Giulia Piccillo (@giuliapiccillo) 's Twitter Profile
Giulia Piccillo

@giuliapiccillo

Behavioral Macroeconomist

ID: 1064811476781858816

linkhttps://sites.google.com/view/giuliapiccillo calendar_today20-11-2018 09:23:34

30 Tweet

41 Followers

38 Following

Nick Bloom (@i_am_nickbloom) 's Twitter Profile Photo

Since 2015 there have been five major “uncertainty shocks”, driven by rising global political fragmentation and extremism. We discuss how firms can cope by paying for flexibility, contingency planning and paying more attention to politics. hbr.org/2022/09/visual


Since 2015 there have been five major “uncertainty shocks”, driven by rising global political fragmentation and extremism.

We discuss how firms can cope by paying for  flexibility, contingency planning and paying more attention to politics.

hbr.org/2022/09/visual

MORSE Maastricht (@morsemaastricht) 's Twitter Profile Photo

Click on the link to read a blog post on how to improve your resilience in uncertain times! Written by: Giulia Piccillo, School of Business and Economics @UM maastrichtuniversity.nl/research/morse


Poramapa Poonpakdee (@paun_paun) 's Twitter Profile Photo

Call for Papers: Conference on Uncertainty in Empirical Macroeconomics 23-25 October 2023 at Maastricht University organized by MORSE Maastricht Giulia Piccillo and me. Submit here maastrichtuniversity.nl/events/morse-c
 by 1 July 2023 #EconTwitter

Call for Papers: Conference on Uncertainty in Empirical Macroeconomics 23-25 October 2023 at <a href="/MaastrichtU/">Maastricht University</a>  organized by <a href="/MorseMaastricht/">MORSE Maastricht</a> <a href="/GiuliaPiccillo/">Giulia Piccillo</a> and me.

Submit here maastrichtuniversity.nl/events/morse-c
 by 1 July 2023

#EconTwitter
MORSE Maastricht (@morsemaastricht) 's Twitter Profile Photo

Dean Marielle Heijltjes opening the 2023 MORSE annual academic conference. Looking forward to discussing an economics for resilience, sustainability and responsibility with over 90 delegates in Maastricht over the next three days! #MORSEconference

Roberto Cerina (@robertocerina) 's Twitter Profile Photo

đŸ€ŒđŸ€–Excited to announce our revised paper “Fake News Detection via Wisdom of Synthetic & Representative Crowds” - arxiv.org/pdf/2408.03154 - where we (François t'Serstevens Giulia Piccillo) make fake news detection fairer, keep humans in the loop, and enhance its democratic legitimacy 1/8

đŸ€ŒđŸ€–Excited to announce our revised paper “Fake News Detection via Wisdom of Synthetic &amp; Representative Crowds” - arxiv.org/pdf/2408.03154 - where we (<a href="/FtSerst/">François t'Serstevens</a> <a href="/GiuliaPiccillo/">Giulia Piccillo</a>) make fake news detection fairer, keep humans in the loop, and enhance its democratic legitimacy 1/8
Roberto Cerina (@robertocerina) 's Twitter Profile Photo

To address the democratic legitimacy gap in fake news detection, we propose combining the “wisdom of the crowds” with MrP to generate assessments of digital content that represent the views of the entire population, not just a self-selected few 2/8

Roberto Cerina (@robertocerina) 's Twitter Profile Photo

We aggregate the preferences of the crowd in various ways, and show the ONLY negatively correlated veracity metrics we generate are those which rely on partisans: Democrats and Republicans have opposite conceptions of what ``fake news’’ is 3/8

We aggregate the preferences of the crowd in various ways, and show the ONLY negatively correlated veracity metrics we generate are those which rely on partisans: Democrats and Republicans have opposite conceptions of what ``fake news’’ is 3/8
Roberto Cerina (@robertocerina) 's Twitter Profile Photo

Using these metrics we then study ``who shares fake news ?’’ from a sample of pandemic-related Tweets between May and December 2022. The biggest effects we find are, again, related to partisanship ... 4/8

Using these metrics we then study ``who shares fake news ?’’ from a sample of pandemic-related Tweets between May and December 2022. The biggest effects we find are, again, related to partisanship ... 4/8
Roberto Cerina (@robertocerina) 's Twitter Profile Photo

Democrats appear to share less fake news on average, when we use their own definition of fake news, a ``balanced’’ jury’s definition (with an equal amount of democrats and republicans), and a representative jury’s sense ... 5/8

Roberto Cerina (@robertocerina) 's Twitter Profile Photo

However, we find this effect flips when Republican veracity metrics are used, with Republicans being less likely to share fake news according to their own understanding of it ... 6/8

Roberto Cerina (@robertocerina) 's Twitter Profile Photo

Finally, we project these sharing estimates onto the US population to get the state-level % of the ``at-risk’’ people. We find small but statistically meaningful area-level heterogeneity; some evidence that rural / white / conservative states have higher % at-risk population 7/8

Finally, we project these sharing estimates onto the US population to get the state-level % of the ``at-risk’’ people. We find small but statistically meaningful area-level heterogeneity; some evidence that rural / white / conservative states have higher % at-risk population 7/8
Roberto Cerina (@robertocerina) 's Twitter Profile Photo

Our `balanced’ + `representative’ metrics provide democratically legitimate alternatives to existing fake news detection. We hope our findings on who is at risk of sharing fake news will gain acceptance with partisans, as their own opinions are responsible for these assessments.