using human filters to make social media data useful

17
Making social media data useful with human filters

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Post on 17-Jan-2015

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(NB. download it to read the notes which explain each slide) This is the PPT of a talk I gave at Starcom Mediavest during Social Media Week London 2013. It relates to the challenges of using Twitter data to mine useful information and how a network intelligence model, i.e. defining a set of relevant people against a specific topic, makes the data you extract more useful. It debunks the notion that social media derived "Big Data" can be useful without extremely complex maths and analysis, but demonstrates how even simple data samples when filtered by a group of people you've decided to track in advance, and keyword filtered to only look at their posts when relevant to a specific topic, can be extremely insightful. It relates to news, public opinion and using a rich data source without getting lead astray by faulty maths or overblown statistical assumptions.

TRANSCRIPT

Page 1: Using human filters to make social media data useful

Making social media data useful with human filters

Page 2: Using human filters to make social media data useful

Hello I’m Andrew Walker from @Tweetminster

www.electionista.comwww.tweetminster.co.uk

Page 3: Using human filters to make social media data useful

Social media is a rich source of data – but

it’s useless until you define basic human

filters to explain it

Page 4: Using human filters to make social media data useful

See, I’m the fire hoseAnd everybody knowsThat I’ll knock you downAnd kick that ass

Page 5: Using human filters to make social media data useful

Without human filters, social media data is thermal data, i.e. a theoretical average

Temp = 10°

Page 6: Using human filters to make social media data useful

That means doing anything with that data is more complex than that… because the relationships the data describes are more complex than that:

Temp =

Page 7: Using human filters to make social media data useful

Within the firehose we look

for influencers, but influence is a

self-referencing paradox.

It’s numberspam

UKIP Influences mainstream politics…

… but lacks political influence

Page 8: Using human filters to make social media data useful

Do we mean fame or influence?Depends on the context….

And who really cares anyway?

Page 9: Using human filters to make social media data useful

It’s Heisenberg’s uncertainty principle…

…there’s a fundamental limit to the precision of understanding complimentary variables.

(Sort of)

Page 10: Using human filters to make social media data useful

…until you apply some

simple human filters to your

sample and intent

Page 11: Using human filters to make social media data useful

Human filters let the data ask and answer the questions for you…

Q: what was the biggest event of the German election campaign?

Page 12: Using human filters to make social media data useful

Human filters show patterns than enable strategic planning…

Q: How does the electoral news cycle differ from the daily political news cycle?

Page 13: Using human filters to make social media data useful

Human filters explain local social factors…

Q: What’s the temperature of politics in Australia vs. Germany

Page 14: Using human filters to make social media data useful

Human filters define different categories of the same thing…

Q: Is politics all the same? What kind of election is this?

Page 15: Using human filters to make social media data useful

Official Party 13%

Gov. Depts 14%

News Media 16%

News Media Blogs 16%

Blogs 19%

Campaign / NGO 22%

Official PartyGov. DeptsNews MediaNews Media BlogsBlogsCampaign / NGO

Human filters explain the nature of influence in context e.g. the quality vs. quantity paradox

Number of shares per article by source = quality / influence

Official Party 4%

Gov. Depts 13%

News Media 39%

News Media Blogs 13%

Blogs 23%

Campaign / NGO 9%

Number of mentions per source = Variety & volume, not influence

Page 16: Using human filters to make social media data useful

but it works

It ain’t Bieber

Page 17: Using human filters to make social media data useful

Thanks

The most important part of social media is the social

bit, so if you want to chat…

I’m @killdozer