Democracy indices (V-Dem)
The Democracy Indices by V-Dem are a dataset that describe qualities of different governments published by V-Dem Institute. This dataset is published on an annual basis and is publicly available and free.[1] In particular, the V-Dem dataset is popular among political scientists and describes the characteristics of political regimes worldwide. In total, datasets released by the V-Dem Institute include information on hundreds of indicator variables describing all aspects of government, especially on the quality of democracy, inclusivity, and other economic indicators. An R package automatically bundles new data.[2]
The V-Dem Institute's measures of democracy are the most elaborate and granular among several democracy indexes (such as the Polity data series and Freedom House's Freedom in the World).[3] By 2020, the V-Dem index had "more than 470 indicators, 82 mid-level indices, and 5 high-level indices covering 202 polities from the period of 1789–2019".[3] Each indicator is coded independently by at least five country experts.[3] V-Dem uses methodological tools to deal with rating reliability and confidence intervals in the expert ratings.[3] Political scientist Daniel Hegedus describes V-Dem as "the most important provider of quantitative democracy data for scholarly research".[3]
Democracy indices
Regimes of the World
The Regimes of the World (RoW)[4][5] distinguishes four types of political systems: closed autocracies, electoral autocracies, electoral democracies, and liberal democracies, this classification is built on V-Dem Democracy Core indices.[6]
V-Dem Core
The V-Dem institute publishes, as of 2022, 483 indicators unique to V-Dem institute and republishes 59 other indicators.[7][8] V-Dem publishes five core indices with several other supplementary indices. The core indices are the electoral democracy index, the liberal democracy index, the participatory democracy index, the Deliberative Democracy Index and the egalitarian democracy index.[9]
Map of V-Dem's 2023 Index of Liberal Democracy[10]
Red indicates more authoritarian, green indicates more democratic.
- The Electoral Democracy Index
- This index measures the principle of electoral or representative democracy, including whether elections were free and fair, as well as the prevalence of a free and independent media. This index is part of all the other indices as a central component of democracy.[11]
- Liberal Democracy Index
- This index incorporates measures of rule of law, checks and balances, and civil liberties along with the concepts measured in the electoral democracy index.[11]
- Participatory Democracy Index
- This index measures the degree to which citizens participate in their own government through local democratic institutions, civil society organizations, direct democracy, and the concepts measured in the electoral democracy index.[11]
- Deliberative Democracy Index
- This index measures the degree to which decisions are made in the best interest of the people as opposed to due to coercion or narrow interest groups, in addition to the basic electoral democracy index.[11]
- Egalitarian Democracy Index
- This index measures the level of equal access to resources, power, and freedoms across various groups within a society, in addition to the level of electoral democracy.[11]
Other Indices
The V-Dem institute publishes several other indices which are created, in part, with the assistance of other V-Dem indices.
