DTEF: Predict response distributions for Male. Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Rural. Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for China. Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Brazil. Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Australia. Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for More excited than concerned. Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for 46-55. Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Kazakhstan. Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Urban. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Rural. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Philippines. Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Pakistan. Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Korea South. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Germany. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for 18-25. Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Bangladesh. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)