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Megan Cox | Professor of Strategic and Digital Communication — 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 College Education →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
kathrynmontalbano.com ↗	69 match 2 shared topics	Kathryn Montalbano – University of Kentucky \|\| College of Communication and Information \|\| School of Journalism and Media	en	college-education WordPress	robotsllmsaihumans	emailphone	none
karen-strassler.com ↗	68 match 2 shared topics	Karen Strassler Assistant Professor of Anthropology \| karen-strassler	en	education	robotsllmsaihumans	emailphone	none
karensichler.org ↗	67 match 2 shared topics	Professor Karen Sichler	en	college-education WordPress	robotsllmsaihumans	emailphone	none
truthuni.com ↗	67 match 2 shared topics	TruthUni - University Reviews, Professor Reviews & Student Community	en	education	robotsllmsaihumans	emailphone	none
crystalfodrey.com ↗	67 match 2 shared topics	Dr. Crystal N. Fodrey – Associate Professor & Director of the Writing Program \| Haverford College	en	education WordPress	robotsllmsaihumans	emailphone	none
sidurihaslerig.com ↗	67 match 2 shared topics	Siduri Haslerig – Professor & Associate Dean, Boise State University	en	college-education WordPress	robotsllmsaihumans	emailphone	none
mcdowelltech.edu ↗	66 match 2 shared topics	McDowell Technical Community College	en	college-education	robots llmsaihumans	emailphone	none
aaup-fm.org ↗	66 match 2 shared topics	- American Association of University Professors at Francis Marion University	United States~ en	college-education WordPress	robotsllmsaihumans	emailphone	none
csunalpfa.org ↗	66 match 2 shared topics	ALPFA CSUN — Association of Latino Professionals For America	en	education	robotsllmsaihumans	emailphone	none
aaup-rice.org ↗	66 match 2 shared topics	AAUP-RICE – Rice University's Chapter of the American Association of University Professors	en	education WordPress	robotsllmsaihumans	emailphone	none
bristolcc.edu ↗	66 match 2 shared topics	Bristol Community College	en	education	robotsllmsaihumans	emailphone	none
aahcollective.org ↗	66 match 2 shared topics	African American Honors Collective \| cross-institutional community	en	education Wix	robots llmsaihumans	emailphone	none
aaupuc.org ↗	66 match 2 shared topics	aaup:uc - American Association of University Professors University of Cincinnati	en	education WordPress	robotsllmsaihumans	emailphone	none
cccolegas.org ↗	66 match 2 shared topics	CCCOLEGAS - Latina/o/x Organization for California Community College Professionals	en	college-education Weebly WooCommerce	robotsllmsaihumans	emailphone	none
cccoer.org ↗	66 match 2 shared topics	CCCOER – Community College Consortium for Open Educational Resources	en	college-education WordPress	robotsllmsaihumans	emailphone	partial · 1
mcca.org ↗	65 match 2 shared topics	Michigan Community College Association	en	education	robotsllmsaihumans	emailphone	none
mcgarrsymposium.com ↗	65 match 2 shared topics	The McGarr Symposium on Sports and Society \| Moody College of Communication	en	education Drupal	robotsllmsaihumans	email phone	none
mccatoday.org ↗	65 match 2 shared topics	Home - Missouri Community College Association	en	college-education WordPress WooCommerce	robotsllmsaihumans	email phone	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.