Rankings
The table below shows how countries score on the 5 high-level V-Dem Democracy indices in 2023.[10][12]
Country | Electoral Democracy | Liberal Democracy | Participatory Democracy | Deliberative Democracy | Egalitarian Democracy |
---|---|---|---|---|---|
Denmark | 0.916 | 0.889 | 0.702 | 0.877 | 0.878 |
Norway | 0.899 | 0.857 | 0.645 | 0.872 | 0.86 |
Sweden | 0.899 | 0.87 | 0.643 | 0.806 | 0.816 |
Switzerland | 0.898 | 0.851 | 0.801 | 0.863 | 0.834 |
Estonia | 0.893 | 0.847 | 0.619 | 0.754 | 0.798 |
Ireland | 0.889 | 0.824 | 0.634 | 0.808 | 0.792 |
New Zealand | 0.889 | 0.834 | 0.67 | 0.779 | 0.786 |
Belgium | 0.887 | 0.825 | 0.633 | 0.812 | 0.823 |
Luxembourg | 0.881 | 0.797 | 0.584 | 0.839 | 0.822 |
France | 0.874 | 0.803 | 0.602 | 0.806 | 0.753 |
Spain | 0.873 | 0.791 | 0.618 | 0.765 | 0.724 |
Costa Rica | 0.871 | 0.821 | 0.627 | 0.821 | 0.771 |
Finland | 0.861 | 0.816 | 0.612 | 0.792 | 0.779 |
Australia | 0.858 | 0.814 | 0.614 | 0.786 | 0.726 |
Germany | 0.857 | 0.807 | 0.615 | 0.816 | 0.792 |
Czech Republic | 0.853 | 0.784 | 0.565 | 0.74 | 0.772 |
Netherlands | 0.852 | 0.8 | 0.58 | 0.804 | 0.765 |
Slovakia | 0.851 | 0.779 | 0.612 | 0.605 | 0.702 |
Canada | 0.847 | 0.739 | 0.6 | 0.715 | 0.669 |
Portugal | 0.846 | 0.753 | 0.58 | 0.737 | 0.723 |
Italy | 0.844 | 0.766 | 0.668 | 0.768 | 0.775 |
United Kingdom | 0.843 | 0.766 | 0.603 | 0.73 | 0.705 |
Japan | 0.803 | 0.736 | 0.537 | 0.744 | 0.761 |
Taiwan | 0.831 | 0.725 | 0.66 | 0.734 | 0.745 |
Argentina | 0.823 | 0.642 | 0.56 | 0.642 | 0.642 |
Latvia | 0.821 | 0.73 | 0.583 | 0.689 | 0.695 |
United States of America | 0.819 | 0.741 | 0.682 | 0.711 | 0.802 |
Iceland | 0.819 | 0.732 | 0.6 | 0.714 | 0.73 |
South Korea | 0.812 | 0.732 | 0.539 | 0.682 | 0.698 |
Chile | 0.811 | 0.755 | 0.571 | 0.758 | 0.619 |
Uruguay | 0.804 | 0.715 | 0.639 | 0.662 | 0.632 |
Slovenia | 0.799 | 0.704 | 0.579 | 0.702 | 0.685 |
Jamaica | 0.797 | 0.695 | 0.529 | 0.678 | 0.659 |
Lithuania | 0.797 | 0.741 | 0.588 | 0.648 | 0.687 |
Austria | 0.794 | 0.7 | 0.556 | 0.671 | 0.71 |
Trinidad and Tobago | 0.784 | 0.666 | 0.503 | 0.713 | 0.629 |
Greece | 0.783 | 0.6 | 0.536 | 0.684 | 0.659 |
Malta | 0.782 | 0.641 | 0.555 | 0.634 | 0.692 |
Barbados | 0.782 | 0.666 | 0.331 | 0.687 | 0.651 |
Cyprus | 0.777 | 0.644 | 0.479 | 0.63 | 0.672 |
Vanuatu | 0.771 | 0.656 | 0.483 | 0.615 | 0.596 |
Suriname | 0.77 | 0.653 | 0.498 | 0.606 | 0.579 |
Seychelles | 0.761 | 0.675 | 0.325 | 0.688 | 0.634 |
Moldova | 0.752 | 0.642 | 0.52 | 0.674 | 0.582 |
Cape Verde | 0.75 | 0.647 | 0.466 | 0.618 | 0.565 |
Peru | 0.744 | 0.627 | 0.517 | 0.444 | 0.455 |
