Data for 2007
Government Dissemination of False Information (Domestic), 2007
2007, as V-Dem Institute’s 2026 release gives it · stored as published, never rewritten
V-Dem's measure of government disinformation asks how often a government and its agents use social media to spread misleading views or false information to their own population, from never to on every key political issue. It is an expert-coded estimate on an open-ended scale centred near zero, and a higher figure means less disinformation.
Government Dissemination of False Information (Domestic), 2007 covers 175 countries. Belgium is highest, at 2.957; Eritrea is lowest, at -2.816. The middle country reads 0.557. Against 2006, 27 values changed (5 up, 22 down), the same countries are covered.
Government Dissemination of False Information (Domestic) · Data for 2007
HighestBelgium
2.957LowestEritrea
-2.816Shaded by value in five groups of equal size, darkest at the better end.
01Position · derived
The table
Every country and every column of Government Dissemination of False Information (Domestic), 2007, as published. V-Dem Institute ranks nobody on this measure; the position is derived here by ordering the published values. “=” marks a shared position.
Showing 25 of 175 countries · select a heading to sort
| derived | ||
|---|---|---|
| 1 | BELWestern Europe | 2.957 |
| 2 | DEUWestern Europe | 2.909 |
| 3 | ESTNorthern Europe | 2.844 |
| 4 | FINNorthern Europe | 2.773 |
| 5 | DNKNorthern Europe | 2.743 |
| 6 | LTUNorthern Europe | 2.714 |
| 7 | POLEastern Europe | 2.682 |
| 8 | CRICentral America | 2.681 |
| 9 | URYSouth America | 2.679 |
| 10 | NLDWestern Europe | 2.568 |
| 11 | IRLNorthern Europe | 2.564 |
| 12 | CZEEastern Europe | 2.556 |
| 13 | CHEWestern Europe | 2.537 |
| 14 | PRTSouthern Europe | 2.446 |
| 15 | SVKEastern Europe | 2.431 |
| 16 | SWENorthern Europe | 2.420 |
| 17 | GHAWestern Africa | 2.354 |
| 18 | USANorthern America | 2.332 |
| 19 | CHLSouth America | 2.248 |
| 20 | SLBMelanesia | 2.235 |
| 21 | LVANorthern Europe | 2.226 |
| 22 | NZLAustralia and New Zealand | 2.097 |
| 23 | ROUEastern Europe | 2.039 |
| 24 | STPMiddle Africa | 2.038 |
| 25 | ESPSouthern Europe | 1.938 |
| 26 | CANNorthern America | 1.872 |
| 27 | NORNorthern Europe | 1.813 |
| 28 | BRASouth America | 1.762 |
| 29 | CYPWestern Asia | 1.752 |
| 30 | BWASouthern Africa | 1.726 |
| 31 | ITASouthern Europe | 1.651 |
| 32 | AUTWestern Europe | 1.648 |
| 33 | BGREastern Europe | 1.635 |
| 34 | PNGMelanesia | 1.614 |
| 35 | ARGSouth America | 1.601 |
| 36 | AUSAustralia and New Zealand | 1.575 |
| 37 | ZMBEastern Africa | 1.573 |
| 38 | VUTMelanesia | 1.568 |
| 39 | PERSouth America | 1.558 |
| 40 | ISLNorthern Europe | 1.459 |
| 41 | KOREastern Asia | 1.451 |
| 42 | LUXWestern Europe | 1.440 |
| 43 | BRBCaribbean | 1.423 |
| 44 | MDAEastern Europe | 1.416 |
| 45 | JAMCaribbean | 1.413 |
| 46 | TTOCaribbean | 1.402 |
| 47 | FRAWestern Europe | 1.387 |
| 48 | GNBWestern Africa | 1.386 |
| 49 | PANCentral America | 1.338 |
| 50 | MWIEastern Africa | 1.278 |
| 51 | NAMSouthern Africa | 1.276 |
| 52 | ZAFSouthern Africa | 1.273 |
| 53 | UKREastern Europe | 1.272 |
| 54 | PRYSouth America | 1.194 |
