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Table 1 Proposed issue partitions of users into minimal groups for mining spatial direction of political tension

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

Partition

Values

Users

Partition

Values

Users

Party

Republican

7895

Police

Pro-Police

1 811

Democrat

14481

Anti-Police

1 686

Candidate

Trump sup.

50 159

Military

Pro-Military

17 721

Biden sup.

10 229

Anti-Military

8 187

Ideology

Conservative

12 331

Patriotism

Patriot

27 907

Liberal

8 917

Anti-Imperialism

120

Left/Right

Right-wing

8 462

Local/Global

Local focus

5 532

Left-wing

3 423

Global focus

6 283

Black Lives Matter

Pro-BLM

13 350

Deepstate/rationalism

DeepState

486

Anti-BLM

12 017

Rationalist

111

Black/Blue

BlackLivesMatter

16 690

Entrepreneur

Entrepreneur

13 209

BlueLivesMatter

240

Anti-capitalist

1 287

Rural/Urban

Rural

2 174

Liberty/Justice

Justice

18 829

Urban

3 382

Freedom

13 041

Religion

Christian

22 735

Pronouns

Anti-Incl. Pronous

1 195

Atheist

1 081

Incl. Pronous.

66 218

Guns

Pro-Gun

605

International

International

5 957

Anti-Gun

496

Globalization

84

Communism

Anti-Communism

1 160

Individual/institutional

Institutional

976

Pro-communism

448

Individual

14 739

Liberal lifestyle

Pro-Liberal LifeStyle

9 659

Science

Science

14 795

Anti-liberal LifeStyle

9 921

AntiExperts

59

Libertarian/welfare

Libertarian

3 045

Masks (COVID)

Pro-Mask

4 247

Welfare

681

Anti-Mask

214

  1. For each issue we identify two disjoint groups based on Twitter profile text descriptions