Understanding the Index
Our unique methodology combines data-driven insight with empirical analysis to shed light on who holds influence in the Swiss Parliament.
Swiss elected politicians have influence; From impacting legislation to steering public conversations, their actions and decisions impact many aspects of citizens’ lives in profound ways. As influence comes in different shapes and forms, bringing an objective approach to measuring it can be challenging.
Burson Influence Index uses a unique data-based methodology to measure who in Swiss Parliament wields the most influence, within and beyond parliamentary walls.
How we measure influence
We measure influence through two largely independent dimensions: parliamentary influence and public influence.
Parliamentary Influence Score
The ability to impact legislation, shape the political agenda, win votes, and gain positions of power.
Leadership
Positions of influence regarding group coordination and the parliamentary bureau.
Engagement
General activity and collaboration including networking roles outside plenary meetings.
Legislative Design
The ability to shape a specific piece of legislation, down to detailed levels.
Experience
Seniority in years served in parliament, including formal positions held in previous terms.
Public Influence Score
The ability to cultivate visibility with citizens, reach audiences online and in the media, and shape public conversations.
Social Media Traction
The reach, relevance, and resonance of the politician's activity on X (formerly Twitter).
News Media Visibility
The volume of mentions of the politician in mainstream media.
Public Awareness
The extent to which politicians are searched for on Google.
A statistical procedure called principal component analysis (PCA) is applied to combine these indicators into a single score for parliamentary influence and a single score for public influence.
Reducing complexity while retaining a maximum amount of information, PCA is widely used in the creation of indices and is considered to be an objective, data-driven approach to calculating influence scores.
The results of the PCA-based aggregation for the parliamentary influence scores have been independently validated by Burson policy experts, and both data-driven and domain knowledge-based approaches yielded nearly identical results.
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