Arkaitz Zubiaga

research

∙ 05/03/2023

Some Observations on Fact-Checking Work with Implications for Computational Support

Social media and user-generated content (UGC) have become increasingly i...

0 Rob Procter, et al. ∙

research

∙ 02/28/2023

PANACEA: An Automated Misinformation Detection System on COVID-19

In this demo, we introduce a web-based misinformation detection system P...

0 Runcong Zhao, et al. ∙

research

∙ 02/16/2023

Cluster-based Deep Ensemble Learning for Emotion Classification in Internet Memes

Memes have gained popularity as a means to share visual ideas through th...

0 Xiaoyu Guo, et al. ∙

research

∙ 02/16/2023

NUAA-QMUL-AIIT at Memotion 3: Multi-modal Fusion with Squeeze-and-Excitation for Internet Meme Emotion Analysis

This paper describes the participation of our NUAA-QMUL-AIIT team in the...

0 Xiaoyu Guo, et al. ∙

research

∙ 01/11/2023

Few-shot Learning for Cross-Target Stance Detection by Aggregating Multimodal Embeddings

Despite the increasing popularity of the stance detection task, existing...

0 Parisa Jamadi Khiabani, et al. ∙

research

∙ 12/20/2022

AnnoBERT: Effectively Representing Multiple Annotators' Label Choices to Improve Hate Speech Detection

Supervised approaches generally rely on majority-based labels. However, ...

0 Wenjie Yin, et al. ∙

research

∙ 12/16/2022

Check-worthy Claim Detection across Topics for Automated Fact-checking

An important component of an automated fact-checking system is the claim...

0 Amani S. Abumansour, et al. ∙

research

∙ 11/15/2022

SexWEs: Domain-Aware Word Embeddings via Cross-lingual Semantic Specialisation for Chinese Sexism Detection in Social Media

The goal of sexism detection is to mitigate negative online content targ...

0 Aiqi Jiang, et al. ∙

research

∙ 08/18/2022

Active PETs: Active Data Annotation Prioritisation for Few-Shot Claim Verification with Pattern Exploiting Training

To mitigate the impact of data scarcity on fact-checking systems, we foc...

0 Xia Zeng, et al. ∙

research

∙ 07/14/2022

Session-based Cyberbullying Detection in Social Media: A Survey

Cyberbullying is a pervasive problem in online social media, where a bul...

0 Peiling Yi, et al. ∙

research

∙ 05/11/2022

Aggregating Pairwise Semantic Differences for Few-Shot Claim Veracity Classification

As part of an automated fact-checking pipeline, the claim veracity class...

0 Xia Zeng, et al. ∙

research

∙ 05/11/2022

Building for Tomorrow: Assessing the Temporal Persistence of Text Classifiers

Where performance of text classification models drops over time due to c...

15 Rabab Alkhalifa, et al. ∙

research

∙ 05/05/2022

Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claims

We present a comprehensive work on automated veracity assessment from da...

0 M. Arana-Catania, et al. ∙

research

∙ 05/03/2022

Hidden behind the obvious: misleading keywords and implicitly abusive language on social media

While social media offers freedom of self-expression, abusive language c...

0 Wenjie Yin, et al. ∙

research

∙ 04/01/2022

Cyberbullying detection across social media platforms via platform-aware adversarial encoding

Despite the increasing interest in cyberbullying detection, existing eff...

0 Peiling Yi, et al. ∙

research

∙ 11/05/2021

Sexism Identification in Tweets and Gabs using Deep Neural Networks

Through anonymisation and accessibility, social media platforms have fac...

0 Amikul Kalra, et al. ∙

research

∙ 11/01/2021

Cross-lingual Hate Speech Detection using Transformer Models

Hate speech detection within a cross-lingual setting represents a paramo...

0 Teodor Tiţa, et al. ∙

research

∙ 09/23/2021

Automated Fact-Checking: A Survey

As online false information continues to grow, automated fact-checking h...

0 Xia Zeng, et al. ∙

research

∙ 09/03/2021

A Longitudinal Multi-modal Dataset for Dementia Monitoring and Diagnosis

Dementia is a family of neurogenerative conditions affecting memory and ...

0 Dimitris Gkoumas, et al. ∙

research

∙ 09/01/2021

Capturing Stance Dynamics in Social Media: Open Challenges and Research Directions

Social media platforms provide a goldmine for mining public opinion on i...

1 Rabab Alkhalifa, et al. ∙

research

∙ 08/31/2021

The emojification of sentiment on social media: Collection and analysis of a longitudinal Twitter sentiment dataset

Social media, as a means for computer-mediated communication, has been e...

1 Wenjie Yin, et al. ∙

research

∙ 08/27/2021

Opinions are Made to be Changed: Temporally Adaptive Stance Classification

Given the rapidly evolving nature of social media and people's views, wo...

1 Rabab Alkhalifa, et al. ∙

research

∙ 08/24/2021

Weakly Supervised Cross-platform Teenager Detection with Adversarial BERT

Teenager detection is an important case of the age detection task in soc...

0 Peiling Yi, et al. ∙

research

∙ 08/06/2021

Cross-lingual Capsule Network for Hate Speech Detection in Social Media

Most hate speech detection research focuses on a single language, genera...

0 Aiqi Jiang, et al. ∙

research

∙ 04/23/2021

QMUL-SDS at SCIVER: Step-by-Step Binary Classification for Scientific Claim Verification

Scientific claim verification is a unique challenge that is attracting i...

