Jun 23 - Jun 23, 2022
Listen to leading professors and gain actionable insights based on peer-reviewed scientific studies published in the Journal of Marketing.
Although marketing researchers are increasingly using web data, the idiosyncratic and sometimes insidious challenges in its collection have received limited attention. How can researchers ensure that the datasets generated via web scraping and APIs are valid? This Journal of Marketing study proposes a novel framework that highlights how addressing validity concerns requires the joint consideration of idiosyncratic technical and legal/ethical questions. The framework covers the broad spectrum of validity concerns arising from the automatic collection of web data for academic use along the three stages of collecting web data: selecting data sources, designing the data collection, and extracting the data.