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Table 3 Most extreme terms by dimension

From: American politics in 3D: measuring multidimensional issue alignment in social media using social graphs and text data

1st dimension δ1

Negative δ1

Positive δ1

bidenharris(+), bidenharris2020(+), bidenharris(−), voteblue(+), voteblue(−), resister(+), fbr(+), theresistance(+), fbr(−), bluewave(−), bluewave(+), biden harris(+), proud democrat(+), she/her(−), blacklivesmatter(−), theresistance(−), wearamask(−), resister(−), vote blue(−), black lives matter(+)

maga kag(+), maga patriot(+), kag(+), president trump(+), trump2020(+), trump 2020(+), maga kag(−), kag(−), trump maga(+), parler(+), trump supporter(+), conservative patriot (+), trump2020(−), maga(+), parler(−), americafirst(+), god family country(+), proud conservative(+), conservative christian(+)

2nd dimension δ2

Negative δ2

Positive δ2

trump 2020(+), canadian(+), maga patriot(+), trump supporter(+), trump2020(+), patriot(+), resister(+), trump supporter(−), patriot american(+), resister(−), maga kag(+), trump2020(−), trump president(+), trump(+), love country(+), kag(+), god fearing(+), biden harris(+)

association(+), coalition(+), representing(+), organization(+), provides(+), advocacy(+), legislative(+), twitter official account(+), congressional(+), communities(+), senator(+), public affairs(+), official twitter(+), providing(+), account for(+), grassroots(+), families(+), promoting(+), programs(+), provide(+)

3rd dimension δ3

Negative δ3

Positive δ3

que(+), miami(+), kentucky(+), bitcoin(+), gamer(+), republicans(+), los(+), florida(+), canadian(+), libertarian(−), software engineer(+), libertarian(+), actor(+), alabama(+), resister(−), colorado(+), games(+), dreamer(+), obsessed(+), software(+)

trump 2020(+), patriot maga(+), maga kag(+), president trump(+), kag(+), trump supporter(+), trump2020(+), kag(−), maga kag(−), maga(+), trump2020(−), trump maga(+), parler(+), president trump(−), maga(n), trump supporter(−), patriot(+)

  1. We distinguish terms uttered in profiles with compute positive (+), negative (−), and neutral (n) sentiment. We report the 20 terms with most extreme positive and negative positions