Status: Open
Organisation: Oxford University Press
Deadline: 10/04/2026
Location: Online
Oxford Intersections has launched a call for papers, inviting abstracts for new interdisciplinary research articles on topics related to news, journalism, and trust in AI-shaped information environments. In 2025, Oxford University Press launched a new type of resource: Oxford Intersections.
Oxford Intersections reflects the critical role that peer-reviewed interdisciplinary research plays in helping policy- and decision-makers tackle the world’s most complex and urgent challenges. The section “News, Journalism, and Trust in the Age of Generative AI” within the Social Media in Society and Culture Intersection examines how generative artificial intelligence is transforming contemporary news and information ecosystems.
Thematics
Specifically, Oxford Intersections is seeking abstracts on the following topics:
- Generative AI, synthetic news, and the erosion or transformation of epistemic trust in digital information environments
- AI-generated content and its influence on perceptions of credibility in journalism and public communication
- Media bias in the age of algorithmic amplification, including personalization systems, recommender infrastructures, and audience perceptions of bias
- The shifting balance between journalistic authority and platform power in shaping news visibility and distribution
- Misinformation and disinformation in the context of AI-enhanced virality, including echo chambers, polarization, and amplification dynamics
- Synthetic media and deepfakes in news and political communication
- Emerging verification infrastructures, fact-checking systems, and authentication technologies responding to synthetic media
- The role of social media platforms in shaping contemporary news ecosystems and information flows
- Platform governance, algorithmic curation, and their impact on journalism and democratic discourse
- Global inequalities in AI-shaped information environments, including asymmetries in platform governance, data infrastructures, and technological power
- Perspectives from the Global South and underrepresented regions on generative AI and information governance
Eligibility
- Oxford Intersections welcomes contributors from diverse backgrounds, spanning disciplines, institutions, geographies, and career stages.
- Authors may include researchers, academics, professionals, practitioners, PhD students, and on occasion final-year master’s students.
- Manuscripts should be original and not previously published or under consideration elsewhere.
- Abstracts should be submitted for one unit/section only; please indicate the section title “News, Journalism, and Trust in the Age of Generative AI” at the top of your abstract.
- If accepted, articles should run between 5–8K words and will be rigorously peer reviewed and subject to editorial approval before publication.
How to apply
To be considered, submit to nuurrianti.jalli@okstate.edu and cc nuurrianti@gmail.com a single document including:
- An abstract of no more than 500 words
- A brief CV for each author
The last date for abstract submission is April 10, 2026.
For more information, please visit this page.