About CMCONF — An International Communication Research Conference

TThe timing matters. In only a few years, generative AI has entered newsrooms, agencies and classrooms; platforms have changed how audiences find, share and trust information; and local journalism, public service media and the business models behind them are under pressure. These shifts raise questions that no single discipline can answer alone. CMCONF is designed as a media research conference where journalism scholars, sociologists, psychologists, cultural studies researchers, computational social scientists and practitioners can compare methods and findings in one place.

Researchers at every career stage are welcome, including doctoral candidates presenting their first work. If you are looking for a broad media studies conference with a strong research focus, this is where your work will find an engaged, international audience.

Every submission is assessed through double-blind peer review, so reviewers and authors do not know each other's identities. Reviewers judge relevance to the conference scope, originality, clarity of aims and methods, and the quality of the argument or evidence. Submissions are screened for similarity with iThenticate, and authors confirm that their work is original, approved by all co-authors and, where it involves human participants, conducted with appropriate ethical approval and consent.

Research using social media posts, platform data or online communities should respect data protection law, platform terms and the privacy of the people whose content is studied. Authors are expected to describe their data and methods transparently, so that findings can be discussed and compared fairly. The conference is open to participants of every background, discipline and career stage.