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헤드라인충청 · ranked by category · tech stack · backlink co-citation
48match
jejutwn.com
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1 co-citations5 shared tech0 shared categorycivic-affairs
45match
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0 co-citations5 shared tech1 shared categorypolitics
45match
boeunpeople.com
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41match
ggilbo.com
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0 co-citations5 shared tech1 shared categorypolitics
40match
jemin.com
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0 co-citations4 shared tech1 shared categorypolitics
40match
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0 co-citations4 shared tech1 shared categorypolitics
40match
1waynews.com
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0 co-citations4 shared tech1 shared categorypolitics
40match
dgenews.com
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0 co-citations4 shared tech1 shared categorypolitical-issues-and-policy
38match
ahailbo.com
아하일보
0 co-citations3 shared tech1 shared categorypolitics
37match
guavanews.com
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37match
firenzedt.com
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0 co-citations4 shared tech1 shared categorypolitics
37match
1boonnews.com
1분뉴스 : 매일 꾸준한 양질의 정보
0 co-citations5 shared tech1 shared categorypolitics
35match
iworldtoday.com
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35match
jgtimes.com
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35match
hjfocus.com
홍주포커스
0 co-citations3 shared tech1 shared categorypolitics
35match
dhtoday.com
대한투데이
0 co-citations3 shared tech1 shared categorypolitics
34match
grclee.com
솜사탕NEWS
0 co-citations5 shared tech1 shared categorypolitics
34match
1minsight.com
1Minsight – 1분 만에 읽는 정책
0 co-citations5 shared tech1 shared categorypolitics

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:

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.