Croatia | 0.738 | 0.648 | 0.507 | 0.587 | 0.577 |
Panama | 0.729 | 0.556 | 0.432 | 0.56 | 0.445 |
Israel | 0.723 | 0.65 | 0.473 | 0.612 | 0.591 |
Timor-Leste | 0.695 | 0.504 | 0.432 | 0.497 | 0.434 |
South Africa | 0.692 | 0.581 | 0.43 | 0.598 | 0.479 |
Senegal | 0.69 | 0.532 | 0.386 | 0.563 | 0.517 |
Colombia | 0.689 | 0.541 | 0.47 | 0.537 | 0.381 |
Romania | 0.689 | 0.547 | 0.499 | 0.35 | 0.482 |
Bulgaria | 0.688 | 0.613 | 0.486 | 0.588 | 0.546 |
Sao Tome and Principe | 0.684 | 0.578 | 0.429 | 0.521 | 0.488 |
Dominican Republic | 0.679 | 0.465 | 0.46 | 0.605 | 0.369 |
Brazil | 0.678 | 0.523 | 0.424 | 0.448 | 0.324 |
Ecuador | 0.657 | 0.5 | 0.462 | 0.461 | 0.41 |
Georgia | 0.647 | 0.504 | 0.408 | 0.532 | 0.515 |
Nepal | 0.646 | 0.501 | 0.427 | 0.394 | 0.419 |
Armenia | 0.645 | 0.445 | 0.401 | 0.502 | 0.54 |
Malawi | 0.642 | 0.538 | 0.406 | 0.511 | 0.382 |
Lesotho | 0.641 | 0.504 | 0.401 | 0.493 | 0.505 |
Liberia | 0.634 | 0.461 | 0.35 | 0.428 | 0.41 |
Namibia | 0.634 | 0.507 | 0.381 | 0.463 | 0.323 |
Ghana | 0.633 | 0.543 | 0.316 | 0.526 | 0.47 |
The Gambia | 0.62 | 0.496 | 0.395 | 0.458 | 0.421 |
Solomon Islands | 0.618 | 0.476 | 0.366 | 0.359 | 0.343 |
Kosovo | 0.618 | 0.463 | 0.36 | 0.414 | 0.432 |
Mexico | 0.598 | 0.346 | 0.4 | 0.358 | 0.331 |
Bolivia | 0.597 | 0.348 | 0.417 | 0.354 | 0.4 |
Maldives | 0.583 | 0.44 | 0.323 | 0.43 | 0.402 |
Paraguay | 0.581 | 0.433 | 0.354 | 0.346 | 0.252 |
Botswana | 0.577 | 0.462 | 0.375 | 0.378 | 0.399 |
Sri Lanka | 0.575 | 0.412 | 0.343 | 0.328 | 0.369 |
Poland | 0.574 | 0.425 | 0.353 | 0.358 | 0.494 |
Indonesia | 0.574 | 0.422 | 0.385 | 0.487 | 0.316 |
Mongolia | 0.566 | 0.431 | 0.293 | 0.434 | 0.38 |
Sierra Leone | 0.559 | 0.424 | 0.362 | 0.508 | 0.394 |
Honduras | 0.556 | 0.402 | 0.35 | 0.377 | 0.253 |
North Macedonia | 0.551 | 0.365 | 0.369 | 0.371 | 0.364 |
Bhutan | 0.535 | 0.434 | 0.328 | 0.495 | 0.446 |
Guyana | 0.535 | 0.365 | 0.312 | 0.26 | 0.38 |
Bosnia and Herzegovina | 0.528 | 0.365 | 0.318 | 0.355 | 0.366 |
Kenya | 0.522 | 0.425 | 0.36 | 0.449 | 0.353 |
Mauritius | 0.521 | 0.385 | 0.336 | 0.455 | 0.409 |
Zambia | 0.518 | 0.433 | 0.352 | 0.462 | 0.321 |
Niger | 0.511 | 0.382 | 0.329 | 0.461 | 0.354 |
Montenegro | 0.501 | 0.404 | 0.3 | 0.389 | 0.401 |
Madagascar | 0.495 | 0.259 | 0.293 | 0.283 | 0.217 |
Nigeria | 0.49 | 0.32 | 0.327 | 0.322 | 0.266 |
Albania | 0.484 | 0.409 | 0.3 | 0.273 | 0.355 |
Papua New Guinea | 0.458 | 0.366 | 0.275 | 0.273 | 0.268 |
Benin | 0.45 | 0.305 | 0.266 | 0.297 | 0.35 |
Hungary | 0.445 | 0.337 | 0.294 | 0.213 | 0.324 |
