Walid Magdy

Attitudes towards Refugees in Light of the Paris Attacks

2015 · arXiv (Cornell University)

The Paris attacks prompted a massive response on social media including Twitter. This paper explores the immediate response of English speakers on Twitter towards Middle Eastern refugees in Europe. We show that antagonism towards refugees …

Predicting Online Islamophobic Behavior after #ParisAttacks

2018 · The Journal of Web Science

The tragic Paris terrorist attacks of November 13, 2015 sparked a massive global discussion on Twitter and other social media, with millions of tweets in the first few hours after the attacks. Most of these …

Should a Chatbot be Sarcastic? Understanding User Preferences Towards Sarcasm Generation

2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Previous sarcasm generation research has focused on how to generate text that people perceive as sarcastic to create more human-like interactions. In this paper, we argue that we should first turn our attention to the …

SemEval-2022 Task 6: iSarcasmEval, Intended Sarcasm Detection in English and Arabic

2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)

iSarcasmEval is the first shared task to target intended sarcasm detection: the data for this task was provided and labelled by the authors of the texts themselves. Such an approach minimises the downfalls of other …

SemEval-2016 Task 3: Community Question Answering

2016

Preslav Nakov, Lluís Màrquez, Alessandro Moschitti, Walid Magdy, Hamdy Mubarak, Abed Alhakim Freihat, Jim Glass, Bilal Randeree. Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016). 2016.

Mazajak: An Online Arabic Sentiment Analyser

2019

Sentiment analysis (SA) is one of the most useful natural language processing applications. Literature is flooding with many papers and systems addressing this task, but most of the work is focused on English. In this …