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EveTAR: A new test collection for event detection in Arabic tweets
(
Association for Computing Machinery, Inc
, 2016 , Conference Paper)
Research on event detection in Twitter is often obstructed by the lack of publicly-available evaluation mechanisms such as test collections; this problem is more severe when considering the scarcity of them in languages ...
CheckThat! at CLEF 2020: Enabling the automatic identification and verification of claims in social media
(
Springer
, 2020 , Conference Paper)
We describe the third edition of the CheckThat! Lab, which is part of the 2020 Cross-Language Evaluation Forum (CLEF). CheckThat! proposes four complementary tasks and a related task from previous lab editions, offered in ...
Overview of CheckThat! 2020 Arabic: Automatic Identification and Verification of Claims in Social Media
(
CEUR-WS
, 2020 , Conference Paper)
In this paper, we present an overview of the Arabic tasks of the third edition of the CheckThat! Lab at CLEF 2020. The lab featured three Arabic tasks over social media (and the Web): Task 1 on check-worthiness estimation, ...
Exploiting Live Feedback for Tweet Real-time Push Notifications
(
National Institute of Standards and Technology (NIST)
, 2017 , Conference Paper)
Twitter has been developed as an immense information creation and sharing network through which users post diverse information. Although a user would regularly check her Twitter timeline to stay up-to-date on her topics ...
Light-weight, Conservative, yet Effective: Scalable Real-time Tweet Summarization
(
National Institute of Standards and Technology (NIST)
, 2016 , Conference Paper)
Microblogging platforms and Twitter specifically have become a major resource for exploring diverse topics of interest that vary from the world's breaking news to other topics such as sports, science, religion and even ...
ArCOV19-Rumors: Arabic COVID-19 Twitter Dataset for Misinformation Detection
(
Association for Computational Linguistics (ACL)
, 2021 , Conference Paper)
In this paper we introduce ArCOV19-Rumors, an Arabic COVID-19 Twitter dataset for misinformation detection composed of tweets containing claims from 27th January till the end of April 2020. We collected 138 verified claims, ...
The evolution of scholarly digital library needs in an international environment: Social reference management systems and Qatar
(
Springer Verlag
, 2013 , Conference Paper)
Qatar has become an active research producer of data, publications, and other scholarly works. We studied the evolving scholarly activities and needs of researchers in this relatively new research environment, and compared ...
Comparative Evaluation of Sentiment Analysis Methods Across Arabic Dialects
(
Elsevier
, 2017 , Conference Paper)
Sentiment analysis in Arabic is challenging due to the complex morphology of the language. The task becomes more challenging when considering Twitter data that contain significant amounts of noise such as the use of Arabizi, ...
BroDyn'18: Workshop on analysis of broad dynamic topics over social media
(
CEUR-WS
, 2018 , Conference Paper)
Social media streams are flooded with posts related to topics that are broad (i.e., cover several sub-topics) and dynamic (i.e., develop over time) which attract long-standing user interests. Posts about topics like "Brexit" ...
A Characterization Study of Arabic Twitter Data with a Benchmarking for State-of-the-Art Opinion Mining Models
(
Association for Computational Linguistics (ACL)
, 2017 , Conference Paper)
Opinion mining in Arabic is a challenging task given the rich morphology of the language. The task becomes more challenging when it is applied to Twitter data, which contains additional sources of noise, such as the use ...