
This dataset contains raw search result data used for the comparative study "Transformation of Information Bubbles: Comparative Analysis of Algorithmic and Generative Search (Case Studies of Google and Perplexity)". The study evaluates 9 specific search queries across two platforms: Google (traditional search engine) and Perplexity AI (generative AI search). The data includes full text outputs, source links, and AI-generated summaries to analyze the structural differences in information delivery.
filter bubble, digital ecosystem, large language models, media environment, algorithmic bias, generative search
filter bubble, digital ecosystem, large language models, media environment, algorithmic bias, generative search
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
