Documentation

Tool 01 Campaign Performance Dynamics

The Campaign Performance Dynamics module provides direct empirical observability into volunteer mobilization, multi-year longitudinal trajectories, and Year-over-Year (YoY) velocity without subjective scoring indices, arbitrary weights, or automated advice notes:

Tool Workflow & Features

Target Campaign Code: Enter the official identifier for the campaign edition to evaluate (e.g. wlmbd24 for Wiki Loves Monuments 2024 Bangladesh, or wlede23 for Wiki Loves Earth Germany).
Baseline Reference Edition: Select Previous Year Baseline to measure trajectory shifts against the prior year (e.g. 2023 vs 2024), or specify a custom reference edition.
Regional Peer Calibration: The tool automatically identifies the country's regional cluster (e.g. South Asia, Northern & Western Europe, ESEAP). Regional peer medians are computed across active campaigns in the cluster.
Empirical Indicators & Velocity: Six observational cards displaying live totals alongside Year-over-Year velocity badges with exact net shifts (+/-) and percentage change.
Interactive Visualizers: Multi-Year Longitudinal Trajectory (uploaders, submissions, quality honors), Retention & Newcomer Waterfall, and Regional Peer Benchmark comparisons.
Report Export: Export unweighted, observational records in Wikitext, Markdown, or CSV formats for community reports and affiliate grant documentation.

Year-over-Year Progression

Rather than grading affiliates with subjective scores, the platform tracks observable changes between consecutive campaign editions:

\[ \text{Year-over-Year Net Shift} = \text{Target Edition Count} - \text{Baseline Edition Count} \]

\[ \text{Year-over-Year Change (\%)} = \frac{\text{Target Edition Count} - \text{Baseline Edition Count}}{\text{Baseline Edition Count}} \times 100\% \]

Regional Benchmark & Zero-Synthetic Invariant

Regional peer medians provide context across up to 5 active national campaigns within the same geographic cluster, including the target country when held:

\[ \text{Regional Comparison Shift} = \text{Target Value} - \text{Regional Median (Top 5 Active Campaigns)} \]

Zero-Synthetic Invariant & Unheld Campaign Policy: The engine evaluates 100% empirical Wikimedia Commons data without synthetic imputation or mock fallbacks. Unheld editions (e.g. wlmbd21, wlmfr23) are explicitly flagged as unheld and excluded from peer benchmarks rather than being assigned artificial zeros or regional averages.

Tool 02 Retention Analytics

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The Retention Analytics interface evaluates participant continuity between successive campaign editions, multi-country comparative trajectories, and cross-event contributor retention:

Campaign Scope: Select one or more configured Wiki Loves campaigns (Monuments wlm, Earth wle, Folklore wlf, Africa wla, Bangla wlb). Query codes follow the format [event][country][year] (e.g. wlmbd24, wlede22).
Geographic & Temporal Parameters: Select a country, regional cluster, or all supported nations, and define the year span. Quick presets allow 1-click loading for standard national cohorts.
Analytical Visualizations:
- Comparative Time Series (Line): Pure SVG multi-country longitudinal retention lines with exact data tooltips.
- Cohort Data Table (Table): Sortable breakdown of baseline cohort, target cohort, mutual participants, and retention rate with CSV and Wikitext export.
- Choropleth Map: Geographic projection of country-level participant retention across international campaigns.
- Heatmap Matrices: Color-coded matrices displaying cross-edition retention transitions.

Contributor Retention Rate

Retention measures what fraction of contributors from a baseline edition returned to participate in a subsequent target edition:

\[ \text{Retention Rate} = \frac{\text{Returning Contributors from Baseline}}{\text{Total Contributors in Baseline Edition}} \times 100\% \]

Directional Asymmetry: Retention from edition A to edition B differs from B to A because baseline cohort sizes change across years.

Data Extraction Pipeline & Unheld Editions

Data is extracted in real time directly from Wikimedia Commons using Toolforge database replicas and the Commons Action API with automatic pagination.

Missing Data Integrity: Incomplete or unheld campaign categories are identified and excluded from cohort evaluations to prevent artificial zeros.

Tool 03 Participant Influx

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The Influx Analytics module assesses continuous community renewal, newcomer acquisition yield, and long-term contributor mobilization:

Series Selection: Choose a specific campaign type (or All Campaigns for national ecosystem view), target country, and consecutive year span (e.g. 2022–2026).
Generated Campaign Sequence: Chronological campaign sequence automatically assembled to evaluate longitudinal inflow and veteran return.
Trend Visualizations & Outputs:
- Summary KPI Cards: Cumulative Contributor Pool, Peak Influx Year, Peak Edition, and Contributor Longevity.
- Dual-Axis Dynamics: Stacked bar chart showing first-time newcomers alongside returning participants, with the cumulative pool curve on the secondary axis.
- Cohort Lifecycle Profiles: 1-Time Entrants (one-off contributors), Repeaters (2–3 editions), and Core Veterans (4+ editions).
- Detailed Data Table: YoY net growth, newcomer share, direct retention, and CSV/Wikitext export.