0 Xia Zeng, et al. ∙

research

∙ 02/28/2021

Citizen Participation and Machine Learning for a Better Democracy

The development of democratic systems is a crucial task as confirmed by ...

0 M. Arana-Catania, et al. ∙

research

∙ 02/17/2021

Towards generalisable hate speech detection: a review on obstacles and solutions

Hate speech is one type of harmful online content which directly attacks...

0 Wenjie Yin, et al. ∙

research

∙ 12/11/2020

TF-CR: Weighting Embeddings for Text Classification

Text classification, as the task consisting in assigning categories to t...

0 Arkaitz Zubiaga, et al. ∙

research

∙ 11/23/2020

An Online Multilingual Hate speech Recognition System

The exponential increase in the use of the Internet and social media ove...

0 Neeraj Vashistha, et al. ∙

research

∙ 11/05/2020

QMUL-SDS @ DIACR-Ita: Evaluating Unsupervised Diachronic Lexical Semantics Classification in Italian

In this paper, we present the results and main findings of our system fo...

1 Rabab Alkhalifa, et al. ∙

research

∙ 11/05/2020

NUAA-QMUL at SemEval-2020 Task 8: Utilizing BERT and DenseNet for Internet Meme Emotion Analysis

This paper describes our contribution to SemEval 2020 Task 8: Memotion A...

0 Xiaoyu Guo, et al. ∙

research

∙ 11/02/2020

QMUL-SDS @ SardiStance: Leveraging Network Interactions to Boost Performance on Stance Detection using Knowledge Graphs

This paper presents our submission to the SardiStance 2020 shared task, ...

1 Rabab Alkhalifa, et al. ∙

research

∙ 08/30/2020

QMUL-SDS at CheckThat! 2020: Determining COVID-19 Tweet Check-Worthiness Using an Enhanced CT-BERT with Numeric Expressions

This paper describes the participation of the QMUL-SDS team for Task 1 o...

1 Rabab Alkhalifa, et al. ∙

research

∙ 06/03/2020

Exploiting Class Labels to Boost Performance on Embedding-based Text Classification

Text classification is one of the most frequent tasks for processing tex...

0 Arkaitz Zubiaga, et al. ∙

research

∙ 12/03/2018

A Longitudinal Analysis of the Public Perception of the Opportunities and Challenges of the Internet of Things

The Internet of Things (or IoT), which enables the networked interconnec...

0 Arkaitz Zubiaga, et al. ∙

research

∙ 11/14/2018

Leveraging Aspect Phrase Embeddings for Cross-Domain Review Rating Prediction

Online review platforms are a popular way for users to post reviews by e...

0 Aiqi Jiang, et al. ∙

research

∙ 09/21/2018

Towards Automated Factchecking: Developing an Annotation Schema and Benchmark for Consistent Automated Claim Detection

In an effort to assist factcheckers in the process of factchecking, we t...

0 Lev Konstantinovskiy, et al. ∙

research

∙ 09/18/2018

RumourEval 2019: Determining Rumour Veracity and Support for Rumours

This is the proposal for RumourEval-2019, which will run in early 2019 a...

0 Genevieve Gorrell, et al. ∙

research

∙ 06/10/2018

All-in-one: Multi-task Learning for Rumour Verification

Automatic resolution of rumours is a challenging task that can be broken...

0 Elena Kochkina, et al. ∙

research

∙ 04/10/2018

Mining Social Media for Newsgathering

Social media is becoming an increasingly important data source for learn...

0 Arkaitz Zubiaga, et al. ∙

research

∙ 01/22/2018

Learning Class-specific Word Representations for Early Detection of Hoaxes in Social Media

As people increasingly use social media as a source for news consumption...

0 Arkaitz Zubiaga, et al. ∙

research

∙ 12/06/2017

Discourse-Aware Rumour Stance Classification in Social Media Using Sequential Classifiers

Rumour stance classification, defined as classifying the stance of speci...

0 Arkaitz Zubiaga, et al. ∙

research

∙ 09/26/2017

A Longitudinal Assessment of the Persistence of Twitter Datasets

Sharing of social media datasets presents the caveat that they are not a...

0 Arkaitz Zubiaga, et al. ∙

research

∙ 04/20/2017

SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours

Media is full of false claims. Even Oxford Dictionaries named "post-trut...

0 Leon Derczynski, et al. ∙

research

∙ 04/03/2017

Detection and Resolution of Rumours in Social Media: A Survey

Despite the increasing use of social media platforms for information and...

0 Arkaitz Zubiaga, et al. ∙

research

∙ 02/27/2017

Stance Classification of Social Media Users in Independence Movements

Social media and data mining are increasingly being used to analyse poli...

0 Arkaitz Zubiaga, et al. ∙

research

∙ 10/24/2016

Learning Reporting Dynamics during Breaking News for Rumour Detection in Social Media

Breaking news leads to situations of fast-paced reporting in social medi...

0 Arkaitz Zubiaga, et al. ∙

research

∙ 09/07/2016

Using Gaussian Processes for Rumour Stance Classification in Social Media

Social media tend to be rife with rumours while new reports are released...

0 Michal Lukasik, et al. ∙

research

∙ 06/14/2016

Using Fuzzy Logic to Leverage HTML Markup for Web Page Representation

The selection of a suitable document representation approach plays a cru...

0 Alberto P. García-Plaza, et al. ∙

research

∙ 04/25/2016

Towards Real-Time, Country-Level Location Classification of Worldwide Tweets

In contrast to much previous work that has focused on location classific...

0 Arkaitz Zubiaga, et al. ∙

Arkaitz Zubiaga

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