On October 25, 2022, media and measurement experts shared the latest research-based insights about today’s media landscape at OTT 2022 held on the Warner Bros. Discovery Studio Lot in Burbank, CA. Attendees learned more about what viewers really want when it comes to FAST, AVOD and SVOD, and whether there are viable solutions for cross-platform measurement.
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Coinciding with Hispanic Heritage Month, Nielsen has released a new report, “Latino-led content and viewers: The building blocks for streaming’s success.” Read more »
May 5, 2022 — Episode #4: Contending with Algorithmic Bias, a conversation with, Janelle James, SVP, Ipsos IUU (Council Co-Chair), Kalinda Ukanwa, Assistant Professor of Marketing at USC’s Marshall School of Business. Amanda Bower, Machine Learning Researcher at Twitter. Hui Wang, VP/Director of Global Data Intelligence – Analytics Service, at Publicis Media. Kathy Sheehan, Senior Vice President at Cassandra. Ilinca Barsan, Data Science Director at Wunderman Thompson.
We’re increasingly dependent on algorithms in a variety of areas. This has led to problems with algorithmic bias, in which statistical and econometric models or a programmed set of instructions systematically treats members of some groups differently than others. This can be due to the unconscious biases of engineers who build the models, biases in the data they are trained on, biases inherent in the models themselves or algorithms’ treatment of human attributes as single, isolated components rather than intersectional identities. We look at the ways in which models, programs, and algorithms in the media, marketing, and advertising industries can unintentionally favor majority populations and ignore or even discriminate against minority segments and how to overcome this problem.
June 17, 2022 — Episode #5: Contending with Algorithmic Bias pt 2 , A conversation with, Kalinda Ukanwa, an Assistant Professor of Marketing at USC’s Marshall School of Business. Amanda Bower, a machine learning researcher at Twitter.
Technology is an essential part of our everyday life. We rely on it to help us navigate our finance, employment, housing, health care and purchases, among other things. But, perhaps unknowingly, we may be impacted by algorithmic bias, in which systematic repeatable errors in AI treat members of some groups differently than others. In part two of our look at algorithmic bias, we delve further into what consumers and companies can do about it.
This ARF Cognition Council event explored how brands can improve consumers’ perceptions of their pro-social messaging based on insights from fresh analyses of data from a variety of sources. Experts from Ipsos, Dartmouth College and Research Measurement Technologies shed light on a diverse range of research on ways that brands can convey pro-social messages in their advertising.
Member Only AccessThe newly published ARF Diversity Report is a comprehensive summary of research on the state of diversity in the marketing industry, and how diversity affects company and marketing campaign performance.
The 2020 US census revealed that the United States is far more diverse and multiracial today than ever before in its history. Approximately 38% of the population belong to racial minority groups. The trend is expected to continue, which has resulted in companies increasing their focus on Diversity, Equity and Inclusion (DEI), both internally and in their marketing efforts. In order to inform member companies of where we are as an industry, as well as to offer best practices and actionable insights in their own DEI efforts, the ARF has put together The Diversity Report. The report is available for purchase, as a fundraising effort to support ARF WIDE.
Member Only AccessARF WIDE’s mission to develop and nurture the next generation of diverse talent in the research and insights industry is imperative to building a workforce that will make our industry better at what we do – representing the Voice of the Consumer.
Kantar’s Deepak Varma presented research on racial representation in advertising which sought to understand consumer reactions to single race ads compared to multi-racial and diverse ads from diverse audiences (Black Americans, Hispanics, Asians and Whites). Using creative assessment tools coupled with facial coding, eye-tracking and intuitive associations, the study measured unconscious bias in addition to explicit and implicit reactions to advertising. Breaking down consumer responses to diverse ads from Uber, Instacart and Bounty, Deepak stressed the importance of emotional connections through powerful stories that cut across all races.
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America in the 21st century is far more diverse than it was in the 20th. In fact, the Millennial generation is the most diverse in all of U.S. history. And this trend is expected to continue. As a result, brands must increasingly appeal to diverse audiences in order to remain relevant. How can they do that successfully?
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