Through segmenting of the conversation into basic categories we can isolate contributors who partake in particular topics or those who hold certain sentiment towards a party or politician. We can then extract certain demographic information about the individuals in these separate groups.

1. Contributor Metrics
2013-2016

2. Category Metrics - Pro and Anti DA
In this section we have segmented the conversation into two basic categories -
Pro and Anti DA. We can then extract demographic information about the
individuals engaging in these separate groups.
The Pro DA category includes all the content from the following sub categories:
Democratic Alliance - Positive
Pro DA vs ANC
Pro DA vs EFF
DA + Multi Party - General Positive
The Anti DA category includes all the content from the following sub
categories:
Democratic Alliance - Negative
Pro ANC vs DA
Pro EFF vs DA
DA + Multi Party - General Negative

3. Pro DA Gender Demographics
34% of all posts had an identifiable gender
35% were female - 65% male
When comparing men and women’s perspectives on the party, the same key components (#DA,
@helenzille, vote, Musi and ANC) are evident in both parties. Unexpectedly, men drove 65% of the total
conversation.

4. Anti DA Gender Demographics
30% of all posts had an identifiable gender
35% were female - 65% male
Considering just the negative conversation, we note that 65% of the conversation is driven by Men and (with
the difference of men engaging @khayadlanga far more than women do) there is very few major differences
between the conversations.

5. Pro DA - Geography
Province % of total
Gauteng 47.48%
Western Cape 28.96%
KwaZulu-Natal 8.19%
Eastern Cape 6.18%
Mpumalanga 2.55%
North West 2.11%
Limpopo 1.80%
Orange Free State 1.53%
Northern Cape 1.21%
City/Urban Area %of total
Johannesburg 35.85%
Cape Town 29.54%
Pretoria 10.07%
Durban 7.25%
Port Elizabeth 4.03%
Bloemfontein 1.43%
Benoni 1.21%
East London 1.21%
Potchefstroom 1.11%
Polokwane 1.07%
Kimberley 0.85%
Rustenburg 0.61%
Middelburg 0.59%
Pietermaritzburg 0.52%
Vereeniging 0.50%
Paarl 0.50%
Mbombela 0.42%
Grahamstown 0.41%
Knysna 0.30%
Tzaneen 0.26%
Mmabatho 0.24%
Umtata 0.18%
Klerksdorp 0.16%
Bethal 0.16%
Thohoyandou 0.15%
Mossel Bay 0.15%
Welkom 0.12%
Hermanus 0.11%
George 0.11%
Queenstown 0.11%
Worcester 0.10%
Brits 0.09%
Volksrust 0.09%
Ulundi 0.07%
Uitenhage 0.07%
Port Shepstone 0.06%
Colesberg 0.06%
Upington 0.04%
Kuruman 0.03%
Ladysmith 0.03%
Kroonstad 0.03%
Lebowakgomo 0.02%
Komatipoort 0.02%
Bhisho 0.01%
Vryheid 0.01%
Standerton 0.01%
Vryburg 0.01%
Oudtshoorn 0.01%

6. Anti DA - Geography
Province % of total
Gauteng 53.20%
Western Cape 23.63%
KwaZulu-Natal 10.47%
Eastern Cape 4.80%
Limpopo 2.15%
Orange Free State 1.88%
North West 1.84%
Mpumalanga 1.69%
Northern Cape 0.34%
City/Urban Area %of total
Johannesburg 38.51%
Cape Town 23.52%
Pretoria 12.94%
Durban 9.23%
Port Elizabeth 3.17%
Bloemfontein 1.81%
Polokwane 1.40%
Benoni 1.16%
Paarl 0.92%
Pietermaritzburg 0.91%
East London 0.71%
Rustenburg 0.58%
Potchefstroom 0.56%
Vereeniging 0.51%
Grahamstown 0.47%
Mbombela 0.44%
Middelburg 0.36%
Mmabatho 0.32%
Kimberley 0.29%
Brits 0.23%
Bethal 0.19%
Umtata 0.16%
Klerksdorp 0.14%
Knysna 0.14%
Ladysmith 0.13%
Ulundi 0.13%
Tzaneen 0.13%
Worcester 0.11%
Thohoyandou 0.11%
Volksrust 0.10%
Queenstown 0.08%
Port Shepstone 0.08%
Vryburg 0.06%
Welkom 0.06%
Mossel Bay 0.06%
Uitenhage 0.05%
Kroonstad 0.05%
Colesberg 0.03%
Kuruman 0.03%
Bethlehem 0.03%
Ubomba 0.02%
Vryheid 0.02%
Brandfort 0.02%
George 0.02%
Oudtshoorn 0.02%

7. END