Malaysia | 0.438 | 0.304 | 0.255 | 0.323 | 0.339 |
Ivory Coast | 0.437 | 0.239 | 0.304 | 0.399 | 0.258 |
Guatemala | 0.435 | 0.263 | 0.259 | 0.239 | 0.174 |
Philippines | 0.431 | 0.283 | 0.287 | 0.36 | 0.193 |
Togo | 0.426 | 0.239 | 0.273 | 0.359 | 0.313 |
Lebanon | 0.426 | 0.258 | 0.248 | 0.319 | 0.26 |
Singapore | 0.425 | 0.339 | 0.121 | 0.356 | 0.361 |
Somaliland | 0.421 | 0.261 | 0.257 | 0.262 | 0.172 |
Ukraine | 0.406 | 0.234 | 0.273 | 0.351 | 0.317 |
Fiji | 0.406 | 0.267 | 0.215 | 0.303 | 0.282 |
India | 0.399 | 0.306 | 0.262 | 0.295 | 0.235 |
Tanzania | 0.398 | 0.359 | 0.264 | 0.334 | 0.348 |
Mauritania | 0.395 | 0.163 | 0.26 | 0.28 | 0.133 |
Pakistan | 0.388 | 0.26 | 0.256 | 0.32 | 0.156 |
Kyrgyzstan | 0.382 | 0.228 | 0.204 | 0.284 | 0.232 |
El Salvador | 0.378 | 0.147 | 0.218 | 0.149 | 0.144 |
Guinea-Bissau | 0.371 | 0.152 | 0.171 | 0.194 | 0.217 |
Gabon | 0.369 | 0.209 | 0.252 | 0.282 | 0.28 |
Iraq | 0.362 | 0.197 | 0.195 | 0.222 | 0.187 |
Mozambique | 0.362 | 0.243 | 0.229 | 0.225 | 0.244 |
Serbia | 0.361 | 0.265 | 0.25 | 0.231 | 0.316 |
Angola | 0.344 | 0.174 | 0.112 | 0.163 | 0.145 |
Democratic Republic of the Congo | 0.337 | 0.154 | 0.186 | 0.275 | 0.182 |
Central African Republic | 0.321 | 0.17 | 0.131 | 0.17 | 0.155 |
Ethiopia | 0.319 | 0.152 | 0.168 | 0.258 | 0.22 |
Kuwait | 0.317 | 0.301 | 0.101 | 0.267 | 0.236 |
Tunisia | 0.307 | 0.223 | 0.223 | 0.293 | 0.305 |
Cameroon | 0.297 | 0.137 | 0.122 | 0.122 | 0.191 |
Burkina Faso | 0.295 | 0.219 | 0.183 | 0.273 | 0.23 |
Uganda | 0.285 | 0.2 | 0.18 | 0.262 | 0.173 |
Zimbabwe | 0.285 | 0.186 | 0.215 | 0.215 | 0.189 |
Comoros | 0.284 | 0.115 | 0.206 | 0.191 | 0.226 |
Zanzibar | 0.284 | 0.233 | 0.173 | 0.264 | 0.256 |
Algeria | 0.281 | 0.134 | 0.11 | 0.184 | 0.26 |
Kazakhstan | 0.277 | 0.14 | 0.114 | 0.178 | 0.224 |
Turkey | 0.276 | 0.118 | 0.164 | 0.084 | 0.209 |
Bangladesh | 0.274 | 0.109 | 0.127 | 0.121 | 0.114 |
Morocco | 0.264 | 0.251 | 0.161 | 0.255 | 0.208 |
Palestine (West Bank) | 0.26 | 0.139 | 0.173 | 0.148 | 0.211 |
Jordan | 0.259 | 0.249 | 0.12 | 0.22 | 0.203 |
Djibouti | 0.255 | 0.125 | 0.151 | 0.147 | 0.192 |
Haiti | 0.248 | 0.155 | 0.109 | 0.215 | 0.07 |
Mali | 0.235 | 0.153 | 0.175 | 0.252 | 0.198 |
Republic of the Congo | 0.234 | 0.107 | 0.189 | 0.193 | 0.131 |
Rwanda | 0.228 | 0.117 | 0.172 | 0.213 | 0.211 |
Uzbekistan | 0.221 | 0.081 | 0.064 | 0.16 | 0.16 |
Venezuela | 0.214 | 0.064 | 0.159 | 0.041 | 0.106 |
Libya | 0.213 | 0.11 | 0.156 | 0.229 | 0.15 |
Russia | 0.209 | 0.071 | 0.142 | 0.073 | 0.15 |
Thailand | 0.206 | 0.179 | 0.109 | 0.073 | 0.16 |
