Media Exposure Measures

This interactive website is a reference for researchers to find measures used in previous research on Media Exposure, located in one place! The goal of this website is to create an online environment that supports and encourages users to participate in an ongoing consensus building process aimed at improving the science of Media Exposure measures.

Users of this website:

  • Have access to Media Exposure measures.

  • Can contribute & update the existing information.

  • Can add measures to the database.

  • Have the ability to rate & comment on measures.

News and announcements

Special issue of Communication Methods and Measures

Special issue of Communication Methods and Measures (Guest Editors: Claes de Vreese and Peter Neijens) published:

Useful sources

Wharton Customer Analytics Initiative

WCAI (Upenn) is an academic research center focusing on the development and application of customer analytics methods. See:

Grid-Enabled Measures database

GEM (National Cancer Institute USA) is a web-based collaborative tool containing behavioral, social science, and other relevant scientific measures. See:

Council for research excellence

The mission of the Council for Research Excellence is to advance the knowledge and practice of methodological research on audience measurement through the active collaboration of Nielsen and its clients. See:


Althaus, S. L., & Tewksbury, D. H. (2007). Toward a new generation of media use measures for the ANES (Report No. nes011903).

Annenberg Media Exposure Research Group (2008). Linking measures of media exposure to sexual cognitions and behaviors: A review. Communication Methods and Measures, 2, 23–42.

Appel, V., Weinstein, S., & Weinstein, C. (1979). Brain activity and recall of TV advertising. Journal of Advertising Research, 19(4), 7–18.

Araujo, T., Neijens, P. C. & Vliegenthart, R. (2015). What motivates consumers to re-tweet brand content? The impact of information, emotion, and traceability on pass-along behavior. Journal of Advertising Research, 55(3), 284–295.

Belli, R. (1998). The structure of autobiographical memory and the event history calendar: Potential improvements in the quality of retrospective reports in surveys. Memory, 6(4), 383–406.

Belson, W. A. (1981). The design and understanding of survey questions. Aldershot, UK: Gower.

Biener, L., Wakefield, M., Shiner, C. M., & Siegel, M. (2008). How broadcast volume and emotional content affect youth recall of anti–tobacco advertising. American Journal of Preventive Medicine, 35(1), 14–19.

Boyd, D., & Crawford, K. (2012). Critical questions for big data: Provocations for a cultural, technological, and scholarly phenomenon. Information, Communication and Society, 15(5), 662–679.

Brown, N. R., & Sinclair, R. C. (1999). Estimating number of lifetime sexual partners: Men and women do it differently. Journal of Sex Research, 36(3), 292–297.

Burton, S., & Blair, E. (1991). Task conditions, response formulation processes, and response accuracy for behavioral frequency questions in surveys. Public Opinion Quarterly, 55(1), 50–79.

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