Understanding Fake News in India

Abstract Purpose: This study examines public trust in Indian media and the prevalence of fake news by investigating trends across traditional outlets, digital platforms, and social media. It aims to identify factors shaping trust and highlight indicators of misinformation in the Indian information ecosystem. Methodology: A quantitative approach was adopted using secondary data from credible sources such as Reuters and Statista. The analysis covered trust levels in media outlets and digital platforms from 2013 to 2023, the frequency of fake news encounters, and user perceptions regarding misinformation. Data were presented through charts and patterns to capture shifts and variations. Findings: The results reveal fluctuating trust levels over the decade, with no consistent long-term trend. Traditional outlets such as DD India, All India Radio, and The Times of India remain more trusted, while Republic TV, The Wire, and Scroll.in show lower trust scores. Social media platforms exhibit mixed perceptions, with Twitter and WhatsApp considered relatively reliable, whereas Clubhouse and Signal face skepticism. Alarmingly, 80% of Indian internet users encounter fake news, most frequently through informal networks like WhatsApp and word of mouth. Implications: The study underscores the urgent need to promote evidence-based journalism, strengthen media literacy programs, and foster critical thinking skills to enable users to identify misinformation, thereby enhancing trust and resilience in India’s media landscape.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-30
DOI
https://doi.org/10.5281/zenodo.17263722
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Understanding Fake News in India

Zenodo (CERN European Organization for Nuclear Research)
Genomics and Phylogenetic Studies
article

Understanding Fake News in India

article en

Abstract

Abstract Purpose: This study examines public trust in Indian media and the prevalence of fake news by investigating trends across traditional outlets, digital platforms, and social media. It aims to identify factors shaping trust and highlight indicators of misinformation in the Indian information ecosystem. Methodology: A quantitative approach was adopted using secondary data from credible sources such as Reuters and Statista. The analysis covered trust levels in media outlets and digital platforms from 2013 to 2023, the frequency of fake news encounters, and user perceptions regarding misinformation. Data were presented through charts and patterns to capture shifts and variations. Findings: The results reveal fluctuating trust levels over the decade, with no consistent long-term trend. Traditional outlets such as DD India, All India Radio, and The Times of India remain more trusted, while Republic TV, The Wire, and Scroll.in show lower trust scores. Social media platforms exhibit mixed perceptions, with Twitter and WhatsApp considered relatively reliable, whereas Clubhouse and Signal face skepticism. Alarmingly, 80% of Indian internet users encounter fake news, most frequently through informal networks like WhatsApp and word of mouth. Implications: The study underscores the urgent need to promote evidence-based journalism, strengthen media literacy programs, and foster critical thinking skills to enable users to identify misinformation, thereby enhancing trust and resilience in India’s media landscape.

Zenodo (CERN European Organization for Nuclear Research)
Defence Research and Development Laboratory (IN)
Quality Education
Openalex Percentile: Top 47%
Genomics and Phylogenetic Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Understanding Fake News in India · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS