Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/2702123.2702360acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
note

Effects of Ad Quality & Content-Relevance on Perceived Content Quality

Published: 18 April 2015 Publication History

Abstract

Native advertising, ads that are highly cohesive with actual content in format and style, is a pervasive online trend. We report on a two-stage Mechanical Turk experiment exploring the effects of perceived quality of native ads on perceptions of site quality. First, a set of native ads was rated (N=98) for perceived annoyance and trust. Second, we compare four conditions of an aggregation of news headlines (N=237): 'no ads', 'low quality ads', 'high quality ads + content-relevant', 'high-quality ads + not content-relevant'. Our results indicate that native ads, which in isolation have been rated as high quality, could still have a negative effect on perceived site credibility and perceived site quality if they are too content-relevant. In addition to the effect of ad quality alone (e.g. non-annoying, trustworthy ads), there is an additional impact for ads that are too similar to content; avoiding confusion is important for quality perceptions.

References

[1]
Agarwal, L., Shrivastava, N., Jaiswal, S., Panjwani, S. Do Not Embarrass: Re-Examining User Concerns for Online Tracking and Advertising, Proc. SOUPS'13.
[2]
Buscher, G., Dumais, S., Cutrell, E. 2010. The good, the bad, and the random: an eye-tracking study of ad quality in web search. Proc. SIGIR'10.
[3]
Cho, C-H. Cheon, H. Why do people avoid advertising on the Internet? Journal of Advertising 33, 4 (2004).
[4]
De Sa, M., Navalpakkam, V., Churchill, E. (2013). Mobile advertising: evaluating the effects of animation, user and content relevance. Proc. CHI'13, 2487--2496.
[5]
Gladney, G., Shapiro, I., Castaldo, J. Online editors rate web news. Newspaper Research Journal 28, 1, 2007
[6]
Goldfarb, A, Tucker, C. Online Display Advertising: Targeting and Obtrusiveness, Marketing Science 30, (3), 389--404 (2011).
[7]
Goldsmith, R., Lafferty, B. Newell, S. The Impact of Corporate Credibility and Celebrity Credibility on Consumer Reaction to Advertisements and Brands, Journal of Advertising 29, 3 (2000), 43--54
[8]
Goldstein, P., McAfee, S. (2013) The Cost of Annoying Ads, Proc. WWW'13, 459--470.
[9]
IAB, The Native Advertising Playbook, http://bit.ly/1gzLtDh, accessed Sept 10, 2014.
[10]
IPG Media Lab, Native Ad Research from IPG & Sharethrough Reveals that In-Feed Beats Banners, http://bit.ly/1qmrhMs, accessed Aug 28, 2014.
[11]
1Lacy, S. Fico, F. The link between newspaper content quality and circulation. Newspaper Research Journal, 12,2 (1991) 46--57.
[12]
Yan, J., Liu,N., Wang,G., Zhang, W. Jiang,Y. and Chen, Z. How much can behavioral targeting help online advertising?, Proc. WWW'09, 261--270.

Cited By

View all
  • (2024)To Be or Not To Be (an Ad): Advertising Students’ Understanding of Instagram In-Feed Native AdvertisingJournal of Advertising Education10.1177/1098048224126566028:2(137-158)Online publication date: 20-Jul-2024
  • (2024)Social Commerce Adoption Model Based on Usability, Perceived Risks, and Institutional TrustIEEE Transactions on Engineering Management10.1109/TEM.2023.334190071(3599-3612)Online publication date: 2024
  • (2023)What Holds Attention? Linguistic Drivers of EngagementJournal of Marketing10.1177/00222429231152880(002224292311528)Online publication date: 7-May-2023
  • Show More Cited By

Index Terms

  1. Effects of Ad Quality & Content-Relevance on Perceived Content Quality

    Recommendations

    Comments

    Please enable JavaScript to view thecomments powered by Disqus.

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
    April 2015
    4290 pages
    ISBN:9781450331456
    DOI:10.1145/2702123
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 18 April 2015

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. ads
    2. advertising
    3. content relevance
    4. quality

    Qualifiers

    • Note

    Conference

    CHI '15
    Sponsor:
    CHI '15: CHI Conference on Human Factors in Computing Systems
    April 18 - 23, 2015
    Seoul, Republic of Korea

    Acceptance Rates

    CHI '15 Paper Acceptance Rate 486 of 2,120 submissions, 23%;
    Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

    Upcoming Conference

    CHI '25
    CHI Conference on Human Factors in Computing Systems
    April 26 - May 1, 2025
    Yokohama , Japan

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)91
    • Downloads (Last 6 weeks)18
    Reflects downloads up to 19 Nov 2024

    Other Metrics

    Citations

    Cited By

    View all
    • (2024)To Be or Not To Be (an Ad): Advertising Students’ Understanding of Instagram In-Feed Native AdvertisingJournal of Advertising Education10.1177/1098048224126566028:2(137-158)Online publication date: 20-Jul-2024
    • (2024)Social Commerce Adoption Model Based on Usability, Perceived Risks, and Institutional TrustIEEE Transactions on Engineering Management10.1109/TEM.2023.334190071(3599-3612)Online publication date: 2024
    • (2023)What Holds Attention? Linguistic Drivers of EngagementJournal of Marketing10.1177/00222429231152880(002224292311528)Online publication date: 7-May-2023
    • (2023)Driven to Distraction: Examining the Influence of Distractors on Search Behaviours, Performance and ExperienceProceedings of the 2023 Conference on Human Information Interaction and Retrieval10.1145/3576840.3578298(83-94)Online publication date: 19-Mar-2023
    • (2022)Is Repetition Really the Key to Success? The Impact of Ad Repetition and the Power of “Likes” on FacebookJournal of Interactive Advertising10.1080/15252019.2022.210632722:3(238-248)Online publication date: 11-Aug-2022
    • (2021)The Effect of News Article Quality on Ad ConsumptionProceedings of the 30th ACM International Conference on Information & Knowledge Management10.1145/3459637.3482201(3107-3111)Online publication date: 26-Oct-2021
    • (2021)What Makes a “Bad” Ad? User Perceptions of Problematic Online AdvertisingProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445459(1-24)Online publication date: 6-May-2021
    • (2021)AdverTiming Matters: Examining User Ad Consumption for Effective Ad Allocations on Social MediaProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445394(1-18)Online publication date: 6-May-2021
    • (2021)Taking Back Control of Social Media Feeds with Take Back Control2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA)10.1109/INISTA52262.2021.9548614(1-7)Online publication date: 25-Aug-2021
    • (2020)Sponsored content and user engagement dynamics on InstagramProceedings of the 35th Annual ACM Symposium on Applied Computing10.1145/3341105.3373956(1835-1842)Online publication date: 30-Mar-2020
    • Show More Cited By

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media