketing: A Systematic Literature Review
by: Gui, Haoyang, et al.
Published: (2025)

A Thematic Framework for Analyzing Large-scale Self-reported Social Media Data on Opioid Use Disorder Treatment Using Buprenorphine Product
by: Basak, Madhusudan, et al.
Published: (2024)

From Text to Talent: A Pipeline for Extracting Insights from Candidate Profiles
by: Frazzetto, Paolo, et al.
Published: (2025)

Extracting memorized pieces of (copyrighted) books from open-weight language models
by: Cooper, A. Feder, et al.
Published: (2025)

What is Stigma Attributed to? A Theory-Grounded, Expert-Annotated Interview Corpus for Demystifying Mental-Health Stigma
by: Meng, Han, et al.
Published: (2025)

Do GPT Language Models Suffer From Split Personality Disorder? The Advent Of Substrate-Free Psychometrics
by: Romero, Peter, et al.
Published: (2024)

Towards Equitable AI: Detecting Bias in Using Large Language Models for Marketing
by: Yilmaz, Berk, et al.
Published: (2025)

Investigating User Perspectives on Differentially Private Text Privatization
by: Meisenbacher, Stephen, et al.
Published: (2025)

Mapping Violence: Developing an Extensive Framework to Build a Bangla Sectarian Expression Dataset from Social Media Interactions
by: Tasnim, Nazia, et al.
Published: (2024)

Evaluating LLM-Generated Legal Explanations for Regulatory Compliance in Social Media Influencer Marketing
by: Gui, Haoyang, et al.
Published: (2025)

Sovereign AI-based Public Services are Viable and Affordable
by: Branco, António, et al.
Published: (2026)

Leveraging Social Media Data to Identify Factors Influencing Public Attitude Towards Accessibility, Socioeconomic Disparity and Public Transportation
by: Momin, Khondhaker Al, et al.
Published: (2024)

DP-MLM: Differentially Private Text Rewriting Using Masked Language Models
by: Meisenbacher, Stephen, et al.
Published: (2024)