Cambodia | 0.206 | 0.063 | 0.117 | 0.067 | 0.092 |
Guinea | 0.191 | 0.098 | 0.17 | 0.08 | 0.132 |
Burundi | 0.189 | 0.079 | 0.087 | 0.079 | 0.107 |
Azerbaijan | 0.188 | 0.063 | 0.059 | 0.048 | 0.098 |
Iran | 0.182 | 0.105 | 0.047 | 0.093 | 0.171 |
Cuba | 0.178 | 0.056 | 0.088 | 0.098 | 0.229 |
Nicaragua | 0.177 | 0.034 | 0.114 | 0.028 | 0.081 |
Egypt | 0.175 | 0.118 | 0.092 | 0.091 | 0.093 |
Belarus | 0.175 | 0.042 | 0.059 | 0.039 | 0.224 |
Tajikistan | 0.175 | 0.048 | 0.054 | 0.055 | 0.07 |
Equatorial Guinea | 0.172 | 0.051 | 0.048 | 0.043 | 0.111 |
Oman | 0.17 | 0.137 | 0.121 | 0.062 | 0.185 |
Sudan | 0.169 | 0.074 | 0.09 | 0.063 | 0.102 |
Somalia | 0.162 | 0.101 | 0.09 | 0.145 | 0.081 |
Vietnam | 0.157 | 0.115 | 0.159 | 0.174 | 0.194 |
Hong Kong | 0.154 | 0.126 | 0.056 | 0.048 | 0.191 |
Turkmenistan | 0.149 | 0.035 | 0.032 | 0.025 | 0.088 |
Chad | 0.14 | 0.031 | 0.087 | 0.101 | 0.069 |
Palestine (Gaza) | 0.138 | 0.081 | 0.122 | 0.071 | 0.165 |
Syria | 0.138 | 0.033 | 0.051 | 0.034 | 0.054 |
Laos | 0.134 | 0.108 | 0.115 | 0.057 | 0.129 |
South Sudan | 0.129 | 0.059 | 0.05 | 0.036 | 0.036 |
Yemen | 0.123 | 0.045 | 0.069 | 0.03 | 0.026 |
Bahrain | 0.122 | 0.055 | 0.036 | 0.068 | 0.113 |
Eswatini | 0.12 | 0.096 | 0.079 | 0.036 | 0.061 |
United Arab Emirates | 0.101 | 0.086 | 0.032 | 0.086 | 0.136 |
Myanmar | 0.093 | 0.046 | 0.093 | 0.062 | 0.067 |
Qatar | 0.088 | 0.083 | 0.022 | 0.104 | 0.099 |
North Korea | 0.087 | 0.01 | 0.045 | 0.011 | 0.084 |
Afghanistan | 0.082 | 0.028 | 0.019 | 0.025 | 0.019 |
China | 0.075 | 0.04 | 0.042 | 0.079 | 0.088 |
Eritrea | 0.073 | 0.012 | 0.011 | 0.033 | 0.124 |
Saudi Arabia | 0.016 | 0.043 | 0.026 | 0.06 | 0.109 |
Impact and usage
A variety of other organizations use V-Dem's dataset in the construction of their indicators.[14][15] USAID's Journey to Self Reliance Country Roadmap uses V-Dem's data to inform three of its indicators: Liberal Democracy (from V-Dem's Liberal Democracy Index), Social Group Equality (from V-Dem's Social Group Equality in Respect for Civil Liberties) and Civil Society and Media Effectiveness (from V-Dem's Diagonal Accountability Index).[14] The World Bank's Worldwide Governance Indicators also use V-Dem's data to inform their Control of Corruption indicator (includes V-Dem's Corruption index), Rule of Law Indicator (includes V-Dem's liberal component index), and the Voice and Accountability Indicator (includes V-Dem's Expanded freedom of expression, freedom of association, and Clean elections indicators).[15]
Digital Society Project
