Rating the Audience: the Business of Media
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Hybrid Online Audience Measurement Calculations Are Only As Good As the Input Data Quality
People First: A User-Centric Hybrid Online Audience by John Brauer, Manager, Product Leadership, Measurement Model Nielsen Overview As with any media measurement methodology, hybrid online audience measurement calculations are only as good as the input data quality. Hybrid online audience measurement goes beyond a single metric to forecast online audiences more accurately by drawing on multiple data sources. The open question for online publishers and advertisers is, ‘Which hybrid audience measurement model provides the most accurate measure?’ • User-centric online hybrid models rely exclusively on high quality panel data for audience measurement calculations, then project activity to all sites informed by consumer behavior patterns on tagged sites • Site-centric online hybrid models depend on cookies for audience calculations, subject to the inherent weaknesses of cookie data that cannot tie directly to unique individuals and their valuable demographic information • Both hybrid models assume that panel members are representative of the universe being measured and comprise a base large enough to provide statistical reliability, measured in a way that accurately captures behavior • The site-centric hybrid model suffers from the issue of inaccurately capturing unique users as a result of cookie deletion and related activities that can result in audience measurement estimates different than the actual number • Rapid uptake of new online access devices further exacerbates site-centric cookie data tracking issues (in some cases overstating unique browsers by a factor of five) by increasing the likelihood of one individual representing multiple cookies Only the user-centric hybrid model enables a fair comparison of audiences across all web sites, avoids the pitfall of counting multiple cookies versus unique users, and employs a framework that anticipates future changes such as additional data sets and access devices. -
Political Socialization, Public Opinion, and Polling
Political Socialization, Public Opinion, and Polling asic Tenants of American olitical Culture iberty/Freedom People should be free to live their lives with minimal governmental interference quality Political, legal, & of opportunity, but not economic equality ndividualism Responsibility for own decisions emocracy Consent of the governed Majority rule, with minority rights Citizen responsibilities (voting, jury duty, etc.) olitical Culture vs. Ideology Most Americans share common beliefs in he democratic foundation of government culture) yet have differing opinions on the proper role & scope of government ideology) olitical Socialization Process through which an individual acquires particular political orientations, beliefs, and values at factors influence political opinion mation? Family #1 source for political identification Between 60-70% of all children agree with their parents upon reaching adulthood. If one switches his/her party affiliation it usually goes from Republican/Democrat to independent hat factors influence political opinion mation? School/level of education “Building good citizens”- civic education reinforces views about participation Pledge of Allegiance Volunteering Civic pride is nation wide Informed student-citizens are more likely to participate/vote as adults Voting patterns based on level of educational attainment hat factors influence political opinion rmation? Peer group/occupation Increases in importance during teen years Occupational influences hat factors influence political opinion mation? Mass media Impact -
EFAMRO / ESOMAR Position Statement on the Proposal for an Eprivacy Regulation —
EFAMRO / ESOMAR Position Statement on the Proposal for an ePrivacy Regulation — April 2017 EFAMRO/ESOMAR Position Statement on the Proposal for an ePrivacy Regulation April 2017 00. Table of contents P3 1. About EFAMRO and ESOMAR 2. Key recommendations P3 P4 3. Overview P5 4. Audience measurement research P7 5. Telephone and online research P10 6. GDPR framework for research purposes 7. List of proposed amendments P11 a. Recitals P11 b. Articles P13 2 EFAMRO/ESOMAR Position Statement on the Proposal for an ePrivacy Regulation April 2017 01. About EFAMRO and ESOMAR This position statement is submitted In particular our sector produces research on behalf of EFAMRO, the European outcomes that guide decisions of public authorities (e.g. the Eurobarometer), the non- Research Federation, and ESOMAR, profit sector including charities (e.g. political the World Association for Data, opinion polling), and business (e.g. satisfaction Research and Insights. In Europe, we surveys, product improvement research). represent the market, opinion and In a society increasingly driven by data, our profession ensures the application of appropriate social research and data analytics methodologies, rigour and provenance controls sectors, accounting for an annual thus safeguarding access to quality, relevant, turnover of €15.51 billion1. reliable, and aggregated data sets. These data sets lead to better decision making, inform targeted and cost-effective public policy, and 1 support economic development - leading to ESOMAR Global Market Research 2016 growth and jobs. 02. Key Recommendations We support the proposal for an ePrivacy Amendment of Article 8 and Recital 21 to enable Regulation to replace the ePrivacy Directive as research organisations that comply with Article this will help to create a level playing field in a true 89 of the General Data Protection Regulation European Digital Single Market whilst increasing (GDPR) to continue conducting independent the legal certainty for organisations operating in audience measurement research activities for different EU member states. -
Summary of Human Subjects Protection Issues Related to Large Sample Surveys
Summary of Human Subjects Protection Issues Related to Large Sample Surveys U.S. Department of Justice Bureau of Justice Statistics Joan E. Sieber June 2001, NCJ 187692 U.S. Department of Justice Office of Justice Programs John Ashcroft Attorney General Bureau of Justice Statistics Lawrence A. Greenfeld Acting Director Report of work performed under a BJS purchase order to Joan E. Sieber, Department of Psychology, California State University at Hayward, Hayward, California 94542, (510) 538-5424, e-mail [email protected]. The author acknowledges the assistance of Caroline Wolf Harlow, BJS Statistician and project monitor. Ellen Goldberg edited the document. Contents of this report do not necessarily reflect the views or policies of the Bureau of Justice Statistics or the Department of Justice. This report and others from the Bureau of Justice Statistics are available through the Internet — http://www.ojp.usdoj.gov/bjs Table of Contents 1. Introduction 2 Limitations of the Common Rule with respect to survey research 2 2. Risks and benefits of participation in sample surveys 5 Standard risk issues, researcher responses, and IRB requirements 5 Long-term consequences 6 Background issues 6 3. Procedures to protect privacy and maintain confidentiality 9 Standard issues and problems 9 Confidentiality assurances and their consequences 21 Emerging issues of privacy and confidentiality 22 4. Other procedures for minimizing risks and promoting benefits 23 Identifying and minimizing risks 23 Identifying and maximizing possible benefits 26 5. Procedures for responding to requests for help or assistance 28 Standard procedures 28 Background considerations 28 A specific recommendation: An experiment within the survey 32 6. -
The Evidence from World Values Survey Data
Munich Personal RePEc Archive The return of religious Antisemitism? The evidence from World Values Survey data Tausch, Arno Innsbruck University and Corvinus University 17 November 2018 Online at https://mpra.ub.uni-muenchen.de/90093/ MPRA Paper No. 90093, posted 18 Nov 2018 03:28 UTC The return of religious Antisemitism? The evidence from World Values Survey data Arno Tausch Abstract 1) Background: This paper addresses the return of religious Antisemitism by a multivariate analysis of global opinion data from 28 countries. 2) Methods: For the lack of any available alternative we used the World Values Survey (WVS) Antisemitism study item: rejection of Jewish neighbors. It is closely correlated with the recent ADL-100 Index of Antisemitism for more than 100 countries. To test the combined effects of religion and background variables like gender, age, education, income and life satisfaction on Antisemitism, we applied the full range of multivariate analysis including promax factor analysis and multiple OLS regression. 3) Results: Although religion as such still seems to be connected with the phenomenon of Antisemitism, intervening variables such as restrictive attitudes on gender and the religion-state relationship play an important role. Western Evangelical and Oriental Christianity, Islam, Hinduism and Buddhism are performing badly on this account, and there is also a clear global North-South divide for these phenomena. 4) Conclusions: Challenging patriarchic gender ideologies and fundamentalist conceptions of the relationship between religion and state, which are important drivers of Antisemitism, will be an important task in the future. Multiculturalism must be aware of prejudice, patriarchy and religious fundamentalism in the global South. -
Indicators for Support for Economic Integration in Latin America
Pepperdine Policy Review Volume 11 Article 9 5-10-2019 Indicators for Support for Economic Integration in Latin America Will Humphrey Pepperdine University, School of Public Policy, [email protected] Follow this and additional works at: https://digitalcommons.pepperdine.edu/ppr Recommended Citation Humphrey, Will (2019) "Indicators for Support for Economic Integration in Latin America," Pepperdine Policy Review: Vol. 11 , Article 9. Available at: https://digitalcommons.pepperdine.edu/ppr/vol11/iss1/9 This Article is brought to you for free and open access by the School of Public Policy at Pepperdine Digital Commons. It has been accepted for inclusion in Pepperdine Policy Review by an authorized editor of Pepperdine Digital Commons. For more information, please contact [email protected], [email protected], [email protected]. Indicators for Support for Economic Integration in Latin America By: Will Humphrey Abstract Regionalism is a common phenomenon among many countries who share similar infrastructures, economic climates, and developmental challenges. Latin America is no different and has experienced the urge to economically integrate since World War II. Research literature suggests that public opinion for economic integration can be a motivating factor in a country’s proclivity to integrate with others in its geographic region. People may support integration based on their perception of other countries’ models or based on how much they feel their voice has political value. They may also fear it because they do not trust outsiders and the mixing of societies that regionalism often entails. Using an ordered probit model and data from the 2018 Latinobarómetro public opinion survey, I find that the desire for a more alike society, opinion on the European Union, and the nature of democracy explain public support for economic integration. -
Rating the Audience: the Business of Media
Balnaves, Mark, Tom O'Regan, and Ben Goldsmith. "Bibliography." Rating the Audience: The Business of Media. London: Bloomsbury Academic, 2011. 256–267. Bloomsbury Collections. Web. 2 Oct. 2021. <>. Downloaded from Bloomsbury Collections, www.bloomsburycollections.com, 2 October 2021, 14:23 UTC. Copyright © Mark Balnaves, Tom O'Regan and Ben Goldsmith 2011. You may share this work for non-commercial purposes only, provided you give attribution to the copyright holder and the publisher, and provide a link to the Creative Commons licence. Bibliography Adams, W.J. (1994), ‘Changes in ratings patterns for prime time before, during, and after the introduction of the people meter’, Journal of Media Economics , 7: 15–28. Advertising Research Foundation (2009), ‘On the road to a new effectiveness model: Measuring emotional responses to television advertising’, Advertising Research Foundation, http://www.thearf.org [accessed 5 July 2011]. Andrejevic, M. (2002), ‘The work of being watched: Interactive media and the exploitation of self-disclosure’, Critical Studies in Media Communication , 19(2): 230–48. Andrejevic, M. (2003), ‘Tracing space: Monitored mobility in the era of mass customization’, Space and Culture , 6(2): 132–50. Andrejevic, M. (2005), ‘The work of watching one another: Lateral surveillance, risk, and governance’, Surveillance and Society , 2(4): 479–97. Andrejevic, M. (2006), ‘The discipline of watching: Detection, risk, and lateral surveillance’, Critical Studies in Media Communication , 23(5): 392–407. Andrejevic, M. (2007), iSpy: Surveillance and Power in the Interactive Era , Lawrence, KS: University Press of Kansas. Andrews, K. and Napoli, P.M. (2006), ‘Changing market information regimes: a case study of the transition to the BookScan audience measurement system in the US book publishing industry’, Journal of Media Economics , 19(1): 33–54. -
