NYCU: The Future of Media Measurement
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methods
NYCU: How to Improve Demographic & Media Use Data
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As the industry debates the future of audience measurement, the ARF’s upcoming AUDIENCExSCIENCE conference puts this issue front and center. Read more »
CMO Briefs: Understanding Biases in Panel and Census Research Using AI/ML
Numerous bias types can impact panel and census research. Artificial intelligence (AI) and machine learning (ML) algorithms can perpetuate them. This is true of surveys, panels and the big data sets that are often used to calibrate each other. The following report touches on some of the biases that can occur, where they may affect panel and census research that use AI/ML and mitigation efforts to account for them. Read the article.
KaH: Understanding Biases in Panel and Census Research Using AI/ML
Numerous biases can impact panel and census research. While some believe that artificial intelligence (AI) and machine learning (ML) offer easy ways to circumvent them, the truth is, algorithms can perpetuate such biases. This is true of surveys, panels and the big data sets that are often used to calibrate each other. The following report covers the numerous biases that can occur, where they may infiltrate panel and census research that use AI/ML and mitigation efforts to account for them. Read the article.
NYCU: CIMM Launches “Passive TV Measurement Study”
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One of the essential goals of advertising is to get customers’ attention. However, a lot of campaigns approach this simplistically. More “attention” does not necessarily mean an ad is more effective. Attention is a much more complex phenomenon than that. While attention is a prerequisite for ad impact, the term is ambiguous, complex and attention is difficult to measure. Moreover, “attention” does not necessarily indicate a positive response, and a high level of attention is not always a sign of a positive ad impact. Read more.
KaH: Attention and Ad Impact: New Insights from New Research
One of the essential goals of advertising is to get customers’ attention. However, a lot of campaigns approach this simplistically. More “attention” does not necessarily mean an ad is more effective. Attention is a much more complex phenomenon than that. While attention is a prerequisite for ad impact, the term is ambiguous, complex and attention is difficult to measure. Moreover, “attention” does not necessarily indicate a positive response, and a high level of attention is not always a sign of a positive ad impact. Read more.