The Digital Society Project is a subset of indicators on V-Dem's survey that asks questions about social media's political status and the internet.[11] Specifically, the Digital Society Project measures a range of questions related to internet censorship, misinformation online, and internet shutdowns.[16] This annual report includes 35 indicators assessing five areas: disinformation, digital media freedom, state regulation of digital media, the polarization of online media, and online social cleavages.[17][18] It has been updated each year starting in 2019, with data covering from 2000-2021.[17] Similar to other expert analyses like Freedom House, these data are more prone to false positives when compared with remotely sensed data, such as that from Access Now or the OpenNet Initiative.[18]
Criticisms
Political scientist Jonas Wolff criticized V-Dem for gradually abandoning a pluralist conceptualization of democracy. According to him, V-Dem has moved away from its original emphasis on the conceptual varieties of democracy and adopted an uncontested view of democracy as liberal democracy while also ignoring the limitations of liberal democracy.[19]
Political scientists Andrew T. Little and Anne Meng argue that the data produced by the Varieties of Democracy (V-Dem) project relies heavily on subjective, as opposed to objective, measures and thus are tainted by coder bias.[20]
See also
References
- "New index rates countries by degree of freedom for scholars".
- V-Dem Institute (2022). "The V-Dem Dataset". Retrieved 8 December 2022.
- Hegedüs, Daniel (2020). "Varieties of Democracy: Measuring Two Centuries of Political Change. By Michael Coppedge, John Gerring, Adam Glynn, Carl Henrik Knutsen, Staffan I. Lindberg, Daniel Pemstein, Brigitte Seim, Svend-Erik Skaaning, and Jan Teorell. Cambridge: Cambridge University Press, 2020. 226p. $99.99 cloth". Perspectives on Politics. 18 (4): 1258–1260. doi:10.1017/S1537592720003059. ISSN 1537-5927. S2CID 230623566.
- Lührmann, Anna, Marcus Tannenberg, and Staffan I. Lindberg. "Regimes of the world (RoW): Opening new avenues for the comparative study of political regimes". Politics and Governance 6.1 (2018): 60.
- Herre, Bastian (December 2, 2021). "The 'Regimes of the World' data: how do researchers measure democracy?". Our World in Data. Retrieved March 12, 2023.
- Herre, Bastian; Ortiz-Ospina, Esteban; Roser, Max (2013-03-15). "Democracy". Our World in Data. Retrieved 2023-03-16.
- "New democracy dataset to 'revolutionize' democracy research". 8 January 2016.
- Tucker, Joshua. "Open data and (15 million!) new measures of democracy". Washington Post.
