JMR Updates – May 2025
Introduction
Appropriate use of AI in submissions to the Journal of Marketing Research, attention spillover, more
INTEREST CATEGORY: SECTORS
POSTING TYPE: Journal News
Posted by: Rebecca Hamilton
Attention Spillovers from News to Ads with Andrey Simonov, Tommaso Valletti, and Andre Veiga in Episode 19 of How I Wrote This
Does the content of a news article influence the effectiveness of ads placed within it? In this , JMR Co-Editor discusses the recently published paper, , with authors (Columbia Business School), , and (both from Imperial College Business School). The idea for the paper was born in the early days of the COVID-19 pandemic, when the researchers learned that some advertisers were using block lists to prevent their ads from appearing on publishers’ websites with pandemic-related news content. Did the advertisers have a point? Or, they wondered, might this be based on a misunderstanding of how we, the audience, actually engage with content and the ads that appear alongside it? Find out in .
Listen on , , or wherever you get your podcasts.
What is Appropriate Use of AI when preparing a JMR submission?
When submitting a paper to JMR, authors are now asked to disclose their use of large language models (LLMs) and generative artificial intelligence (AI), consistent with the . There are many legitimate uses of AI in the research and writing process: LLMs can be used to generate experimental stimuli or proofread drafts. Yet LLMs can also fabricate references and generate false content, violating the and giving editors grounds for rejection. How can authors judge what is an appropriate use of AI?
In a recent , Co-Editor Brett Gordon encourages authors to think of AI as a research assistant (RA), asking themselves whether it would be appropriate to use an RA to help with the same task. At the end of the day, we, as authors, are responsible for ensuring that our submissions are accurate, ethically produced, and meet the .
JMRs New Statistical Reporting Guidelines
To encourage communication of more informative results, . When preparing their manuscript, authors will be asked to report effect sizes for results, include standard errors in tables, and report exact p-values (to three digits) rather than thresholds (such as p < .05) or asterisks that signify thresholds (e.g., *p < .05, **p < .01).