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Related Articles from SNS
From Self to Other: Evaluating Demographic Perspective-Taking in LLM Hate Speech Annotation
arXiv:2606.06266v1 Announce Type: new Abstract: Hate speech detection is inherently subjective: people from different demographic groups perceive the same content very differently. Collecting enough annotations from multiple demographic groups is costly and difficult to scale. Persona-conditioned Large Language Models (models prompted to adopt a specific demographic identity) have been proposed as a way to simulate diverse perspectives at scale.
Learning Perspectivist Social Meaning via Demographic-Conditioned Fusion Embeddings
arXiv:2606.07123v1 Announce Type: new Abstract: Social meaning in language is inherently perspectival, varying across annotator backgrounds, demographics, and ideological positions. However, most NLP systems collapse this variation into a single ground-truth label, ignoring the diversity of interpretations. In this work, we model social dimensions along a perspectivist spectrum, capturing how interpretations vary across demographic groups on a dataset consisting of 28k human annotations.
The Impact of Temporal Granularity on Socio-Demographic Inference from Household Load Profiles
Announce Type: new Abstract: Smart meter data can reveal sensitive socio-demographic characteristics of households, raising privacy concerns. While this risk has been demonstrated at fixed granularities, the role of temporal resolution in shaping inference performance remains insufficiently explored. This paper addresses this gap by analyzing how load profiles with granularities from 15 minutes to 7 days affect the predictability of eight socio-demographic attributes in a dataset of 1,589...
Effect of Demographic Bias on Skin Lesion Classification
Announce Type: new Abstract: In this study, we evaluate the performance of skin lesion classification using ResNet-based convolutional models, focusing on the impact of demographic bias in training data, particularly variations in patient sex and age. We use linear programming to generate datasets with controlled demographic characteristics, allowing systematic investigation of bias effects. Three learning strategies are evaluated: a single-task model, a reinforcing multi-task model, and an...
Won’t allow demographic change through influx: Amit Shah
A “smart border” pilot project integrating technology, local administrative resources and security forces will be launched simultaneously at seven to eight locations across the country’s frontiers soon, Union home minister Amit Shah announced Friday, signalling the Centre’s intent to do whatever it takes to prevent demographic change through India’s borders. “Whether it is Tripura, Bengal or Bihar, we will not allow demographic change through cross-border infiltration. This is our firm...
KG-FairDiff: Knowledge Graph-Guided Prompt Refinement for Demographically Fair Text-to-Image Generation
arXiv:2606.01282v1 Announce Type: new Abstract: Text-to-Image (TTI) systems are now everyday infrastructure for journalism, education, advertising, and public communication, and the demographic and cultural stereotypes they inherit from training data (rendering women, people of colour, older adults, and non-Western cultures as under-represented or caricatured) become a population-level harm at deployment scale. Existing mitigations either require costly retraining, infeasible for the...
Toward Trustworthy Portrait Editing: Evaluation of Demographic Misrepresentation in I2I Models
Announce Type: replace Abstract: Instruction-guided image-to-image (I2I) editors are increasingly used in consumer and professional visual workflows, where trustworthiness depends not only on prompt compliance but also on equitable preservation of identity-relevant attributes. We formalize two failure modes: Soft Erasure, where requested edits are weakly realized or silently suppressed, and Stereotype Replacement, where edits introduce unrequested, stereotype-consistent demographic...
Toward Trustworthy Portrait Editing: Evaluation of Demographic Misrepresentation in I2I Models
Announce Type: replace Abstract: Instruction-guided image-to-image (I2I) editors are increasingly used in consumer and professional visual workflows, where trustworthiness depends not only on prompt compliance but also on equitable preservation of identity-relevant attributes. We formalize two failure modes: Soft Erasure, where requested edits are weakly realized or silently suppressed, and Stereotype Replacement, where edits introduce unrequested, stereotype-consistent demographic...
Demographic history, geographic distance, and landscape features shape the genetic divergence of wild tigers in northeast India
Habitat fragmentation creates small, isolated populations that are vulnerable to inbreeding, genetic drift, and a high genetic load. For conservation management, it is essential to distinguish contemporary landscape resistance from historical demographic processes as drivers of these genetic patterns, especially for conservation priority regions such as northeast India, which intersects two major tigers conservation landscapes. We studied the genetic structure and landscape connectivity of...
Missing Data on Physics Exams: Demographic Patterns, Course-Level Predictions, and Implications for Equity
arXiv:2606.05473v1 Announce Type: new Abstract: In a previous quantitative retrospective study we showed that different demographic groups of students leave different numbers of problems blank on physics exams, leading to inequities in course outcomes. In that work we argued that there were good reasons to treat these blanks as missing data, rather than indicators of a lack of understanding. In this paper, we refine this analysis and show more detailed breakdowns uncollected test item...