English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

How will generative AI pay for itself? Unless charging users for access,selling advertising is the only alternative. Especially in the multi-billiondollar web search market with ads as the main source of revenue, theintroduction of a subscription model seems unlikely. The recent disruption ofsearch by generative large language models could thus ultimately be accompaniedby generated ads. Our concern is that the commercialization of generative AI ingeneral and large language models in particular could lead to nativeadvertising in the form of quite subtle brand or product placements. In websearch, the evolution of search engine results pages (SERPs) from traditionallists of ``ten blue links'' (lists SERPs) to generated text with web pagereferences (text SERPs) may further blur the line between advertising-based andorganic search results, making it difficult for users to distinguish betweenthe two, depending on how advertising is integrated and disclosed. To raiseawareness of this potential development, we conduct a pilot study analyzing thecapabilities of current large language models to blend ads with organic searchresults. Although the models still struggle to subtly frame ads in an unrelatedcontext, their potential is evident when integrating ads into related topicswhich calls for further investigation.

Commercialized Generative AI: A Critical Study of the Feasibility and  Ethics of Generating Native Advertising Using Large Language Models in  Conversational Web Search