| name,number of records,labeling approach,political context (US or other),Percent Rep./Right Lean (True),Percent Dem./Left Lean (True),Percent Neither (True),Percent Not Political (True),Percent Rep./Right Lean (False),Percent Dem./Left Lean (False),Percent Neither (False),Percent Not Political (False),F1 Split tested,F1 search,F1 offline | |
| IFND,"56,868",Human expert,Other,9.1,10.75,34.78,45.37,9.63,6.21,42.55,41.61,All,56.5%,42.0% | |
| antivax,"15,465,687",Human expert,USA,0,0,0.26,99.74,0.16,0,0,99.84,na,na,na | |
| checkcovid,"1,504",Human expert,Other,4.27,13.87,41.33,40.53,23.71,4.63,38.15,33.51,All,78.8%,85.4% | |
| claimskg,"74,066",Human expert,Other,na,na,na,na,na,na,na,na,na,na,na | |
| climate_fever,"7,675",Human expert,Other,21.22,41.49,20.08,17.21,67.5,8.12,11.88,12.5,All,66.9%,65.3% | |
| cmu_miscov19,"4,573",Human (N.S.),Other,0,0,0,100,0,0,0.32,99.68,na,na,na | |
| coaid,"301,177",Source-based categorization (T) & Human expert (F),Other,3.1,8.34,44.49,44.06,52.38,4.76,28.57,14.29,All,62.0%,60.3% | |
| counter-covid-19-misinformation,"155,468",Human (N.S.),Other,0,0,0,0,0,0,0,100,na,na,na | |
| covid-19-disinformation,"16,000",Crowd-sourced,Other,0,0,0.14,99.86,0,0,0,100,na,na,na | |
| covid_19_rumor,"7,179",Human expert,Other,13.75,11.15,32.34,42.75,17.45,7.48,39.2,35.87,All,62.8%,65.8% | |
| covid_vaccine_misinfo_mic,"5,952",Crowd-sourced,Other,na,na,na,na,na,na,na,na,na,na,na | |
| covidfact,"4,086",Human-expert (T) & Algorithm-generated creation (F),Other,3.25,6.49,29.55,60.71,5.54,5.54,34.11,54.81,All,67.5%,67.4% | |
| defakts,"105,855",Human expert,Other,na,na,na,na,na,na,na,na,na,na,na | |
| esoc,"5,613",Human expert,Other,0,0,0,0,12.12,10.08,42.06,35.74,na,na,na | |
| fakecovid,"7,623",Human expert,Other,na,na,na,na,na,na,na,na,All,50.4%,51.0% | |
| faviq,"188,376",Algorithm & Validation by human,Other,0.27,1.49,13.15,85.08,0.8,0.8,14.32,84.08,Test,81.5%,80.7% | |
| fever,"185,445",Crowd-sourced,USA,1.29,1.47,14,83.24,0.94,0,16.51,82.55,Paper test,88.6%,89.2% | |
| feverous,"87,026",Algorithm,Other,0.84,1.87,11.87,85.42,2.05,1.57,14.72,81.66,Validation,65.6%,62.2% | |
| fibvid,"1,353",Human expert,Other,31.67,38.33,20.83,9.17,49.93,20.53,18.01,11.52,All,67.6%,67.3% | |
| hover,"26,171",Crowd-sourced,Other,0.46,1.47,12.72,85.35,0.67,0.89,11.74,86.69,Validation,68.8%,61.7% | |
| liar,"12,836",Human expert,USA,37.72,31.53,24.82,5.93,51.38,25.69,18.25,4.68,Test,44.8%,50.7% | |
| liar_new,"1,957",Human expert,USA,44.68,34.04,19.15,2.13,53.24,16.14,19.2,11.43,All,69.7%,63.6% | |
| mediaeval,"15,629",Source-based categorization,Other,0.22,0,0.22,99.56,0,0,0.39,99.61,na,na,na | |
| mm-covid,"11,173",Human expert,Other,1.27,8.2,13.15,77.37,22.22,9.32,39.43,29.03,All,85.6%,86.5% | |
| multiclaim,"31,305",Human expert,Other,na,na,na,na,na,na,na,na,na,na,na | |
| nlp4if,"3,172",Crowd-sourced,Other,na,na,na,na,na,na,na,na,na,na,na | |
| pheme,"62,445",Human expert and non-expert,Other,17.37,22.14,32.3,28.19,10.23,18.6,37.67,33.49,All,34.3%,33.4% | |
| pubhealthtab,"1,942",Human expert,Other,4.9,6.15,31.47,57.48,4.44,5.92,31.95,57.69,Test,30.8%,49.3% | |
| rumors,"1,022",Algorithm,Other,18.92,22.52,23.42,35.14,25.96,15.68,27,31.36,All,69.5%,80.7% | |
| snopes,"4,550",Human expert,USA,21.08,22.89,28.31,27.71,28.81,15.58,30.32,25.29,All,90.6%,81.4% | |
| truthseeker2023,"180,000",Crowd-sourced,USA,26.37,42.97,25,5.66,72.82,8.09,14.32,4.77,All,81.9%,81.0% | |
| twitter15,"1,490",Human expert,Other,3.21,4.02,15.26,77.51,13.83,8.5,18.18,59.49,All,57.7%,66.5% | |
| twitter16,818,Human expert,Other,4.83,17.87,23.19,54.11,20.25,12.84,17.04,49.88,All,49.2%,55.8% | |
| verite,"1,001",Human expert,Other,6.53,13.65,30.56,49.26,14.95,11.93,32.78,40.33,All,63.3%,59.8% | |
| wico,"364,325",Human expert,Other,0,0,0.31,99.69,0,0,0.3,99.7,na,na,na | |
| x_fact,"31,189",Human expert,Other,11.72,15.45,35.85,36.98,15.86,13.32,35.33,35.49,Test,55.0%,53.0% |