The use of artificial intelligence (AI) in journalism is becoming more mainstream. Personalized news feeds, AI-based investigative reporting, and automated article generation are but a few ways that AI is transforming both news content creation and consumption. Implementing AI-based technologies can be both monetarily expensive and technically complex, making its use challenging by smaller news…
Category: Projects
Newsomatic: A Prototype to Explore Physicality and News Personalization
Journalism audiences are no longer solely reliant on traditional forms of media distribution such as print, radio and television to learn about relevant news. Internet-based platforms and digital technologies have reshaped how individuals can receive important news information. This shift has changed the physicality of how audiences engage with news, audiences have moved away from…
BulletinBot: Personalized Automated Audio News Bulletins and How text to speech could disrupt the news industry
This project examined how emerging text-to-speech technologies could be combined with news personalization techniques to deliver automated audio based news bulletins. With the creation of BulletinBot, a simple automated news bulletin system, this research explored how news organizations could automate elements of the news delivery process and illustrate issues that surround this approach.
NEWSFLOWS: Research Internship
As part of my coursework in the PhD in Media and Design program, I undertook an internship working with Dr. Damian Trilling at the University of Amsterdam, contributing to the NEWSFLOWS project. Given the context of increased use of both algorithmically driven news personalization and social media platforms as a space for news discovery, the…
News Personalization: Do Journalism Audiences Prefer Algorithms Over Editors?
My final project-paper as part of my Master’s in Communication and Culture explores what motivates news organizations to employ algorithmically driven news personalization techniques and develops a methodology to determine whether journalism audiences have a preference between story lineups determined by an editor or by an algorithm. This work also examines whether news personalization systems…
An Automated Approach to Measuring Online Deliberation
This project proposes a framework for an automated method to measure online deliberation by analyzing commentary surrounding a complex social issue. By employing a combination of analytic calculations, alongside tools such as Google Perspective and LIWC, we assess the sentiment and quality of online deliberation using established measures of deliberation including rationality, interactivity, equality, civility…