Year-over-Year Newcomers & Retention

Contributors in each edition are partitioned into first-time newcomers and returning veterans:

\[ \text{Newcomer Share} = \frac{\text{First-Time Contributors}}{\text{Total Active Contributors in Edition}} \times 100\% \]

\[ \text{Direct Retention Rate} = \frac{\text{Returning Contributors from Prior Edition}}{\text{Total Contributors in Prior Edition}} \times 100\% \]

All-Campaigns Ecosystem De-duplication

When analyzing all campaigns together (via all[country][year]), participants across active contests in that country are de-duplicated into a single annual cohort:

\[ \text{Annual Active Community} = \text{Count of Unique Individuals Active Across Any Contest in that Year} \]

Cumulative Contributor Pool

The cumulative community pool measures the total number of distinct individuals who have contributed at least one photograph across the entire series to date:

\[ \text{Cumulative Contributor Pool} = \text{Total Unique Photographers Mobilized Across All Editions to Date} \]

Tool 04 Contributor Mobility

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The Contributor Mobility module analyzes inter-competition participant fluidity, cross-campaign retention, and community overlap across active photography contests within the same national or regional ecosystem:

Country & Year Selection: Select a target nation and campaign year. The tool identifies all active competitions configured for that country (e.g. WLM, WLE, WLF, WLA, WLB) respecting regional scopes.
Cross-Campaign Matrix: A multi-contest matrix displaying the percentage of contributors from each source campaign who transitioned into participating in a target campaign.
Community Similarity (Jaccard Index): Calculates bidirectional community cohesion, measuring the shared contributor core relative to the joint participant pool.
Deduplicated Ecosystem Pool: Measures the true net distinct volunteer photographers mobilized across all campaigns in that country during the year.

Cross-Campaign Conversion Rate

Measures the proportion of contributors from a source contest who also participated in a target contest in the same country:

\[ \text{Conversion Rate} = \frac{\text{Contributors Participating in Both Contests}}{\text{Total Contributors in Source Contest}} \times 100\% \]

Conversion is directional: the percentage of Earth contributors who entered Monuments is usually different from the percentage of Monuments contributors who entered Earth.

Shared Community Overlap (Jaccard Index)

Quantifies how closely aligned two contributor communities are by comparing shared participants to the total combined group:

\[ \text{Community Overlap (\%)} = \frac{\text{Shared Contributors Active in Both Contests}}{\text{Total Unique Contributors Across Either Contest}} \times 100\% \]

National Ecosystem Reach

The total net number of unique photographers mobilized across all active photography contests within the country during that year:

\[ \text{Total National Ecosystem Reach} = \text{Unique Individuals Participating in At Least One National Contest} \]

Tool 05 Contributor Diversity

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The Contributor Diversity module evaluates upload volume distribution, contribution inequality, and power-law concentration across contest participants without arbitrary normative baselines:

Campaign & Year Range: Select campaign type (or All Campaigns), target country, and chronological year range.
Normalized Tier Segmentation: Groups participants into four empirical volume tiers: Casual (1 upload), Regular (2–5 uploads), Active (6–20 uploads), and Power (21+ uploads).
Interactive Concentration Trajectory: An interactive line chart plotting the multi-year upload share for any selected top contributor percentile (1%–100%) with automated playback.
Empirical Equality Metrics: Computes the Gini inequality coefficient (0.0 to 1.0) and top-decile shares (top 10% and top 20%).

Contribution Equality (Gini Scale)

The Gini coefficient measures how evenly photo submissions are distributed across all participating uploaders, mapped on a scale from 0.0 to 1.0:

\[ \text{Gini Index} = \text{Distribution inequality of submissions on a scale from 0.0 (equal) to 1.0 (concentrated)} \]

0.0 (Perfect Equality): Every participant submitted exactly the same number of photos.
Close to 1.0 (High Concentration): A small group of prolific power uploaders submitted the vast majority of files.

Top 10% Contributor Share

Quantifies what percentage of all contest submissions were uploaded by the top 10% most prolific participants:

\[ \text{Top 10\% Share} = \frac{\text{Photos Uploaded by Top 10\% Most Prolific Contributors}}{\text{Total Contest Submissions}} \times 100\% \]

Percentile Concentration

For any selected tier (such as the top 1%, 5%, or 20%), the platform calculates the exact proportion of submissions generated by that cohort:

\[ \text{Percentile Share} = \frac{\text{Photos Uploaded by Top Selected Group}}{\text{Total Contest Submissions}} \times 100\% \]

Tool 06 Content Utility

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The Content Utility module evaluates the direct encyclopedic deployment of campaign media across all Wikimedia projects via live prop=globalusage API queries:

Target Campaign Selection: Choose a campaign, country, and edition year (e.g. wlmde24 or wlmbd23).
Usage Harvesting & Namespace Filtering: Analyzes uploaded files to identify whether they are embedded in encyclopedic articles (Mainspace 0) or user/discussion pages.
Analytics & Output Breakdown:
- Overall Utility Rate (%): Percentage of uploaded files actively utilized in at least one Wikimedia project.
- Article Inclusions: Cumulative count of live article instances illustrating encyclopedic knowledge.
- Cross-Wiki Distribution: Distribution across Wikipedia language editions (e.g. English, German, French, Bengali), Wikidata, Wikivoyage, and Commons galleries.
- Contributor Impact Leaderboard: Top photographers ranked by total downstream article usage.