Big Data and Audience Measurement: a Marriage of Convenience? Lorie Dudoignon*, Fabienne Le Sager* Et Aurélie Vanheuverzwyn*
Big Data and Audience Measurement: A Marriage of Convenience? Lorie Dudoignon*, Fabienne Le Sager* et Aurélie Vanheuverzwyn* Abstract – Digital convergence has gradually altered both the data and media worlds. The lines that separated media have become blurred, a phenomenon that is being amplified daily by the spread of new devices and new usages. At the same time, digital convergence has highlighted the power of big data, which is defined in terms of two connected parameters: volume and the frequency of acquisition. Big Data can be as voluminous as exhaustive and its acquisition can be as frequent as to occur in real time. Even though Big Data may be seen as risking a return to the paradigm of census that prevailed until the end of the 19th century – whereas the 20th century belonged to sampling and surveys. Médiamétrie has chosen to consider this digital revolution as a tremendous opportunity for progression in its audience measurement systems. JEL Classification : C18, C32, C33, C55, C80 Keywords: hybrid methods, Big Data, sample surveys, hidden Markov model Reminder: The opinions and analyses in this article are those of the author(s) and do not necessarily reflect * Médiamétrie ([email protected]; [email protected]; [email protected]) their institution’s or Insee’s views. Receveid on 10 July 2017, accepted on 10 February 2019 Translation by the authors from their original version: “Big Data et mesure d’audience : un mariage de raison ?” To cite this article: Dudoignon, L., Le Sager, F. & Vanheuverzwyn, A. (2018). Big Data and Audience Measurement: A Marriage of Convenience? Economie et Statistique / Economics and Statistics, 505‑506, 133–146. -
Public Opinion Survey: Residents of Armenia
Public Opinion Survey: Residents of Armenia February 2021 Detailed Methodology • The survey was conducted on behalf of “International Republican Institute’s” Center for Insights in Survey Research by Breavis (represented by IPSC LLC). • Data was collected throughout Armenia between February 8 and February 16, 2021, through phone interviews, with respondents selected by random digit dialing (RDD) probability sampling of mobile phone numbers. • The sample consisted of 1,510 permanent residents of Armenia aged 18 and older. It is representative of the population with access to a mobile phone, which excludes approximately 1.2 percent of adults. • Sampling frame: Statistical Committee of the Republic of Armenia. Weighting: Data weighted for 11 regional groups, age, gender and community type. • The margin of error does not exceed plus or minus 2.5 points for the full sample. • The response rate was 26 percent which is similar to the surveys conducted in August-September 2020. • Charts and graphs may not add up to 100 percent due to rounding. • The survey was funded by the U.S. Agency for International Development. 2 Weighted (Disaggregated) Bases Disaggregate Disaggregation Category Base Share 18-35 years old n=563 37% Age groups 36-55 years old n=505 34% 56+ years old n=442 29% Male n=689 46% Gender Female n=821 54% Yerevan n=559 37% Community type Urban n=413 27% Rural n=538 36% Primary or secondary n=537 36% Education Vocational n=307 20% Higher n=665 44% Single n=293 19% Marital status Married n=1,059 70% Widowed or divorced n=155 10% Up -
World Values Surveys and European Values Surveys, 1999-2001 User Guide and Codebook
ICPSR 3975 World Values Surveys and European Values Surveys, 1999-2001 User Guide and Codebook Ronald Inglehart et al. University of Michigan Institute for Social Research First ICPSR Version May 2004 Inter-university Consortium for Political and Social Research P.O. Box 1248 Ann Arbor, Michigan 48106 www.icpsr.umich.edu Terms of Use Bibliographic Citation: Publications based on ICPSR data collections should acknowledge those sources by means of bibliographic citations. To ensure that such source attributions are captured for social science bibliographic utilities, citations must appear in footnotes or in the reference section of publications. The bibliographic citation for this data collection is: Inglehart, Ronald, et al. WORLD VALUES SURVEYS AND EUROPEAN VALUES SURVEYS, 1999-2001 [Computer file]. ICPSR version. Ann Arbor, MI: Institute for Social Research [producer], 2002. