activity
20132022
most citedArabic Offensive Language on Twitter: Analysis and Experiments

86 citations · 305 across the 27 of their papers we have counts for

collaborators

32 papers

cs.CL2022★ 1 cited

NatiQ: An End-to-end Text-to-Speech System for Arabic

Ahmed Abdelali, Nadir Durrani, Cenk Demiroglu +3

NatiQ is end-to-end text-to-speech system for Arabic. Our speech synthesizer uses an encoder-decoder architecture with attention. We used both tacotron-based models (tacotron-1 and…

cs.CL2021

Automatic Expansion and Retargeting of Arabic Offensive Language Training

Hamdy Mubarak, Ahmed Abdelali, Kareem Darwish +1

Rampant use of offensive language on social media led to recent efforts on automatic identification of such language. Though offensive language has general characteristics, attacks…

cs.SI2021★ 1 cited

News Consumption in Time of Conflict: 2021 Palestinian-Israel War as an Example

Kareem Darwish

This paper examines news consumption in response to a major polarizing event, and we use the May 2021 Israeli-Palestinian conflict as an example. We conduct a detailed analysis of…

cs.CL2021

Cross-lingual Emotion Detection

Sabit Hassan, Shaden Shaar, Kareem Darwish

Emotion detection can provide us with a window into understanding human behavior. Due to the complex dynamics of human emotions, however, constructing annotated datasets to train a…

cs.CL2021★ 85 cited

Pre-Training BERT on Arabic Tweets: Practical Considerations

Ahmed Abdelali, Sabit Hassan, Hamdy Mubarak +2

Pretraining Bidirectional Encoder Representations from Transformers (BERT) for downstream NLP tasks is a non-trival task. We pretrained 5 BERT models that differ in the size of the…

cs.CL2021★ 7 cited

BERT Transformer model for Detecting Arabic GPT2 Auto-Generated Tweets

Fouzi Harrag, Maria Debbah, Kareem Darwish +1

During the last two decades, we have progressively turned to the Internet and social media to find news, entertain conversations and share opinion. Recently, OpenAI has developed a…

cs.CL2020

A Panoramic Survey of Natural Language Processing in the Arab World

Kareem Darwish, Nizar Habash, Mourad Abbas +9

The term natural language refers to any system of symbolic communication (spoken, signed or written) without intentional human planning and design. This distinguishes natural langu…

cs.SI2020

Political Framing: US COVID19 Blame Game

Chereen Shurafa, Kareem Darwish, Wajdi Zaghouani

Through the use of Twitter, framing has become a prominent presidential campaign tool for politically active users. Framing is used to influence thoughts by evoking a particular pe…

cs.IR2020★ 15 cited

Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms

Firoj Alam, Fahim Dalvi, Shaden Shaar +8

With the outbreak of the COVID-19 pandemic, people turned to social media to read and to share timely information including statistics, warnings, advice, and inspirational stories.…

cs.CL2020★ 25 cited

Arabic Dialect Identification in the Wild

Ahmed Abdelali, Hamdy Mubarak, Younes Samih +2

We present QADI, an automatically collected dataset of tweets belonging to a wide range of country-level Arabic dialects -covering 18 different countries in the Middle East and Nor…

cs.SI2020★ 2 cited

Embeddings-Based Clustering for Target Specific Stances: The Case of a Polarized Turkey

Ammar Rashed, Mucahid Kutlu, Kareem Darwish +2

On June 24, 2018, Turkey conducted a highly consequential election in which the Turkish people elected their president and parliament in the first election under a new presidential…

cs.CL2020★ 1 cited

Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society

Firoj Alam, Shaden Shaar, Fahim Dalvi +14

With the emergence of the COVID-19 pandemic, the political and the medical aspects of disinformation merged as the problem got elevated to a whole new level to become the first glo…

cs.SI2020★ 2 cited

A Few Topical Tweets are Enough for Effective User-Level Stance Detection

Younes Samih, Kareem Darwish

Stance detection entails ascertaining the position of a user towards a target, such as an entity, topic, or claim. Recent work that employs unsupervised classification has shown th…

cs.CL2020★ 86 cited

Arabic Offensive Language on Twitter: Analysis and Experiments

Hamdy Mubarak, Ammar Rashed, Kareem Darwish +2

Detecting offensive language on Twitter has many applications ranging from detecting/predicting bullying to measuring polarization. In this paper, we focus on building a large Arab…

cs.CL2020

Arabic Diacritic Recovery Using a Feature-Rich biLSTM Model

Kareem Darwish, Ahmed Abdelali, Hamdy Mubarak +1

Diacritics (short vowels) are typically omitted when writing Arabic text, and readers have to reintroduce them to correctly pronounce words. There are two types of Arabic diacritic…

cs.SI2020★ 1 cited

Quantifying Polarization on Twitter: the Kavanaugh Nomination

Kareem Darwish

This paper addresses polarization quantification, particularly as it pertains to the nomination of Brett Kavanaugh to the US Supreme Court and his subsequent confirmation with the…

cs.CL2019★ 1 cited

Tanbih: Get To Know What You Are Reading

Yifan Zhang, Giovanni Da San Martino, Alberto Barrón-Cedeño +10

We introduce Tanbih, a news aggregator with intelligent analysis tools to help readers understanding what's behind a news story. Our system displays news grouped into events and ge…

cs.SI2019★ 3 cited

Embedding-based Qualitative Analysis of Polarization in Turkey

Mucahid Kutlu, Kareem Darwish, Cansin Bayrak +2

On June 24, 2018, Turkey conducted a highly-consequential election in which the Turkish people elected their president and parliament in the first election under a new presidential…

cs.SI2019★ 9 cited

Predicting the Topical Stance of Media and Popular Twitter Users

Peter Stefanov, Kareem Darwish, Atanas Atanasov +1

Discovering the stances of media outlets and influential people on current, debatable topics is important for social statisticians and policy makers. Many supervised solutions exis…

cs.SI2019

Unsupervised User Stance Detection on Twitter

Kareem Darwish, Peter Stefanov, Michaël Aupetit +1

We present a highly effective unsupervised framework for detecting the stance of prolific Twitter users with respect to controversial topics. In particular, we use dimensionality r…

cs.SI2018★ 11 cited

To Kavanaugh or Not to Kavanaugh: That is the Polarizing Question

Kareem Darwish

On October 6, 2018, the US Senate confirmed Brett Kavanaugh with the narrowest margin for a successful confirmation since 1881 and where the senators voted overwhelmingly along par…

cs.CL2018★ 3 cited

Diacritization of Maghrebi Arabic Sub-Dialects

Ahmed Abdelali, Mohammed Attia, Younes Samih +2

Diacritization process attempt to restore the short vowels in Arabic written text; which typically are omitted. This process is essential for applications such as Text-to-Speech (T…

cs.SI2018★ 5 cited

Devam vs. Tamam: 2018 Turkish Elections

Mucahid Kutlu, Kareem Darwish, Tamer Elsayed

On June 24, 2018, Turkey held a historical election, transforming its parliamentary system to a presidential one. One of the main questions for Turkish voters was whether to start…

cs.CL2017★ 11 cited

Arabic Multi-Dialect Segmentation: bi-LSTM-CRF vs. SVM

Mohamed Eldesouki, Younes Samih, Ahmed Abdelali +4

Arabic word segmentation is essential for a variety of NLP applications such as machine translation and information retrieval. Segmentation entails breaking words into their consti…