Impact of death-related media information on the effectiveness of in-feed advertising: A compensatory consumption perspective
Rong Cao,
Mingyue Yue,
Jianuo Yu,
Feng Wang and
Ping Li
Journal of Retailing and Consumer Services, 2025, vol. 82, issue C
Abstract:
With the increasing availability of news related to unexpected and catastrophic events, such as public health issues, natural disasters, murder cases, and terrorist attacks, the coexistence of death-related media information and commercial advertising has become prevalent in media platforms. This study is to clarify whether, when, and why death-related media information impacts the effectiveness of in-feed advertising. We conducted a field study along with three laboratory experiments. Results indicated that users are more likely to click in-feed advertising when it was exposed to death-related information compared to information unrelated to death. Moreover, this positive effect would be amplified when the ads framing is loss (vs. gain) or the ads image brightness is high (vs. low). The findings not only enrich literature on death-related information but also contributes to practice regarding how to improve the effectiveness of in-feed advertising.
Keywords: Death-related information; In-feed advertising; Identity threat; Ads framing; Image brightness (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0969698924003941
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:joreco:v:82:y:2025:i:c:s0969698924003941
DOI: 10.1016/j.jretconser.2024.104098
Access Statistics for this article
Journal of Retailing and Consumer Services is currently edited by Harry Timmermans
More articles in Journal of Retailing and Consumer Services from Elsevier
Bibliographic data for series maintained by Catherine Liu ().