| 55 | BLREastern Europe | 1.182 |
| 56 | CPVWestern Africa | 1.147 |
| 57 | AGOMiddle Africa | 1.143 |
| 58 | BFAWestern Africa | 1.138 |
| 59 | BIHSouthern Europe | 1.079 |
| 60 | TLSSouth-eastern Asia | 1.072 |
| 61 | SVNSouthern Europe | 1.053 |
| 62 | ISRWestern Asia | 1.031 |
| 63 | SGPSouth-eastern Asia | 0.972 |
| 64 | HRVSouthern Europe | 0.967 |
| 65 | LBRWestern Africa | 0.954 |
| 66 | HUNEastern Europe | 0.929 |
| 67 | JPNEastern Asia | 0.906 |
| 68 | MNGEastern Asia | 0.904 |
| 69 | BENWestern Africa | 0.884 |
| 70 | MLIWestern Africa | 0.879 |
| 71 | NGAWestern Africa | 0.872 |
| 72 | TWNEastern Asia | 0.871 |
| =73 | MOZEastern Africa | 0.849 |
| =73 | GBRNorthern Europe | 0.849 |
| 75 | MNESouthern Europe | 0.819 |
| 76 | GRCSouthern Europe | 0.807 |
| =77 | GINWestern Africa | 0.782 |
| =77 | SENWestern Africa | 0.782 |
| 79 | XKXSouthern Europe | 0.775 |
| 80 | HTICaribbean | 0.761 |
| 81 | SURSouth America | 0.758 |
| 82 | GEOWestern Asia | 0.716 |
| 83 | MKDSouthern Europe | 0.713 |
| 84 | SWZSouthern Africa | 0.641 |
| 85 | MLTSouthern Europe | 0.597 |
| 86 | GTMCentral America | 0.587 |
| =87 | MRTWestern Africa | 0.557 |
| =87 | PAKSouthern Asia | 0.557 |
| 89 | SRBSouthern Europe | 0.506 |
| 90 | FJIMelanesia | 0.473 |
| 91 | SYCEastern Africa | 0.348 |
| 92 | IDNSouth-eastern Asia | 0.346 |
| 93 | BTNSouthern Asia | 0.329 |
| 94 | THASouth-eastern Asia | 0.318 |
| 95 | NPLSouthern Asia | 0.315 |
| 96 | INDSouthern Asia | 0.252 |
| 97 | MYSSouth-eastern Asia | 0.228 |
| 98 | HNDCentral America | 0.215 |
| 99 | BOLSouth America | 0.174 |
| 100 | HKGEastern Asia | 0.150 |
| 101 | LBNWestern Asia | 0.130 |
| 102 | RWAEastern Africa | 0.127 |
| 103 | ALBSouthern Europe | 0.122 |
| 104 | MDVSouthern Asia | 0.088 |
| 105 | LSOSouthern Africa | 0.063 |
| 106 | CIVWestern Africa | 0.060 |
| 107 | LAOSouth-eastern Asia | 0.008 |
| 108 | SLEWestern Africa | 0.001 |
| 109 | RUSEastern Europe | -0.016 |
| 110 | GUYSouth America | -0.039 |
| 111 | MEXCentral America | -0.059 |
| 112 | MDGEastern Africa | -0.090 |
| 113 | NERWestern Africa | -0.124 |
| 114 | COMEastern Africa | -0.138 |
| 115 | TZAEastern Africa | -0.158 |
| 116 | NICCentral America | -0.180 |
| 117 | BGDSouthern Asia | -0.190 |
| 118 | GABMiddle Africa | -0.242 |
| 119 | MUSEastern Africa | -0.268 |
| 120 | QATWestern Asia | -0.284 |
| 121 | KWTWestern Asia | -0.301 |
| 122 | TURWestern Asia | -0.334 |
| 123 | SLVCentral America | -0.338 |
| 124 | YEMWestern Asia | -0.347 |
| 125 | TCDMiddle Africa | -0.382 |
| 126 | MMRSouth-eastern Asia | -0.387 |
| 127 | KENEastern Africa | -0.452 |
| 128 | ECUSouth America | -0.454 |
| 129 | AFGSouthern Asia | -0.456 |
| 130 | KGZCentral Asia | -0.495 |
| 131 | MARNorthern Africa | -0.517 |
| 132 | SomalilandXSLEastern Africa | -0.526 |
| 133 | CMRMiddle Africa | -0.619 |
| 134 | SYRWestern Asia | -0.625 |
| 135 | OMNWestern Asia | -0.670 |
| 136 | PHLSouth-eastern Asia | -0.683 |
| 137 | ARMWestern Asia | -0.719 |
| 138 | LKASouthern Asia | -0.733 |
| 139 | JORWestern Asia | -0.742 |
| 140 | VNMSouth-eastern Asia | -0.772 |
| 141 | SAUWestern Asia | -0.804 |
| 142 | AREWestern Asia | -0.808 |
| 143 | IRQWestern Asia | -0.817 |
