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First Call for Workshop Papers
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Second Call for Workshop Papers
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Workshop Paper Due Date
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Notification of Acceptance
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Camera-ready papers due
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Workshop Dates
To establish a groundwork for a more in-depth investigation of the sharing Behaviors of users and to strengthen thee capability of identifying the fake news.
To Investigate the challenges related to the detection of fake news in low-resource languages.
To create a corpus of fake news from social media and news articles in different domains.
To uniquely characterize fake news on social media/news articles and analyze the velocity of the fake news.
To provide opportunities for researchers from the low-resource language community from around the world to collaborate with other researchers.
We invite researchers and practitioners to submit papers reporting on fake news detection and datasets to avoid the issues in fake news detection.
We also encourage qualitative studies related to the issues and how to avoid them
Regional-fake 2022 welcomes theoretical and practical paper submissions on any low-resource languages that contribute to research in identifying trust, fakeness and reliability
We particularly encourage studies that address either practical application or improving resources
Malliga Subramanian,
Kongu Engineering College, India
S. Angel Deborah,
Sri Sivasubramaniya Nadar College of Engineering, India
Kogilavani Shanmugavadivel, Kongu Engineering College, India
Dhivya Chinnapa,
Thomson Reuters, USA
T. T. Mirnalinee,
Sri Sivasubaramaniya Nadar
College of Engineering, India
Gyorgy Kovacs,
Lulea University of Technology,
Lulea, Sweden
S. Rajalakshmi,
Sri Sivasubramaniya Nadar College
of Engineering, India
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