Content Utility Rate

Proportion of submitted photographs embedded across active Wikipedia articles, Wikidata, and sister projects:

\[ \text{Content Utility Rate} = \frac{\text{Uploaded Photos in Active Use}}{\text{Total Contest Submissions}} \times 100\% \]

Cumulative Article Inclusions

Total live instances of campaign files embedded across encyclopedic pages across all Wikimedia language editions:

\[ \text{Total Article Inclusions} = \text{Cumulative Count of Live Embeddings Across Wikimedia Namespaces} \]

Tool 07 Quality Recognition

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The Quality Recognition module audits formal community quality designations awarded to campaign submissions through Wikimedia Commons community review processes:

Campaign Query: Select target event, country, and year (e.g. wlmde24, wleua21).
Commons Category Tree Harvesting: Traverses structured subcategories including Quality images from [Campaign] and Featured pictures from [Campaign]. (Category Mapping Limitation): Valued Images (VI) are excluded from automated campaign harvesting because Wikimedia Commons does not maintain standardized campaign-level subcategory trees for VI, resulting in non-uniform categorization across contests.
Quality Recognition Outputs:
- Overall Quality Rate (%): Percentage of submissions achieving formal quality recognition.
- Awards Breakdown: Itemized counts of Quality Images (QI) and Featured Pictures (FP).
- Recognized Media Files: Interactive media gallery with lazy-loaded thumbnails, file titles, badge tags, and direct Commons links.
- Top Contributing Photographers: Distinct accredited photographers whose works received quality designations.

Quality Recognition Rate

Measures the proportion of submitted photographs that earned formal community quality designations:

\[ \text{Quality Recognition Rate} = \frac{\text{Awarded Photos (Quality Images or Featured Pictures)}}{\text{Total Contest Submissions}} \times 100\% \]

Recognized Photographers

Net count of distinct contributors who produced one or more certified quality works in the campaign:

\[ \text{Recognized Photographers} = \text{Unique Count of Photographers with At Least One Certified Photo} \]

Section 08 Metric Glossary & Data Dictionary

Metric Name	Simple Definition / Ratio	Operational Description & Scope
YoY Shift & Progression	\(\text{Target Count} - \text{Baseline Count}\) \(\frac{\text{Target} - \text{Baseline}}{\text{Baseline}} \times 100\%\)	Unweighted observational trajectory measuring annual momentum, growth increments, or community contraction without subjective composite scoring.
Contributor Retention	\(\frac{\text{Returning Contributors}}{\text{Baseline Contributors}} \times 100\%\)	Percentage of distinct uploaders from a baseline edition who returned to submit at least one file in a subsequent edition.
Cross-Campaign Mobility	\(\frac{\text{Contributors in Both}}{\text{Source Contest Contributors}} \times 100\%\)	Percentage of contributors from a source contest who also participated in a target contest in the same country.
Community Overlap (Jaccard)	\(\frac{\text{Shared Contributors}}{\text{Total Unique Contributors Across Both}} \times 100\%\)	Bidirectional community overlap measuring shared participants relative to the joint participant pool.
Equality Index (Gini)	Scale from 0.0 (equal) to 1.0 (concentrated)	Distribution inequality of media contributions across active photographers on an empirical 0 to 1 scale.
Top 10% Contributor Share	\(\frac{\text{Uploads by Top 10\% Photographers}}{\text{Total Submissions}} \times 100\%\)	Share of total submissions uploaded by the most prolific decile of participants (Pareto concentration).
Newcomer Intake Share	\(\frac{\text{First-Time Contributors}}{\text{Total Active Contributors}} \times 100\%\)	Proportion of target edition uploaders who are first-time entrants relative to earlier recorded editions.
Content Utility Rate	\(\frac{\text{Uploaded Photos in Active Use}}{\text{Total Submissions}} \times 100\%\)	Proportion of campaign uploads embedded across Wikipedia articles, Wikidata, Wikivoyage, or sister projects.
Quality Recognition Rate	\(\frac{\text{Awarded Photos (QI or FP)}}{\text{Total Submissions}} \times 100\%\)	Proportion of submissions receiving formal Commons designations (Quality Images, Featured Pictures).
Newcomer Influx	First-time participants with no prior upload history	First-time participants in an edition with no prior upload history in any previous edition of the evaluated contest series.
Cumulative Contributor Pool	Total unique photographers across all editions	Total distinct individuals ever mobilized by the campaign series through the evaluated edition year.