Information, news and data: operating instructions

Tangible morning with Carlo Canepa from Pagella Politica e Donata Columbro from Dataninja

Organised with

Pagella Politica

pagellapolitica.it

Dataninja

dataninja.it

Video

This event was streamed live. The video is public and you can watch it on our Facebook page video section.

When

Tuesday, June 23rd 2020
from 9:30 a.m. to 6 p.m.

Where

Santarcangelo di Romagna (RN)
@ Tangible
In Live streaming

Would you like to attend this event? Email us!

Topics

Fake news
Debunking
Post-truth era
Data journalism
Data activism

“We send the EU £350m a week: let’s fund our NHS instead”: do you remember? This is one of most famous Leave Campaign slogan that contributed to Britain's Brexit.

Fake, incorrect or misleading news has been a problem since information exists. In the last five years, these messages have found room for spreading and engaging people, thanks to an accurate target profiling and specific audiences.
In this 2019 Ted Talk, Carole Cadwalladr has investigated about how fake news, like the anti-EU slogan, can change public opinion and world socio-political systems.
Despite this, there isn't any guide line about fact-checking, news tracking and source checking. Actually, we are living an endless controversy about these themes, countless trials, data-leaks and some weak answer like Jack Dorsey announcement in October 3 2019, when he said that Twitter will ban targeted political ads.

Our Tangible Slack channell is full of links and threads about this topic. So we invited Carlo Canepa from Pagella Politica and Donata Columbro from Dataninja, to spend a day with us and learn more about the world of news and how to support data with informations. Carlo and Donata will help us to focus the topic at the present day, discovering useful tools and methods. We will work on a sample mockup topic to understand the design opportunities we meet while dealing with informations, news and data.

Speakers

Carlo Canepa Carlo Canepa (@carlo_canepa) works as a fact-checker for Pagella Politica (@pagellapolitica), the only Italian site committed to politicians' statement verification. He is co-author of the popular science book “La scienza dei goal”, published by Hoepli in 2016, and of the investigative documentary “The Choice: The Risks of Web Democracy”, produced by Unozerozerouno in 2018. He graduated in Philosophical Sciences from the Vita-Salute San Raffaele University, with a postgraduate specialization in Philosophy of Science and Behavioural Economics.

Donata Columbro Donata Columbro (@dontyna) is in charge of the project Dataninja School (@dataninjait), Dataninja.it’s online training platform to spread culture and awareness about data. Journalist and content strategist, since 2010 she’s been helping non-profit organisations to create effective communication strategies to involve and grow communities around an idea or a product.

Schedule

Morning time with Carlo from Pagella Politica

09:30 - 11:30 am

Module 1: Fact-checking and nowadays journalism – Introduction

Are we living in the fake news and post-truth era?
What's fact-checking? How was born, why is necessary and how people are using it all over the world.

Module 2: The toolbox - Practical exercises

How to check if a news is true or not?
How understand if a picture or video has been edited or not?
Which are the most reliable sources and the useful fact-checker tools?

Module 3: Fact-checking and experience design – a constructive comparison

How fact-checking can support digital design and experience design?
How experience design can support journalism in the post-truth era?

Afternoon time with Donata frome Dataninja

02:15 - 05:45 am

Impact Storytelling with data

Inspiration from the world: all the things we can tell with data, from activism to marketing
Open data, big data, thick data…? Start from scratch: terms you should know when we talk about data
What data visualization and data-driven products stands for? How to create charts that works
Recognize news and charts distorted with data, what questions you have to ask yourself when you read a number
Problems when working with data: win over the data bias