Search Results for author: Fatima Haouari

Found 8 papers, 4 papers with code

Detecting Stance of Authorities towards Rumors in Arabic Tweets: A Preliminary Study

1 code implementation14 Jan 2023 Fatima Haouari, Tamer Elsayed

We believe the task is useful to augment the sources of evidence utilized by existing rumor verification systems.

Stance Detection

ArCOV19-Rumors: Arabic COVID-19 Twitter Dataset for Misinformation Detection

no code implementations EACL (WANLP) 2021 Fatima Haouari, Maram Hasanain, Reem Suwaileh, Tamer Elsayed

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.

Benchmarking Fact Checking +1

Overview of CheckThat! 2020: Automatic Identification and Verification of Claims in Social Media

3 code implementations15 Jul 2020 Alberto Barron-Cedeno, Tamer Elsayed, Preslav Nakov, Giovanni Da San Martino, Maram Hasanain, Reem Suwaileh, Fatima Haouari, Nikolay Babulkov, Bayan Hamdan, Alex Nikolov, Shaden Shaar, Zien Sheikh Ali

The first four tasks compose the full pipeline of claim verification in social media: Task 1 on check-worthiness estimation, Task 2 on retrieving previously fact-checked claims, Task 3 on evidence retrieval, and Task 4 on claim verification.

Claim Verification Retrieval +1

ArCOV-19: The First Arabic COVID-19 Twitter Dataset with Propagation Networks

1 code implementation EACL (WANLP) 2021 Fatima Haouari, Maram Hasanain, Reem Suwaileh, Tamer Elsayed

In this paper, we present ArCOV-19, an Arabic COVID-19 Twitter dataset that spans one year, covering the period from 27th of January 2020 till 31st of January 2021.

Information Retrieval Retrieval

QoE-Aware Resource Allocation for Crowdsourced Live Streaming: A Machine Learning Approach

no code implementations20 Jun 2019 Fatima Haouari, Emna Baccour, Aiman Erbad, Amr Mohamed, Mohsen Guizani

This can be achieved by advocating a geo-distributed cloud infrastructure to allocate the multimedia resources as close as possible to viewers, in order to minimize the access delay and video stalls.

BIG-bench Machine Learning

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