In the digital age, identifying fake news is essential when fake information travels quickly via social media platforms. This project employs machine learning techniques, including Random Forest, Logistic Regression, and Decision Tree, to distinguish between real and fake news. With the rise of news consumption on social media, it becomes essential to authenticate information shared on platforms like YouTube comments. The research emphasizes the need to stop spreading harmful rumors and focuses on authenticating news articles. The proposed model utilizes machine learning and natural language processing, specifically Support Vector Machines, to aggregate and determine the authenticity of news. To address the challenges of detecting fake news in this paper, describe the Machine Learning (ML) models submitted to ‘Fake News Detection in Dravidian Languages” at DravidianLangTech@EACL 2024 shared task. Four different models, namely: Naive Bayes, Support Vector Machine (SVM), Random forest, and Decision tree.

Beyond Tech@DravidianLangTech : Fake News Detection in Dravidian Languages Using Machine Learning

[**Teleport to Gather**](https://app.gather.town/app/XDzSQW1b0mpTTAYr/EACL2024?spawnToken=XxkeWnX_QkG6G-llIfSi) The development of technology increases our internet use, and most of the global languages have adapted themselves to the digital era. However, there are many regional, under-resourced languages that face challenges as they still lack developments in language technology [1]. One such language family is the Dravidian family of languages. Dravidian languages are primarily spoken in south India and Sri Lanka. Pockets of speakers are found in Nepal, Pakistan, Malaysia, other parts of India and elsewhere in the world. The Dravidian languages, which are 4,500 years old [2] and spoken by millions of speakers, are under-resourced in speech and natural language processing [1]. The Dravidian languages are divided into four groups: South, South-Central, Central, and North groups. Dravidian morphology is agglutinating and exclusively suffixal. Syntactically, Dravidian languages are head-final and left-branching. They are free-constituent order languages. To improve access to and production of information for monolingual speakers of Dravidian languages, it is necessary to have speech and languages technologies. The aim of these workshops is to save the Dravidian languages from extinction in technology. This is the first workshop on speech and language technologies for Dravidian languages. 
 [**Read more**](https://sites.google.com/view/dravidianlangtech-2024/)
 **Program Overview** 
09:15 - 09:30 Opening Remarks 
09:30 - 10:00 Keynote 
10:00 - 11:00 Developing Models and Resources for Low Resource Applications - Chair: Bharathi Raja Chakravarthi, University of Galway, Ireland 
11:00 - 13:00 Poster Session - Chair: Prasanna Kumar Kumerasan, University of Galway, Ireland 
13:00 - 13:30 Lunch Break 
13:30 - 15:45 Overview and Findings of Shared Tasks at DravidianLangTech 2024 - Chair: Rahul Ponnusamy, University of Galway, Ireland 
15:45 - 17:00 Tea Break 
17:00 - 17:15 Meeting, Awards, Closing [**Detailed Program**](https://sites.google.com/view/dravidianlangtech-2024/schedule)

W19: The Fourth Workshop on Speech and Language Technologies for Dravidian Languages (DravidianLangTech)

workshop paper

Welcome to the 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL). Continuing its mission of expanding and involving the science community of all European countries, EACL has selected the Malta community for the 18th EACL. Considering the importance of physical interaction among researchers, the conference will be held at the Hotel Radisson Blu, St. Julians, in Malta, from 17 to 22 of March, 2024. The conference will also feature the possibility to participate virtually. As the flagship European conference in the field of computational linguistics, EACL welcomes European and international researchers covering a broad spectrum of research areas that are concerned with computational approaches to natural language. 
#### [Conference Handbook](https://drive.google.com/file/d/13Wn38q0yev6U3RTgnf4Tn5T9GuAuZ-xW/view?usp=sharing) *downloadable*

To access the EACL 2024 event page you need to register [**here**](https://acl.swoogo.com/EACL2024). 

Please register!

EACL 2024

As the flagship European conference in the field of computational linguistics, EACL welcomes European and international researchers covering a broad spectrum of research areas that are concerned with computational approaches to natural language.

Mohammed Sameer B

1

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Beyond Tech@DravidianLangTech : Fake News Detection in Dravidian Languages Using Machine Learning

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