social media analytics for the 3rd and final presidential debate
TRANSCRIPT
3rd and Final Presidential Debate
A Social Media Report
Data are gathered and analyzed live during the course of the Presidential Debate last Sunday 4-24-2016
Tzar C. Umang
23o9.tech of Tzar EnterprisesMetro Dagupan ICT Council
Twits and Instagram Activity• Goal• Visualize Movement of users during the debate
23o9.tech of Tzar EnterprisesMetro Dagupan ICT Council
#PiliPinasDebates2016
6:00:00 PM 6:30:00 PM 7:00:00 PM 7:30:00 PM 8:00:00 PM 8:30:00 PM 9:00:00 PM Closing 9:30pm0.00
1,000.00
2,000.00
3,000.00
4,000.00
5,000.00
6,000.00
7,000.00
8,000.00
#PiliPinasDebates2016 Users vs Posts
User Post
Users and Post is directly proportional, and the increase is time driven, from the graph it tells that during the period of 7:00pm to 8:00pm there is a steep uphill on users, this is the time where debate topics and section are hot
8:00pm to 9:00pm we can say that it is somewhat sustaining a very low downhill average still on the realm of sustaining interest
23o9.tech of Tzar EnterprisesMetro Dagupan ICT Council
#PiliPinasDebates2016
6:00:00 PM 6:30:00 PM 7:00:00 PM 7:30:00 PM 8:00:00 PM 8:30:00 PM 9:00:00 PM Closing 9:30pm0.00
20,000,000.00
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200,000,000.00
#PiliPinasDebates2016 Reach vs Impression
Reach Impression
Reach exponentially increase based on the influx of users up to the 3rd level of the users that are logged inWhile impression increase based on influx of users up to the 3rd level of the users that are logged in with consideration to interaction, where it creates of realm of network to network, not like in Reach which is on surface level. From the graph we can see that the reach is sustained from 7:00pm to 9:00pm, while for impression, its peak is on 8:00pm, where there is an increased interest on the topics discussed on the debate, this
coincide with the town hall inquiry, between candidates
23o9.tech of Tzar EnterprisesMetro Dagupan ICT Council
#Halalan2016
6:00:00 PM 6:30:00 PM 7:00:00 PM 7:30:00 PM 8:00:00 PM 8:30:00 PM 9:00:00 PM Closing 9:30pm0
1,000
2,000
3,000
4,000
5,000
6,000
#Halalan2016 Users Vs. Posts
User PostFor #Halalan2016 Users Vs. Post increase on this case is not totally directly proportional, it tells that users online during the debate may have varying level of activities, users may post two or three or more postings, or chances are users slows down on
posting, while users exponentially increases. And from this graph it shows that users and post increases after 9:00pm this means that more users actively uses it when the debate is near to its end, this is due to the fact that #Halalan2016 is used by a news
agency, where news and updates tend to increase drastically after the event to fill in the need for news and updates
23o9.tech of Tzar EnterprisesMetro Dagupan ICT Council
#Halalan2016
6:00:00 PM 6:30:00 PM 7:00:00 PM 7:30:00 PM 8:00:00 PM 8:30:00 PM 9:00:00 PM Closing 9:30pm0
20,000,000
40,000,000
60,000,000
80,000,000
100,000,000
120,000,000
140,000,000
#Halalan2016 Reach Vs. Impression
Reach ImpressionReach exponentially increase based on the influx of users up to the 3rd level of the users that are logged in
While impression increase based on influx of users up to the 3rd level of the users that are logged in with consideration to interaction, where it creates of realm of network to network, not like in Reach which is on surface level, the graph here is really interesting, where impression’s climax
is at 8:00pm as expected where town hall inquiry is done for each candidates, it means people are interacting and using the hashtag, though a downhill is observed up to 9:00pm, for a reason that #Halalan2016 is connected to a news agency, people tend not to sustain the interaction. And
an uphill is observed by 9:00 pm it is observable as the news updates is again most active during this time
23o9.tech of Tzar EnterprisesMetro Dagupan ICT Council
#PiliPinasDebates2016 vs. #Halalan2016
6:00:00 PM 6:30:00 PM 7:00:00 PM 7:30:00 PM 8:00:00 PM 8:30:00 PM 9:00:00 PM Closing 9:30pm0.00
20,000,000.00
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120,000,000.00
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200,000,000.00
Impression #PiliPinasDebates2016 vs. #Halalan2016
Imp - #PiliPinasDebates2016 Imp - #Halalan2016
Impression for #PiliPinasDebate2016 and #Halalan2016 both have peak @ 8:00pm, but #PilipinasDebate2016 have a slower downhill, while #Halalan2016, have a steeper downhill but have another round of uphill by 9:00pm due to influx of news updatesFrom this graph, with its uphill and downhill status, #PiliPinasDebate2016 is more organic as to social media activity, and the best
source of Sentiment Analysis.
