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Articles by Dhiraj Murthy
Automating remix: generative AI, creative labor, and the decay of aura
ABSTRACT The widespread adoption of Generative Artificial Intelligence Technology (GenAI) is prompting researchers to re-evaluate the relationship between technology and human creativity. While the pervading assumption is that GenAI will transform and not replace human creativity, this prediction overlooks the longstanding disempowerment of many creative workers in technological assemblages.
Remediated marketing: leveraging computer vision and rule-based classification models to detect e-cigarette warning labels across social media
ABSTRACT Big Tobacco and other stakeholders, such as vape shops and smaller e-cigarette manufacturers, have adapted traditional tobacco marketing techniques to digital platforms. Warning labels are essential for informing consumers about the potential harms of tobacco use, including e-cigarettes. However, in a rapidly changing digital landscape, social media platform policies often lag behind, leaving digital marketing largely unchecked.
Quantifying the spread of racist content on fringe social media: A case study of Parler
Introduction Online racist content is rooted in centuries-old colonial and post-colonial structural inequalities (Daniels, 2013). Longstanding racist narratives and messaging have been reshaped and refashioned into seemingly new racist content on the Internet (Mathew and Prashad, 2000). Racism has been shape shifting over the centuries, is highly malleable, and can have varied targets depending on context.
Generative artificial intelligence and social media: insights for tobacco control
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[2408.06900] Entendre, a Social Bot Detection Tool for Niche, Fringe, and Extreme Social Media
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[2303.02374] Social Media COVID-19 Contact Tracing Using Mobile Social Payments and Facebook Data
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Do We Tweet Differently From Our Mobile Devices? A Study of Language Differences on Mobile and Web‐Based Twitter Platforms
Original Article Dhiraj Murthy Corresponding Author Department of Sociology, Goldsmiths, University of London, London, SE14 6NW UK Corresponding author: Dhiraj Murthy; e‐mail: d.murthy@gold.ac.uk Search for more papers by this author Abstract Using Twitter as a case study, this article hypothesizes that social media content that is produced on mobile versus web platforms may be qualitatively different.
(DOC) Strategic management in folk music: A qualitative case study of Nepali music management in the UK [Masters Dissertation]
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Who tweets about cancer? An analysis of cancer-related tweets in the USA
AbstractCancer patients, family members and friends are increasingly using social media. Some oncologists and oncology centres are engaging with social media, and advocacy groups are using it to disseminate information and coordinate fundraising efforts. However, the question of whether such social media activity corresponds to areas with higher incidence of cancer or higher access to cancer centres remains understudied.
Big Data solutions on a small scale: Evaluating accessible high-performance computing for social research
Though full of promise, Big Data research success is often contingent on access to the newest, most advanced, and often expensive hardware systems and the expertise needed to build and implement such systems. As a result, the accessibility of the growing number of Big Data-capable technology solutions has often been the preserve of business analytics. Pay as you store/process services like Amazon Web Services have opened up possibilities for smaller scale Big Data projects.
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