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Papers tagged with "News"

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Vol 12, Issue 4 (April 2026) Computer Science And Engineering

Multimodal Fake News Detection Using DistilBERT And Xception Convolutional Neural Network

The Rapid Proliferation Of Misinformation Across Digital Platforms Poses A Growing Threat To Public Discourse, Democratic Processes, And Societal Trust. Traditional Fake News Detection Approaches Rely Exclusively On Textual Analysis, Failin...

Mrs. M. Rekha, Anandha Narayanan K, Bharath L, Gokul D, Manivannan N
Vol 12, Issue 3 (March 2026) Computer Science And Engineering

FakeFinder: Context-Aware News Credibility Detection Using NLP And Machine Learning

With The Rapid Growth Of Digital Media And Social Networking Platforms, The Spread Of Misinformation And Fake News Has Become One Of The Most Pressing Challenges Of The Modern Era. Platforms Such As WhatsApp, Facebook, And Twitter Deliver B...

C. Jeeva, G. Hariprasath, M. Rajkumar, Dr. S. Muthukumar

A Comparative Study Of SVD And NMF For Semantic Text Clustering Using KMeans

The Exponential Growth Of Unstructured Text Data, Such As News Articles, Social Media Posts, And Online Discussions, Has Created The Need For Effective Methods Of Semantic Organisation. Text Clustering Plays A Vital Role In This Context By...

Danish Khan, Prof. Arpana Jaiswal
Vol 11, Issue 10 (October 2025) CSE

FAKE NEWS PREDICTION BASED ON NATURAL LANGUAGE PROCESSING(NLP) AND MACHINE LEARNING

The Rapid Dissemination Of Misinformation Across Social And Digital Media Platforms Has Created A Growing Demand For Automated Mechanisms To Detect And Prevent The Spread Of Fake News. This Paper Presents A Machine Learning–based Fake News...

S. SUGANTHI SHYAMASP, M. DHARANI RAJA, G. JAYASURIYA
Vol 11, Issue 5 (May 2025) Deep Learning

Deep Learning – Based Fake News Classification With Android App Integration

Fake News And Spam Emails Present Critical Challenges To The Digital World, Impacting Societal Trust And Cybersecurity. This Design Proposes A Scalable Android- Rested Operation That Employs Advanced Deep Knowledge Approaches For Identifyin...

Girish S C, Bhumika H N, Jayashree S, Sahana Shree T, Thejaswini L
Vol 10, Issue 5 (May 2024) Management Studies

A STUDY ON BRAND LOYALTY OF DESHABHIMANI PUBLICATIONS, THRISSUR

Brand Loyalty In The Newspaper Industry Is A Pivotal Element That Ensures The Long-term Success And Sustainability Of Publications. This Study Explores The Factors That Contribute To Brand Loyalty Among Newspaper Readers, Emphasizing The Ro...

Ms. Amrutha MC, Ms. Nimisha.K
Vol 9, Issue 9 (September 2023) Computer Science

A REVIEW OF NLP AND ML ALGORITHMS FOR THE DETECTION OF FAKE NEWS ON SOCIAL MEDIA

In This Modern Age, We Commonly Employ Numerous Types Of Machines For Our Daily Work. People Currently Favor Using Electronic Media Over Traditional Media. Therefore, Online Media Has Become Very Complicated, Especially In Our Nation Where...

Charu Kanwar, Yogesh Mohan
Vol 8, Issue 8 (August 2022) Computer Science And Engineering

FAKE NEWS DETECTION USING MACHINE LEARNING

The Quality Of Available On The Web, , Becomes More And More Troublesome, Yet B-scale Data Makes It More Difficult To Detect & Amend Such Material. These Websites Also Include "false News." In This Paper, Provide Such A Strategy For Spottin...

Pooja Kailas Mahajan, Dr. Priti Subramanium
Vol 8, Issue 8 (August 2022) Computer Science And Engineering

REVIEW ON FAKE NEWS DETECTION USING MACHINE LEARNING

The Accuracy Of Information On The Internet, Especially On Social Media, Is Becoming More Problematic, Yet B-scale Data Limits The Ability To Detect, Analyze, And Correct Such Data. These Websites Also Include "false News." Introducing A Me...

Pooja Kailas Mahajan, Dr. Priti Subramanium
Vol 7, Issue 9 (September 2021) Computer Science And Engineering

A SURVEY: FAKE NEWS DETECTION USING MACHINE LEARNING & AI TECHNIQUES

Artificial Intelligence Is An Analysis Of How Algorithms Can Do Things That Humans Are Doing Differently Right Now. It Is Machine Intelligence It Industry That Aims To Create It. Researchers Around The World Have Developed A Lot Of Interest...

Ravi Kumar, Dr. Nirupma Tiwari
Vol 7, Issue 3 (March 2021) Computer Engineering

Bulletin World: A Platform Which Shows News Information & Buy Magazie

The “Online News Portal” Is Managing The Details Of News, News Category, Latest News, Sport News, Weather News. It Manages All The Information About News, Comment, And Weather News. The Project Is Totally Built At Administrative End Thus On...

Meet Patel, Brijesh patel, Prof.Ajaykumar T. Shah
Vol 7, Issue 3 (March 2021) Computer Engineering

FAKE NEWS VERIFIER: AN APPLICATION WHICH VERIFIES THE FACT ABOUT NEWS

The Goal Of This Project Is To Design The App Which Helps The WhatsApp Users To Verify The Fake Messages/news And User Can Also Report For Fake Messages Through This App. User Can Also Check The Number Of Reports On A Particular Message. Wh...

Deep Shah, Tirth Patel, Prof. Ajaykumar T. Shah
Vol 6, Issue 7 (July 2020) ISE

A STUDY ON DETECTION OF FAKE NEWS

Social Media For News Consumption Is A Double-edged Sword. On The One Hand, Its Low Cost, Easy Access, And Rapid Dissemination Of Information Lead People To Seek Out And Consume News From Social Media. On The Other Hand, It Enables The Wide...

Bhavya G, Vinutha K, Ashwini N, Vinutha S N
Vol 6, Issue 7 (July 2020) Computer Science

FAKE NEWS DETECTION USING TRAINED DATASETS

This Paper Explores The Application Of Natural Language Processing Techniques For The Detection Of 'fake News', That Is, Misleading News Stories That Come From Non-reputable Sources. Using A Dataset Obtained From Signal Media And A List...

Srinivasachar G, Shreeram G Hegde, Ajit Narayana Naik, Santosh R
Vol 6, Issue 6 (June 2020) Artificial Intelligence (AI) ,IOT

INTELLIGENT MIRROR FOR TODAY’S WORLD

This Project Presents The Design And The Development Of An Interactive Multimedia Futuristic Intelligent Mirror With Artificial Intelligence For The Ambient Home Environment As Well As For Commercial Uses In Various Industries. The Project...

Miss. Sangale Punam, Miss. Songire Pranali , Mr. Muthal Aditya, Miss. Shinde Tejaswini

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