- Coppedge, Michael, John Gerring, Carl Henrik Knutsen, Staffan I. Lindberg, Jan Teorell, Kyle L. Marquardt, Juraj Medzihorsky, Daniel Pemstein, Nazifa Alizada, Lisa Gastaldi, Garry Hindle, Johannes von Römer, Eitan Tzelgov, Yi-ting Wang, and Steven Wilson. 2020. "V-Dem Methodology v10". Varieties of Democracy (V-Dem) Project.
- V-Dem Institute (2023). "The V-Dem Dataset". Retrieved 14 October 2023.
- Coppedge, Michael, John Gerring, Carl Henrik Knutsen, Staffan I. Lindberg,Jan Teorell, David Altman, Michael Bernhard, Agnes Cornell, M. Steven Fish, Lisa Gastaldi,Haakon Gjerløw, Adam Glynn, Allen Hicken, Anna Lührmann, Seraphine F. Maerz, Kyle L. Marquardt, Kelly McMann, Valeriya Mechkova, Pamela Paxton, Daniel Pemstein, Johannes vonRömer, Brigitte Seim, Rachel Sigman, Svend-Erik Skaaning, Jeffrey Staton, Aksel Sundtröm, EitanTzelgov, Luca Uberti, Yi-ting Wang, Tore Wig, and Daniel Ziblatt (2021). "V-Dem Codebook v11". Varieties of Democracy (V-Dem) Project. Archived 8 June 2021 at the Wayback Machine
- Coppedge, Michael, et al. Varieties of democracy: Measuring two centuries of political change. Cambridge University Press, 2020.
- Nazifa Alizada, Rowan Cole, Lisa Gastaldi, Sandra Grahn, Sebastian Hellmeier, Palina Kolvani, Jean Lachapelle, Anna Lührmann, Seraphine F. Maerz, Shreeya Pillai, and Staffan I. Lindberg. 2021. Autocratization Turns Viral. Democracy Report 2021. University of Gothenburg: V-Dem Institute. https://www.v-dem.net/media/filer_public/74/8c/748c68ad-f224-4cd7-87f9-8794add5c60f/dr_2021_updated.pdf
- USAID (2020) FY 2021 USAID Journey to Self-Reliance Country RoadmapMethodology Guide. https://selfreliance.usaid.gov/docs/FY_2021_USAID_Journey_to_Self-Reliance_Country_Roadmap_Methodology_Guide.pdf
- "WGI-Documents". The World Bank. Retrieved 2021-06-27.
- Mechkova, V., Daniel P., Brigitte S.,&Steven W. (2020). Digital Society Project Dataset v2.Varieties of Democracy (V-Dem) Project http://digitalsocietyproject.org/
- Mechkova, Valeriya; Pemstein, Daniel; Seim, Brigitte; Wilson, Steven (2021). Digital Society Survey Codebook (PDF). Digital Society Project.
- Fletcher, Terry; Hayes-Birchler, Andria (2020-07-30). Comparing Measures of Internet Censorship: Analyzing the Tradeoffs between Expert Analysis and Remote Measurement. Data for Policy 2020.
- Wolff, Jonas (2022-07-06). "From the Varieties of Democracy to the defense of liberal democracy: V-Dem and the reconstitution of liberal hegemony under threat". Contemporary Politics. 29 (2): 161–181. doi:10.1080/13569775.2022.2096191. ISSN 1356-9775. S2CID 250372421.
- Andrew Little and Anne Meng,“Measuring Democratic Backsliding.“ PS: Political Science & Politics (forthcoming). https://osf.io/n32zk/
Further reading
- Max Fisher, "U.S. Allies Drive Much of World's Democratic Decline, Data Shows: Washington-aligned countries backslid at nearly double the rate of non-allies, data shows, complicating long-held assumptions about American influence". The New York Times. November 16, 2021.
- Vanessa A. Boese, Markus Eberhardt: "Which Institutions Rule? Unbundling the Democracy-Growth Nexus", V-Dem Institute, Series 2022:131, February 2022.