| 144 | KAZCentral Asia | -0.855 |
| 145 | DZANorthern Africa | -0.877 |
| 146 | COGMiddle Africa | -0.887 |
| 147 | ETHEastern Africa | -0.908 |
| 148 | COLSouth America | -0.930 |
| 149 | DOMCaribbean | -0.936 |
| 150 | BDIEastern Africa | -0.941 |
| 151 | SOMEastern Africa | -1.002 |
| 152 | GNQMiddle Africa | -1.013 |
| 153 | TGOWestern Africa | -1.053 |
| 154 | TUNNorthern Africa | -1.063 |
| 155 | EGYNorthern Africa | -1.073 |
| 156 | CHNEastern Asia | -1.106 |
| 157 | VENSouth America | -1.146 |
| 158 | UGAEastern Africa | -1.167 |
| 159 | IRNSouthern Asia | -1.190 |
| 160 | TJKCentral Asia | -1.194 |
| 161 | DJIEastern Africa | -1.199 |
| 162 | CODMiddle Africa | -1.218 |
| 163 | KHMSouth-eastern Asia | -1.234 |
| 164 | GMBWestern Africa | -1.277 |
| 165 | CAFMiddle Africa | -1.313 |
| 166 | ZWEEastern Africa | -1.412 |
| 167 | BHRWestern Asia | -1.430 |
| 168 | SDNNorthern Africa | -1.432 |
| 169 | UZBCentral Asia | -1.623 |
| 170 | LBYNorthern Africa | -1.741 |
| 171 | PRKEastern Asia | -1.831 |
| 172 | TKMCentral Asia | -1.945 |
| 173 | AZEWestern Asia | -2.380 |
| 174 | CUBCaribbean | -2.726 |
| 175 | ERIEastern Africa | -2.816 |
02In 2007
At either end
The 5 countries at each end of the headline.
Lowest
- 175
Eritrea-2.816
- 174
Cuba-2.726
- 173
Azerbaijan-2.380
- 172
Turkmenistan-1.945
- 171
North Korea-1.831
A higher value is the better result. The middle country reads 0.557. “Shared” marks a value another country also holds.
032006 → 2007
Since 2006
- +0 / −0countries joined / left
- 27values changed, of 175 in both
- 5 · 22rose · fell
- 148unchanged
04Caveats
Read before you use
One year of the 2026 release
Every year in this series comes from V-Dem Institute’s 2026 release, recalculated on one method, so a change from one year to the next is not a revision. It can differ from what was first published for 2007.
172 distinct values among 175
Values are stored exactly as published, to 3 decimals. 2 countries share 0.849. Countries sharing a value share a position too.
Nothing missing
Every one of the 175 countries has every column.
05The files
Download and cite
- .csv
For a spreadsheet or code
175 rows · 4.9 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download government-disinformation-2007-nations-inquiry.csv - ↗
The publisher’s original
V-Dem Institute’s own file, on its own site.
V-Dem-CY-FullOthers-v16_csv.zip
What this site changed: Reshaped to one row per country, with its ISO code; no value recalculated, rescaled or rounded. In full
Licence: CC BY-SA 4.0 · what it allows, in plain words
Cite this edition
V-Dem Institute, University of Gothenburg (2007). Government Dissemination of False Information (Domestic), 2007 [data set], describing 2007. As held by Nations Inquiry, https://nationsinquiry.com/datasets/government-disinformation/2007
0626 held
Other years
‹ The year before
Government Dissemination of False Information (Domestic), 2006175 countries
The year after ›
Government Dissemination of False Information (Domestic), 2008175 countries
All of them
Government Dissemination of False Information (Domestic): every year26 held, with the data dictionary, coverage and licence.
How it has moved, charted by country