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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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Talking M&Ms, Mr. Peanut, the Michelin Man and the Pillsbury Doughboy are among the most popular anthropomorphic product characters, many of which we remember since childhood. A new study asks: How can a brand that uses this popular communication strategy avoid the negative impact of consumer ethnocentrism—the belief that buying foreign products is wrong—when entering foreign markets?
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The use of AI-based voice assistants is becoming ubiquitous, and this technology continues to develop at a rapid pace. Now, Explainable AI (XAI) can help customers understand things better and help mitigate certain kinds of errors. This research discovered that XAI can help consumers forgive minor social faux pas (violations of social norms) but not minor technical errors (failures of the algorithm interface). The series of studies also found that XAI helps consumers overcome their reluctance to use such AI-assisted technologies.
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On October 12, 2022, experts from Meta, the Brand Safety Institute and the ARF discussed brand risk for ads placed near unsuitable content on social media feed platforms. Meta researchers presented their data-driven measurement approach and their conclusions that there is minimal-to-no association for content adjacent to ads and that ad adjacency to risky content does not impact brand value.
The process for Certification of the Meta Project by the ARF was outlined. Additionally, the panel considered how consumers engage with ads on a feed platform differently than they engage with ads on more traditional platforms with different potential outcomes for ads adjacent to risky content.
Online reviews can have a substantial impact on the consumer decision-making process. That makes them crucial to firms and online marketplaces. Some sellers are sometimes tempted to manipulate ratings to give their products fake, positive reviews. As a result, it’s important for such marketplaces, like Amazon, to eliminate fake reviews. Some methods use metadata, review characteristics, text or images to remove such reviews. This may also flag legitimate ones, however. Researchers in this study found a method using the network structure of reviews to reveal fakes without wrongly targeting authentic ones.
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A single persuasive message by a social media influencer can positively drive consumer behaviors and attitudes, but what are the potential effects from multiple exposures over time? With an eye on consumer skepticism in today's dynamic media environments, this article explores both short-term and long-term effects in this area. Hint: Time heals.
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