A structural framework for studying how ranking visibility influences user perception in Search Engine Result Pages (SERPs).
This project investigates how the visibility distribution of controversy-oriented or negatively associated search results affects perceived acceptability of entity-oriented SERPs. Unlike traditional Information Retrieval studies that primarily focus on relevance ranking, this framework examines SERPs as perception-forming structures.
The study introduces:
- A SERP Stimulus Tensor structure
- Semantic severity manipulation
- Positional visibility manipulation
- Deterministic experimental assignment
- Controlled SERP reordering methodology
- Interactive perception evaluation experiments
The repository includes:
- Research manuscript
- Experimental methodology
- Visualization dashboards
- Reproducible experiment generator
- Data analysis charts
- Supplementary materials
Interactive visualization dashboard:
The dashboard contains:
- Semantic severity curves
- Positional visibility curves
- Experimental charts
- Aggregated perception results
slanderpilot.html Stimulus Generator
serp-perception-research.pdf Experimental Paper
semantic.png Experiment Results
position.png Experiment Results
This work explores the hypothesis that:
Visibility hierarchy within search engine results contributes significantly to entity perception formation.
The study focuses on structural visibility effects rather than content removal or censorship questions.
This repository accompanies an upcoming arXiv submission.
As an independent researcher submitting to arXiv for the first time, endorsement is currently required for several relevant subject categories.
If you are eligible and willing to provide endorsement after reviewing the repository or manuscript, your assistance would be greatly appreciated.
Endorsement code:
Q7EWVP
Thank you for your time and consideration.