Seminars

The Centre for Media, Politics and Communication Research (UNUK) and the Digital and Sustainable Journalism Lab (UNNC) co-organised Cross-campus Research Seminar Series in 2026.

Vikrant Kishore: Ethnic and Community Media Practice (UNNC)
15 January 2026

This seminar will examine the role of ethnic and community media as crucial communicative spaces for diasporic groups. Drawing on examples from Indian-Australian media, it considers how these outlets inform, connect and advocate for their communities while working within structural and financial limits. Ethnic media are shaped by questions of identity, representation and cultural expression, offering news and commentary that mainstream outlets often overlook. They also negotiate internal differences related to language, religion, caste and class, while responding to emerging social concerns such as misinformation, social cohesion and intercultural exchange. The session will discuss how community media producers balance audience expectations, editorial responsibility and public engagement, and how their work contributes to societal sustainability through digital transformation, cultural representation and dialogue across communities. These issues provide a foundation for understanding ethnic media as active participants in multicultural societies, with the capacity to support community voice and visibility.

Sadia Jamil: AI-driven transformations and Ethical Dilemmas for News and Media Industries (UNNC)
4 March 2026

Artificial Intelligence (AI) is revolutionizing media and journalism, reshaping processes, content, and audience relationship. This talk highlights the opportunities and challenges AI brings to these industries, emphasizing the importance of integrating ethical principles and human-centric approaches to its development. The talk reflects upon how AI reshapes content creation, distribution, and audience interaction while addressing the ethical, political, and economic implications of its integration. Key aspects include the ethical challenges posed by AI—such as bias, transparency, and accountability—and the need for robust governance structures to foster trust and fairness in AI-driven media system.