Methodology

2.1.1 Collection

A script leveraging OpenAI's web search systematically scans Swiss news outlets, government websites, and official sources for cryptocurrency-related statements by politicians. Each statement undergoes AI-based validation for coherence, relevance, and attribution, ensuring inclusion of only verifiable public content. Sources linked to data quality issues are excluded. Supplementary statements, particularly from the Crypto Valley Journal, and final adjustments to the statements table were done manually.

2.1.2 Stance Classification

Each collected statement undergoes systematic classification to determine the politician's stance on cryptocurrency and blockchain technology. Our analysis framework categorizes positions into three primary classifications based on the content and tone of their public statements.

Our OpenAI-based stance classification algorithm categorizes positions into three groups—supportive, neutral, and hostile—based on the semantic content and rhetorical tone of public statements.

2.2.1 Collection

We utilized the official API of the Swiss Parliament (ws.parlament.ch) to systematically extract all recorded political activities, referred to as businesses in the database schema. For each business entry, associated metadata on the involved political actors—including primary authors and co-signers (i.e., businessAuthor entities)—was retrieved. To identify crypto-relevant activities, we conducted a targeted keyword-based search, leveraging a curated vocabulary of terms related to cryptocurrencies and blockchain technologies. The resulting subset was filtered for further analysis.

2.2.2 Stance Classification

Each crypto-relevant political activity was subjected to semantic classification using the OpenAI language model API. The model evaluated the content and inferred the stance of the activity toward cryptocurrencies. Based on linguistic tone and contextual cues, activities were classified into three categories: supportive, neutral, or hostile with respect to crypto assets and related technologies.

2.2.3 Scoring System

To quantify individual political actors' positions, a scoring heuristic was applied as follows:

This scoring schema serves as a first-order approximation for evaluating the aggregate crypto-positivity or -hostility of individual politicians based on their documented parliamentary behavior.