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State Party Platform Project | Daniel Coffey, PhD. This blog is about my text analysis of state political party platforms (and other texts) and is a source for state party platform data for social scientists and academics. — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Politics →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
cypressandstar.net ↗	66 match 1 shared topics	Political Analysis Podcast \| Beneath the Cypress and Star	en	politics	robotsllmsaihumans	emailphone	none
leaningblue.com ↗	65 match 1 shared topics	LeaningBlue: In Pursuit of a Better Democracy - A blog about civics, statesmanship, and leadership; not partisan politics	en	politics WordPress	robotsllmsaihumans	emailphone	none
mcphearsonreport.com ↗	65 match 1 shared topics	McPhearson Report \| News and thoughts on war & peace, politics, human rights, race and other things.	en	politics WordPress	robotsllmsaihumans	emailphone	none
mclarenblog.com ↗	65 match 1 shared topics	McLarenblog • Evaluate products and politics for you.	en	politics WordPress	robotsllmsaihumans	emailphone	none
tragicfarce.com ↗	65 match 1 shared topics	Tragic Farce \| First and Second Thoughts About Culture and Politics	en	politics WordPress	robotsllmsaihumans	emailphone	none
alonadolinsky.com ↗	65 match 1 shared topics	Alona O. Dolinsky – Political Science PhD – Parties, Group Appeals, Representation, Candidate Selection, and Text-As-Data.	en	politics WordPress	robotsllmsaihumans	emailphone	none
brianwolfel.com ↗	65 match 1 shared topics	Brian Wolfel – Political Theorist and Scientist	en	politics WordPress	robotsllmsaihumans	emailphone	none
currenteventswithbrandon.com ↗	65 match 1 shared topics	Current Events With Brandon – Explanations and Analysis on Current Events in Social Issues.	en	politics WordPress	robotsllmsaihumans	emailphone	none
profoundlypolitical.com ↗	65 match 1 shared topics	profoundly political \| DotComIsMainStreet	en	politics Wix Wix Stores	robotsllmsaihumans	emailphone	none
adambrown.info ↗	65 match 1 shared topics	Adam Brown, BYU Political Science	en	politics	robotsllmsaihumans	emailphone	none
lucasjerusalimiec.ca ↗	65 match 1 shared topics	Lucas Jerusalimiec – PhD Candidate in Political Science	Canada en	politics WordPress	robotsllmsaihumans	emailphone	none
mdlegagendaforwomen.org ↗	65 match 1 shared topics	Maryland Legislative Agenda for Women \| A state-wide coalition of women's groups and individuals formed to provide a non-partisan, independent voice for Maryland women and families.	en	politics WordPress	robotsllmsaihumans	emailphone	none
minaai.org ↗	65 match 1 shared topics	Project MINA – Political Intelligence Platform	en	politics	robotsllmsaihumans	emailphone	none
currentcritic.com ↗	65 match 1 shared topics	Current Critic - Critical Analysis for a Complex World	en	politics	robotsllmsaihumans	emailphone	none
123robocalls.com ↗	65 match 1 shared topics	RoboCent \| Leading Texting Platform for Political Campaigns	en	politics	robotsllmsaihumans	email phone	none
1centcalls.com ↗	65 match 1 shared topics	RoboCent \| Leading Texting Platform for Political Campaigns	en	politics	robotsllmsaihumans	email phone	none
learnthefuture.com ↗	65 match 1 shared topics	Your daily resources about future, predictions and politics - www.learnthefuture.com	en	politics	robotsllmsaihumans	emailphone	none
naimtahirbaig.com ↗	65 match 1 shared topics	Dr. Naim Tahir Baig - Geopolitical Analysis & Strategic Insights	en	politics	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.