Can social data predict the 2012 Presidential election? We decided to ask a Gabriel Banos, CEO and Founder of Gnip client, Zauber Labs, about their work with social data and the elections. They’ve been following the 2012 Presidential Election social data closely and have interesting findings on share of voice and the differences between Twitter followers. Zauber Labs is the company behind Tribatics, which offers powerful insights into the demographics and behaviors of online followers, and Flowics, which has the ability to create live infographics using live Twitter data. As a side note, they are also the authors of Gnip4j, the open source java library to access Gnip Twitter feeds
1. Twitter is considered to have a bigger pre-existing user base of Democrats. How do you think political bias plays into Twitter and affects the results of the Flowics charts?
In general, we haven’t seen such an impact on buzz volume daily charts: difference in number of mentions for one candidate and the other one usually remains between average boundaries. We did saw an exception during the days of the Democratic National Convention, when Obama registered its record of buzz during the last month, far beyond Romney’s previous record during the Republican National Convention. This could be interpreted as a confirmation that Democrats are more active on Twitter. Last but not least, Romney’s own record of tweets during the Republican Convention was then overpassed by the buzz generated by the release of this video talking to millionaires at a private fundraising event.
2. Do you think social data can help predict the election?
Of course, we’ve seen how share of voice among different candidates can be used as a valid data input for models predicting elections result. We were able to confirm it last year for example, during Argentina’s presidential elections (share of voice figures for the main candidates clearly resembled the final election’s result). But that hadn’t been the case when we ran an experiment in 2010 for Brazilian elections. So, market researchers who might be interested in using social data to predict this kind of phenomena need to understand that a network like Twitter still has an important bias in some countries, that does not represent the composition of a whole society. For example, we still see more males than females being active on Twitter in most of the countries, although we know that female population usually surpasses the male population in most countries. So, social data used as a predictor or sensor for any market research or public opinion study, needs to be adjusted if we want to use as a snapshot of what a complete society thinks or feels.
3. What have you learned with Tribatics about the different demographic information about the Twitter followers of Obama and Romney?
While Obama has more than 20 million followers and Romney is approaching 1.2 million, only 415,000 people follow both candidates, that’s 35% of Romney’s followers but only 2% of Obama’s followers.
This is mostly due to the fact that Obama is a political figure widely recognized outside of the US, whereas Romney is still only relevant to American Twitter users. We were able to identify the location of 12.5% of Obama’s followers and only 29% of them are in the US, compared to 66% of Romney’s followers. In the case of Romney, we could successfully identify the location of nearly 30% of his followers.
The fact that Obama is widely recognized and followed beyond American citizens is also confirmed by the countries coming after the US that contribute to Obama’s followers:
- UK, Brasil, Indonesia, India, Mexico
In the case of Romney, the list is as follows:
- UK, Canada, Mexico, Cuba, Brasil
4. What can a political candidate learn by looking at social data?
There’s so much to learn from social data, that it would be easier to answer what you cannot learn!
With the current offering of Social Intelligence and Social Media Monitoring tools (with Tribatics being a product in these categories), a political candidate could learn:
- Which are the relevant topics of discussion of people talking about him or her?
- Who are the most influential authors behind these conversations?
- Demographics of the authors engaging in conversations
- How does his or her Social Media performance compares to other competitors
- Discover your most relevant followers and compare your audience to your competitor’s audience.
Funny facts you could also discover with Tribatics by comparing Obama’s most relevant followers with Romney’s ones: celebrities such as Lady Gaga, Justin Bieber, Shakira and Ashton Kutcher follow the US president, but do not follow Romney. Does this fact indicates how they would vote ?
Past Data Stories:
- Liv Buli of Next Big Sound, the world’s first music data journalist
- Hilary Mason, Chief Data Scientist of bitly
- Rumi Chunara of HealthMap, using social data to identify epidemics
- Sherry Emery of UIC, studying social data and smoking cessation
- Lada Adamic of Michigan on information networks
- Annicka Campbell of SapientNitro on the Digital Love Project