Investigating the Structural Evolution of Ad Design: Computational Analysis of Information Content and Interactivity in Ads

When watching ads from the 1980s versus ads from the 2010s, there is a glaring dichotomy. Whilst older ads tend to resemble a broadcast, directly communicating product features to the viewer, newer ads often have an air of informal-ness and casual energy. They incorporate humor, make internet refere...

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Bibliographic Details
Main Author: Wang, Nina
Other Authors: Hauser, John R.
Format: Thesis
Published: Massachusetts Institute of Technology 2024
Online Access:https://hdl.handle.net/1721.1/156952
http://orcid.org/0009-0006-2542-9219
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author Wang, Nina
author2 Hauser, John R.
author_facet Hauser, John R.
Wang, Nina
author_sort Wang, Nina
collection MIT
description When watching ads from the 1980s versus ads from the 2010s, there is a glaring dichotomy. Whilst older ads tend to resemble a broadcast, directly communicating product features to the viewer, newer ads often have an air of informal-ness and casual energy. They incorporate humor, make internet references, and, increasingly, have nothing to do with the thing they are supposed to advertise. In this research, I dissect this broader shift into changes in ad content and ad tone, specifically, changes in information content and interactivity levels. Using various methods, I collect data from Super Bowl advertisements from 1980-2023 and identify metrics that measure the information content and interactivity of the ads. I further introduce the information content-interactivity scale for ad classification, and show that ads have indeed become less informational and more interactive over time.
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spelling mit-1721.1/1569522024-09-25T03:52:37Z Investigating the Structural Evolution of Ad Design: Computational Analysis of Information Content and Interactivity in Ads Wang, Nina Hauser, John R. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science When watching ads from the 1980s versus ads from the 2010s, there is a glaring dichotomy. Whilst older ads tend to resemble a broadcast, directly communicating product features to the viewer, newer ads often have an air of informal-ness and casual energy. They incorporate humor, make internet references, and, increasingly, have nothing to do with the thing they are supposed to advertise. In this research, I dissect this broader shift into changes in ad content and ad tone, specifically, changes in information content and interactivity levels. Using various methods, I collect data from Super Bowl advertisements from 1980-2023 and identify metrics that measure the information content and interactivity of the ads. I further introduce the information content-interactivity scale for ad classification, and show that ads have indeed become less informational and more interactive over time. MNG 2024-09-24T18:22:37Z 2024-09-24T18:22:37Z 2024-05 2024-07-11T14:37:30.351Z Thesis https://hdl.handle.net/1721.1/156952 http://orcid.org/0009-0006-2542-9219 In Copyright - Educational Use Permitted Copyright retained by author(s) https://rightsstatements.org/page/InC-EDU/1.0/ application/pdf Massachusetts Institute of Technology
spellingShingle Wang, Nina
Investigating the Structural Evolution of Ad Design: Computational Analysis of Information Content and Interactivity in Ads
title Investigating the Structural Evolution of Ad Design: Computational Analysis of Information Content and Interactivity in Ads
title_full Investigating the Structural Evolution of Ad Design: Computational Analysis of Information Content and Interactivity in Ads
title_fullStr Investigating the Structural Evolution of Ad Design: Computational Analysis of Information Content and Interactivity in Ads
title_full_unstemmed Investigating the Structural Evolution of Ad Design: Computational Analysis of Information Content and Interactivity in Ads
title_short Investigating the Structural Evolution of Ad Design: Computational Analysis of Information Content and Interactivity in Ads
title_sort investigating the structural evolution of ad design computational analysis of information content and interactivity in ads
url https://hdl.handle.net/1721.1/156952
http://orcid.org/0009-0006-2542-9219
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