23o9.tech of Tzar EnterprisesMetro Dagupan ICT Council
Keyword Relations• Goal• To show the significant keyword for each candidates
• Rudy Duterte• Grace Poe• Jejomar Binay• Miriam Defensor Santiago• Mar Roxas
23o9.tech of Tzar EnterprisesMetro Dagupan ICT Council
Rudy Duterte (Duterte)
Based from keyword area – size, OFW/S and Presidente is the one that is biggest. It shows that people are talking about Duterte with greater significance to any topic in relations to the keyword OFW/S and Presidente. It means that during the event he is the most relevant for the two keywords and its topics.
23o9.tech of Tzar EnterprisesMetro Dagupan ICT Council
Grace Poe
Based from the keyword area – size, the biggest is gracepoe, it means that Grace Poe is only relevant to itself, as you can see, all other keywords are small which means insignificant, and no other keywords relevant during the debate is associated to it, it means viewers see no relevance to Grace Poe to any of the topic discussed during the debate
23o9.tech of Tzar EnterprisesMetro Dagupan ICT Council
Jejomar Binay
Based from the keyword area – size, Roxas is the biggest, it means that supporters and viewers talks about Jejomar Binay hand in hand with Mar Roxas. It shows that Jejomar Binay and Mar Roxas Supporters are in Collision during the debate
*** Keyword relations is the same as Keyword Collision
23o9.tech of Tzar EnterprisesMetro Dagupan ICT Council
Miriam Defensor Santiago
Based from the keyword area – size, Santiago, Miriam and Defensor is the biggest, this is a case the same to Grace Poe but more special, even though that it has smaller words around, it has more sensible and worthy set of keywords like “youth”, “necessity”, “choice” though with the topics in debate Miriam Defensor Santiago is still irrelevant or the users didn’t see her relevance in every topic that the debate have.
23o9.tech of Tzar EnterprisesMetro Dagupan ICT Council
Mar Roxas
Based from the keyword area – size, Binay is the biggest, it means that supporters and viewers talks about Mar Roxas hand in hand with Jejomar Binay. It shows that Jejomar Binay and Mar Roxas Supporters are in Collision during the debate
*** Keyword relations is the same as Keyword Collision
23o9.tech of Tzar EnterprisesMetro Dagupan ICT Council
Keyword Analysis• Key Points• Only Duterte gets a relevant set of keyword association during the debate• The rest are person to person, or “only me” keyword association
23o9.tech of Tzar EnterprisesMetro Dagupan ICT Council
All time keyword for #PiliPinasDebates2016
Most talked with #PiliPinasDebates2016 is Duterte
23o9.tech of Tzar EnterprisesMetro Dagupan ICT Council
All time keyword for #Halalan2016
Most talked with #Halalan2016 is Duterte
23o9.tech of Tzar EnterprisesMetro Dagupan ICT Council
Thank you Everyone