Scott A. Hale
Orcid: 0000-0002-6894-4951
According to our database1,
Scott A. Hale
authored at least 73 papers
between 2006 and 2024.
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Bibliography
2024
The benefits, risks and bounds of personalizing the alignment of large language models to individuals.
Nat. Mac. Intell., 2024
Reducing Biases towards Minoritized Populations in Medical Curricular Content via Artificial Intelligence for Fairer Health Outcomes.
CoRR, 2024
LINGOLY: A Benchmark of Olympiad-Level Linguistic Reasoning Puzzles in Low-Resource and Extinct Languages.
CoRR, 2024
From Languages to Geographies: Towards Evaluating Cultural Bias in Hate Speech Datasets.
CoRR, 2024
The PRISM Alignment Project: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models.
CoRR, 2024
Into the crossfire: evaluating the use of a language model to crowdsource gun violence reports.
CoRR, 2024
Analyzing Misinformation Claims During the 2022 Brazilian General Election on WhatsApp, Twitter, and Kwai.
CoRR, 2024
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Misinformation Mitigation Praxis: Lessons Learned and Future Directions from Co·Insights.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024
"I Am 30F and Need Advice!": A Mixed-Method Analysis of the Effects of Advice-Seekers' Self-Disclosure on Received Replies.
Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024
Proceedings of the 2024 International Conference on Information Technology for Social Good, 2024
2023
SimpleSafetyTests: a Test Suite for Identifying Critical Safety Risks in Large Language Models.
CoRR, 2023
The Empty Signifier Problem: Towards Clearer Paradigms for Operationalising "Alignment" in Large Language Models.
CoRR, 2023
Casteist but Not Racist? Quantifying Disparities in Large Language Model Bias between India and the West.
CoRR, 2023
DoDo Learning: DOmain-DemOgraphic Transfer in Language Models for Detecting Abuse Targeted at Public Figures.
CoRR, 2023
Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedback.
CoRR, 2023
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023
The Past, Present and Better Future of Feedback Learning in Large Language Models for Subjective Human Preferences and Values.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
2022
Tackling racial bias in automated online hate detection: Towards fair and accurate detection of hateful users with geometric deep learning.
EPJ Data Sci., 2022
How can we combat online misinformation? A systematic overview of current interventions and their efficacy.
CoRR, 2022
Adaptable Claim Rewriting with Offline Reinforcement Learning for Effective Misinformation Discovery.
CoRR, 2022
Is More Data Better? Re-thinking the Importance of Efficiency in Abusive Language Detection with Transformers-Based Active Learning.
CoRR, 2022
CoRR, 2022
Information Ecosystem Threats in Minoritized Communities: Challenges, Open Problems and Research Directions.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022
Hatemoji: A Test Suite and Adversarially-Generated Dataset for Benchmarking and Detecting Emoji-Based Hate.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the Workshop on Multi-Modal Fake News and Hate-Speech Detection (DE-FACTIFY 2022) co-located with the Thirty-Sixth AAAI Conference on Artificial Intelligence ( AAAI 2022), 2022
2021
Tiplines to Combat Misinformation on Encrypted Platforms: A Case Study of the 2019 Indian Election on WhatsApp.
CoRR, 2021
Tackling Racial Bias in Automated Online Hate Detection: Towards Fair and Accurate Classification of Hateful Online Users Using Geometric Deep Learning.
CoRR, 2021
Proceedings of the Workshop Proceedings of the 15th International AAAI Conference on Web and Social Media, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Deciphering Implicit Hate: Evaluating Automated Detection Algorithms for Multimodal Hate.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
2020
Measuring relative opinion from location-based social media: A case study of the 2016 U.S. presidential election.
CoRR, 2020
Proceedings of the Fourth Workshop on Online Abuse and Harms, 2020
2019
CoRR, 2019
Diagnosing the performance of human mobility models at small spatial scales using volunteered geographic information.
CoRR, 2019
Demographic Inference and Representative Population Estimates from Multilingual Social Media Data.
Proceedings of the World Wide Web Conference, 2019
Proceedings of the 21st Eurographics Conference on Visualization, 2019
Room to Glo: A Systematic Comparison of Semantic Change Detection Approaches with Word Embeddings.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
2018
Digital traces of distinction? Popular orientation and user-engagement with status hierarchies in TripAdvisor reviews of cultural organizations.
New Media Soc., 2018
Online Petitioning Through Data Exploration and What We Found There: A Dataset of Petitions from Avaaz.org.
Proceedings of the Twelfth International Conference on Web and Social Media, 2018
2017
Proceedings of the Encyclopedia of GIS., 2017
EPJ Data Sci., 2017
Does Campaigning on Social Media Make a Difference? Evidence from candidate use of Twitter during the 2015 and 2017 UK Elections.
CoRR, 2017
Where'd it go? How Geographic and Force-directed Layouts Affect Network Task Performance.
Proceedings of the 5th EuroVis Workshop on Reproducibility, 2017
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017
2016
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016
2015
Proceedings of the ACM Web Science Conference, 2015
Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 2015
2014
Global connectivity, information diffusion, and the role of multilingual users in user-generated content platforms.
PhD thesis, 2014
Investigating Political Participation and Social Information Using Big Data and a Natural Experiment.
CoRR, 2014
Proceedings of the ACM Web Science Conference, 2014
Proceedings of the ACM Web Science Conference, 2014
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014
2013
CoRR, 2013
CoRR, 2013
Proceedings of the Web Science 2013 (co-located with ECRC), 2013
2012
J. Comput. Mediat. Commun., 2012
Unsupervised Threshold for Automatic Extraction of Dolphin Dorsal Fin Outlines from Digital Photographs in DARWIN (Digital Analysis and Recognition of Whale Images on a Network).
CoRR, 2012
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2012
2006
Iterative 3-D Pose Correction and Content-Based Image Retrieval for Dorsal Fin Recognition.
Proceedings of the Image Analysis and Recognition, Third International Conference, 2006