On December 11, we highlighted three new articles from the Journal of Advertising Research on how emotion, control, and context shape the evolving dynamics of ad effectiveness in the digital age. Across sessions, speakers emphasized that consumer engagement is shaped not just by creative content, but by emotional responses, timing, predictability, and personal context. The discussion underscored the importance of designing advertising strategies that balance attention capture with trust, comfort, and long-term effectiveness.
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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.
Member Only Access
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.
Member Only Access
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.
Member Only Access
