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09/15/2023
Casteist but Not Racist? Quantifying Disparities in Large Language Model Bias between India and the West
Large Language Models (LLMs), now used daily by millions of users, can e...
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07/31/2023
DoDo Learning: DOmain-DemOgraphic Transfer in Language Models for Detecting Abuse Targeted at Public Figures
Public figures receive a disproportionate amount of abuse on social medi...
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03/09/2023
Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedback
Large language models (LLMs) are used to generate content for a wide ran...
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10/14/2022
Adaptable Claim Rewriting with Offline Reinforcement Learning for Effective Misinformation Discovery
We propose a novel system to help fact-checkers formulate search queries...
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09/21/2022
Is More Data Better? Re-thinking the Importance of Efficiency in Abusive Language Detection with Transformers-Based Active Learning
Annotating abusive language is expensive, logistically complex and creat...
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08/11/2022
Top Gear or Black Mirror: Inferring Political Leaning From Non-Political Content
Polarization and echo chambers are often studied in the context of expli...
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02/14/2022
Matching Tweets With Applicable Fact-Checks Across Languages
An important challenge for news fact-checking is the effective dissemina...
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09/06/2021
Fairness via AI: Bias Reduction in Medical Information
Most Fairness in AI research focuses on exposing biases in AI systems. A...
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08/12/2021
Hatemoji: A Test Suite and Adversarially-Generated Dataset for Benchmarking and Detecting Emoji-based Hate
Detecting online hate is a complex task, and low-performing models have ...
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06/10/2021
Deciphering Implicit Hate: Evaluating Automated Detection Algorithms for Multimodal Hate
Accurate detection and classification of online hate is a difficult task...
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06/08/2021
Tiplines to Combat Misinformation on Encrypted Platforms: A Case Study of the 2019 Indian Election on WhatsApp
WhatsApp is a popular chat application used by over 2 billion users worl...
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06/01/2021
Claim Matching Beyond English to Scale Global Fact-Checking
Manual fact-checking does not scale well to serve the needs of the inter...
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05/03/2021
Semantic Journeys: Quantifying Change in Emoji Meaning from 2012-2018
The semantics of emoji has, to date, been considered from a static persp...
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03/22/2021
Tackling Racial Bias in Automated Online Hate Detection: Towards Fair and Accurate Classification of Hateful Online Users Using Geometric Deep Learning
Online hate is a growing concern on many social media platforms and othe...
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07/11/2019
Estimating Traffic Disruption Patterns with Volunteered Geographic Information
Accurate understanding and forecasting of traffic is a key contemporary ...
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05/20/2019
Diagnosing the performance of human mobility models at small spatial scales using volunteered geographic information
Accurate modelling of local population movement patterns is a core conte...
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05/15/2019
Demographic Inference and Representative Population Estimates from Multilingual Social Media Data
Social media provide access to behavioural data at an unprecedented scal...
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08/27/2018
Volatility in the Issue Attention Economy
Recent election surprises and regime changes have left the impression th...
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02/01/2017
Foreign-language Reviews: Help or Hindrance?
The number and quality of user reviews greatly affects consumer purchasi...
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05/06/2016
User Reviews and Language: How Language Influences Ratings
The number of user reviews of tourist attractions, restaurants, mobile a...
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08/28/2015
Understanding Editing Behaviors in Multilingual Wikipedia
Multilingualism is common offline, but we have a more limited understand...
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01/04/2015