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Alice Andreuzzi, Catchy Srl - "Catchy: Social Data Intelligence"

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Alice Andreuzzi, Catchy Srl - "Catchy: Social Data Intelligence"

  1. 1. Catchy: Social Data Intelligence Dipartimento di Ingegneria Università Roma Tre Alice Andreuzzi Roma • 18 maggio 2018
  2. 2. 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
  3. 3. Catchy - Compass www.compass.catchy.ai
  4. 4. 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.
  5. 5. What we do
  6. 6. 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
  7. 7. 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
  8. 8. Web and Social Network Data Social Data Intelligence
  9. 9. 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
  10. 10. 1. Brand Reputation Ricerca per account Twitter, Facebook, Instagram, Youtube, Flicker Ricerca per keyword e hashtag #emiliaromagna, Emilia Romagna, #romagna Social Data Intelligence: why
  11. 11. 1. UX Research UX Research
  12. 12. 3. Research and Data visualization
  13. 13. 4. Forecast
  14. 14. La Data Intelligence: Perché? 7. Crisis Management
  15. 15. 8. National Branding What interests the most the investors?
  16. 16. Electoral forecasting
  17. 17. 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
  18. 18. «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
  19. 19. 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
  20. 20. Political Election 2018
  21. 21. Political Elections 2018
  22. 22. Political Elections 2018
  23. 23. THANKS.

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