10 May


Month #4
10 May 2019

The fourth Social Media Intelligence Report (SMIR) covers the latest rankings of senatorial candidates generated from April 1, 2019 to April 30, 2019. Based on the report, the candidates included in the Ranking by Exposure have changed significantly from last month. Former SAP Bong Go is in first place, followed by Bayan Muna Rep. Neri Colmenares at second place. Dr. Willie Ong is in third place and Mar Roxas at fourth place. Rounding up to the top 5 is reelectionist Grace Poe.

From 6th to 10th place are, Bato Dela Rosa, Imee Marcos, Larry Gadon, Chel Diokno and Florin Hilbay. Making it in the Magic 12 are Juan Ponce Enrile and Bam Aquino. JV Ejercito lost ground in the top 12 while Enrile gained traction this month. It is notable that four opposition candidates have increased their digital presence while those like Cynthia Villar and Francis Tolentino are weak.

For the metric Ranking by Popularity, Willie Ong and Bong Go head the list. In the top 12 are, Imee Marcos, Florin Hilbay, Chel Diokno, Bato Dela Rosa, Bam Aquino, Grace Poe, Sonny Angara, Mar Roxas, Neri Colmenares and Glenn Chong. Larry Gadon and Bong Revilla managed to slip the magic 12 while those like Glenn Chong and Sonny Angara made it to the rankings this month.

Doctor Willie Ong continues to lead the metric of Ranking by Virality. Florin Hilbay ranks second place and at the top 5 are, Chel Diokno, Bong Go and Grace Poe. Bato Dela Rosa, Bam Aquino, Neri Colmenares, Mar Roxas and Imee Marcos filling out the top ten. Reaching the top twelve are Glenn Chong and Romy Macalintal. Familiar names like Jinggoy Estrada and Bong Revilla did not make it this tracking period while Macalintal, Hilbay and Diokno have gained strength in this category. Raffy Alunan also lost footing this month.

The SMIR measures the preconceived opinion of the potential voters that is formed prior to official filing and after. The SMIR measures the stability of each qualified candidate’s perception among voters. This framework does not specifically differentiate probable event-based factors but measures the impact the event has on candidates, roughly shifting in perceptions and exposures.

The report was generated using a proprietary software of AutoPolitic with its CXO, Roger Do, serving as Social Intelligence Analyst to PUBLiCUS Asia. It was generated on April 1, 12:01 am, extracting social media data from March 1, 2019 to March 31, 2019 (18,877,692 data points) and from February 1, 2019 to February 28, 2019 (20,463,141 data points). Social Capacity Index was calculated from December 1, 2018 to March 31, 2019 (87,671,809 data points.). All the extracted data are from social media content, reactions, behavior index, and the nature of the extracted data was passive, without an active stimulus. This report does not include active stimulus triggering biases in the form of questions, survey, or polling.

Last January 2019, PUBLiCUS Asia launched its Social Media Intelligence Report (SMIR) as a guide to the May 2019 elections. PUBLiCUS Asia announced that the SMIR monthly report will be released to the public to guide the voters, campaigners and candidates on the blue ocean strategy re using digital for political campaigns.###

Table 1. Exposure, Popularity, Virality (April)


Table 2. Exposure, Popularity, Virality (March)


Table 3. Exposure, Popularity, Virality (February)


Table 4. Exposure, Popularity, Virality (January – Benchmark)




Ranked by Exposure
Measures the total exposure generated about the candidate, without differentiating the exposure contribute derived from paid, owned, or earned channels.

Ranked by Popularity
Measures the total response to the social media content. This measures a candidate’s mention’s effect on generating popular reaction and engagement and is a stable proxy for a candidate’s ability to use social media to rally the public. By inverse inference, it measures the voter’s fascination with specific candidates.

This metric is disproportionately influenced by 1) larger group size, 2) specific media channels, 3) unexpected scandal, 4) specific content responding to popular current events, and 5) paid-for advertisement and paid for boosting.

Ranked by Virality
Measures the spread potential of a candidate’s content, which is critical to measure a campaign’s potential to cross the channel barrier between various media, and in creating true virality. For this measure, data have been transformed into a weighted ranking to normalize the biased factors present in the Ranked by Popularity. These factors, while can be further influenced by advertising, measures a campaigns’ communication effectiveness, and helps calculate the potential voter’s reaction to surprise, scandals, and end of campaign period messages.


For questions/inquiries please contact:

  • Mr. Jake Bergonia | Mobile: +63 928 505 2010
  • Mr. Roger Do | Viber: +65 9617 0294