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2004. Request for Information on To provide funding agencies with essential information about use of Use of ICPSR Resources: archival resources and to facilitate the exchange of information about ICPSR participants' research activities, users of ICPSR data are requested to send to ICPSR bibliographic citations for each completed manuscript or thesis abstract. Visit the ICPSR Web site for more information on submitting citations. Data Disclaimer: The original collector of the data, ICPSR, and the relevant funding agency bear no responsibility for uses of this collection or for interpretations or inferences based upon such uses. Responsible Use In preparing data for public release, ICPSR performs a number of Statement: procedures to ensure that the identity of research subjects cannot be disclosed. -
Independent Study on Indicators for Media Pluralism in the Member States – Towards a Risk-Based
Independent Study on Indicators for Media Pluralism in the Member States – Towards a Risk-Based Approach Prepared for the European Commission Directorate-General Information Society and Media SMART 007A 2007-0002 by K.U.Leuven – ICRI (lead contractor) Jönköping International Business School - MMTC Central European University - CMCS Ernst & Young Consultancy Belgium Preliminary Final Report Contract No.: 30-CE-0154276/00-76 Leuven, April 2009 Editorial Note: The findings reported here provide the basis for a public hearing to be held in Brussels in the spring of 2009. The Final Report will take account of comments and suggestions made by stakeholders at that meeting, or subsequently submitted in writing. The deadline for the submission of written comments will be announced at the hearing as well as on the website of the European Commission from where this preliminary report is available. Prof. Dr. Peggy Valcke Project leader Independent Study on “Indicators for Media Pluralism in the Member States – Towards a Risk-Based Approach” AUTHORS OF THE REPORT This study is carried out by a consortium of three academic institutes, K.U. Leuven – ICRI, Central European University – CMCS and Jönköping International Business School – MMTC, and a consultancy firm, Ernst & Young Consultancy Belgium. The consortium is supported by three categories of subcontractors: non-affiliated members of the research team, members of the Quality Control Team and members of the network of local media experts (‘Country Correspondents’). The following persons have contributed to the Second Interim Report: For K.U.Leuven – ICRI: Prof. Dr. Peggy Valcke (project leader; senior legal expert) Katrien Lefever Robin Kerremans Aleksandra Kuczerawy Michael Dunstan and Jago Chanter (linguistic revision) For Central European University – CMCS: Prof. -
ESOMAR/WAPOR Guide to Opinion Polls- Including the ESOMAR International Code of Practice for the Publication of Public Opinion Poll Results Contents
} ESOMAR/WAPOR Guide to Opinion Polls- including the ESOMAR International Code of Practice for the Publication of Public Opinion Poll Results Contents Introduction to the Guide Opinion Polls and Democracy Representativeness of Opinion Polls International Code of Practice for the Publication of Public Opinion Poll Results Guideline to the Interpretation of the International Code of Practice for the Publication of Public Opinion Poll Results Guidelines on Practical Aspects of Conducting Pre-Election Opinion Polls Introduction to the Guide Public opinion polls are regularly conducted and published in many countries. They measure not only support for political parties but also public opinion on a wide range of social and political issues and are published frequently in a variety of newspapers and broadcast media. They are the subject of much discussion by the public, journalists and politicians, some of whom wish to limit or ban them completely. In a small number of European countries legislation actually exists which restricts the publication of opinion polls during the late stages of election campaigns. The public discussion of opinion polls is not always well informed. The case for restriction on the publication of polls during election campaigns is hard to support with rational argument or empirical evidence. ESOMAR has produced the present booklet in order to help those interested in the subject of opinion polls to reach a more informed judgement about the value of such polls and the most appropriate ways of conducting and reporting them. WAPOR joins ESOMAR in the publication of this booklet. The WAPOR Council endorses all recommendations put forward in this document.