Catchy: Social Data Intelligence (Data Journalism, May 18th 2018)

2. Catchy: Social Data Intelligence
Dipartimento di Ingegneria
Università Roma Tre
Alice Andreuzzi
Roma • 18 maggio 2018

3. Catchy is innovative startup, winner of the Seal of Excellence of the European Commission and the Google DNI. Our mission is to
create narratives and collections on the digital century starting from the analysis of big data with artificial intelligence algorithms.
We deal with Data driven Journalism and contrasting fake news, studies on reputation and new media.
Our peculiarity is the multifaceted and varied characterization of the team.
Our skills
•Data Strategy
•Data Analysis
•Data Research & Technology
•Data Visualization
• Data Communication
The reporter Gianni Riotta is CEO and co-founder of the Startup.
Catchy - Deep Into Data
www.catchy.buzz
@CatchyBigData
Catchy.buzz
info@catchy.buzzwww.catchy.ai

4. Catchy - Compass www.compass.catchy.ai

5. Catchy - Goals & Events
Compass won the Seal of Excellence from the European Commission and the Google Digital News Initiative.
Public Events:
Future Media Lab. - Bruxelles - Maggio 2017, Global AI Hackathon (Roma - June 2017), Digital Transformation Academy - FIEG
/ Google / Talent Innovation School (Roma - October 2017), Climathon - hackathon (Cesena - October 2017), World Economic
Forum in Davos.

6. What we do

7. Data Science is an interdisciplinary field that regards the
process to extract knowledge from data that can be in
various forms and come from different sources: web,
social networks, IoT devices, databases of different types.
Data Science is closely linked to the fields of data analysis
and data mining, statistics, predictive analysis and
machine learning.
Data Science

8. Data analysis, also known as analysis of data or data analytics, is a process of inspecting, cleaning, transforming, and modeling
data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making. Data analysis has
multiple facets and approaches, encompassing diverse techniques under a variety of names, in different business, science, and
social science domains.
“The great number of information that we are able to collect every day can constitute damage and not an advantage for the human
being if they are not able to distinguish the signal from what constitutes the background noise”.
Nate Silver ( Statistician, founder of FiveThirtyEight), The Signal and Noise
Data
Scientist
Data
Analyst
Human
Interpretation
Data Analysis: interpretation & storytelling

9. Web and Social
Network Data
Social Data Intelligence

10. INSIDER
On the web, and in particular, on social networks, huge amounts of different data are produced: web pages, blogs, e-mail, posts,
tweets. People write their impressions and opinions online on events, hot topics and purchased products.
These texts are therefore a kind of online public opinion that reflects people's feelings.
Social Data Intelligence means collecting, analysing and interpreting these conversations to know what people say and think.
Analysing informations from social media

11. 1. Brand
Reputation
Ricerca per account Twitter,
Facebook, Instagram,
Youtube, Flicker
Ricerca per keyword
e hashtag
#emiliaromagna, Emilia
Romagna, #romagna
Social Data Intelligence: why

12. 1. UX
Research
UX Research

13. 3. Research
and Data
visualization

14. 4. Forecast

15. La Data Intelligence: Perché? 7. Crisis
Management

16. 8. National
Branding
What interests the most
the investors?

17. Electoral forecasting

18. Electoral polls are the traditional method for electoral prediction.
George Gallup introduced "the election survey as an instrument of democratic reform" for the first time in the 1936 Presidential
elections.
Opinion polls
- Representative sample
- Expensive and time consuming
- Citizens express their opinion on
specific request.
"Those who take part in an election poll do not publicly express their real opinion if, for example, they do not vote for a
candidate simply because they are black (e.g., Barack Obama) or Mormon (e.g., Mitt Romney)"
“More Tweets, More Votes: Social Media as a Quantitative Indicator of Political Behaviour”
Twitter Analytics
- Non-representative but wider sample
- Economically sustainable and immediate
- Citizens express their opinion on the web
on a voluntary basis
Electoral forecasting

19. «Unlike Facebook, the biggest social platform, almost all the activity on Twitter, except for direct messages and private
profiles, is publicly visible on the Internet»
Zeynep Tufekci
Twitter
- Privileged social media for
politics
- Many Twitter influencers are
politicians and / or politically
interested journalists
- Twitter provides broad access to
its data through API poprires.
Picking the Social Media

20. Quantitative Analysis
The analysis that goes for the most is quantitative analysis: the analysis that considers every mention or hashtag related to a
candidate or a political party as an expression of the intention to vote for that candidate or party.
Catchy uses a mixed methodology:
- Sentiment analysis
- Complex network analysis
- Geo intelligence
- Clustering analysis

21. Political Election 2018

28. Political Elections 2018

29. Political Elections 2018

30. THANKS.