Measuring social response to different journalistic techniques on Facebook

Abstract Recent studies have shown that online users tend to select information that adheres to their system of beliefs, ignore information that does not, and join groups that share a common narrative. This information environment can elicit tribalism instead of informed debate, especially when issu...

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Main Authors: Ana L. Schmidt, Antonio Peruzzi, Antonio Scala, Matteo Cinelli, Peter Pomerantsev, Anne Applebaum, Sophia Gaston, Nicole Fusi, Zachary Peterson, Giuseppe Severgnini, Andrea F. De Cesco, Davide Casati, Petra Kralj Novak, H. Eugene Stanley, Fabiana Zollo, Walter Quattrociocchi
Format: Article
Language:English
Published: Springer Nature 2020-07-01
Series:Humanities & Social Sciences Communications
Online Access:https://doi.org/10.1057/s41599-020-0507-3
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author Ana L. Schmidt
Antonio Peruzzi
Antonio Scala
Matteo Cinelli
Peter Pomerantsev
Anne Applebaum
Sophia Gaston
Nicole Fusi
Zachary Peterson
Giuseppe Severgnini
Andrea F. De Cesco
Davide Casati
Petra Kralj Novak
H. Eugene Stanley
Fabiana Zollo
Walter Quattrociocchi
author_facet Ana L. Schmidt
Antonio Peruzzi
Antonio Scala
Matteo Cinelli
Peter Pomerantsev
Anne Applebaum
Sophia Gaston
Nicole Fusi
Zachary Peterson
Giuseppe Severgnini
Andrea F. De Cesco
Davide Casati
Petra Kralj Novak
H. Eugene Stanley
Fabiana Zollo
Walter Quattrociocchi
author_sort Ana L. Schmidt
collection DOAJ
description Abstract Recent studies have shown that online users tend to select information that adheres to their system of beliefs, ignore information that does not, and join groups that share a common narrative. This information environment can elicit tribalism instead of informed debate, especially when issues are controversial. Algorithmic solutions, fact-checking initiatives, and many other approaches have shown limitations in dealing with this phenomenon, and heated debate and polarization still play a pivotal role in online social dynamics (e.g. traditional vs. anti-establishment polarization). To understand the effect of different communication strategies able to smooth polarization, in this paper, together with Corriere della Sera, a major Italian news outlet, we measure the social response of users to different types of news framing. We analyse users’ reactions to 113 ad-hoc articles published on the newspaper’s Facebook page and the corresponding news articles on the topic of migration, published from March to December 2018. We examine different journalistic techniques and content types by analyzing their impact on user comments in terms of toxicity, criticism of the newspaper, and stance concerning migration. We find that visual pieces and factual news reports elicit the highest level of trust in the media source, while opinion pieces and editorials are more likely to be criticized. We also notice that data-driven pieces elicit an extremely low level of trust in the news source. Furthermore, coherently with the echo chambers behaviour, we find social conformity strongly affecting the commenting behaviour of users on Facebook.
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spelling doaj.art-ddfff85ef8d84636a5b6a2a35867d3ac2022-12-21T22:40:59ZengSpringer NatureHumanities & Social Sciences Communications2662-99922020-07-01711710.1057/s41599-020-0507-3Measuring social response to different journalistic techniques on FacebookAna L. Schmidt0Antonio Peruzzi1Antonio Scala2Matteo Cinelli3Peter Pomerantsev4Anne Applebaum5Sophia Gaston6Nicole Fusi7Zachary Peterson8Giuseppe Severgnini9Andrea F. De Cesco10Davide Casati11Petra Kralj Novak12H. Eugene Stanley13Fabiana Zollo14Walter Quattrociocchi15Ca’ Foscari UniversityCa’ Foscari UniversityISC-CNRISC-CNRThe London School of EconomicsThe London School of EconomicsThe London School of EconomicsThe London School of EconomicsThe London School of EconomicsCorriere della SeraCorriere della SeraCorriere della SeraJozef Stefan InstituteDepartment of Physics, Boston UniversityCa’ Foscari UniversityCa’ Foscari UniversityAbstract Recent studies have shown that online users tend to select information that adheres to their system of beliefs, ignore information that does not, and join groups that share a common narrative. This information environment can elicit tribalism instead of informed debate, especially when issues are controversial. Algorithmic solutions, fact-checking initiatives, and many other approaches have shown limitations in dealing with this phenomenon, and heated debate and polarization still play a pivotal role in online social dynamics (e.g. traditional vs. anti-establishment polarization). To understand the effect of different communication strategies able to smooth polarization, in this paper, together with Corriere della Sera, a major Italian news outlet, we measure the social response of users to different types of news framing. We analyse users’ reactions to 113 ad-hoc articles published on the newspaper’s Facebook page and the corresponding news articles on the topic of migration, published from March to December 2018. We examine different journalistic techniques and content types by analyzing their impact on user comments in terms of toxicity, criticism of the newspaper, and stance concerning migration. We find that visual pieces and factual news reports elicit the highest level of trust in the media source, while opinion pieces and editorials are more likely to be criticized. We also notice that data-driven pieces elicit an extremely low level of trust in the news source. Furthermore, coherently with the echo chambers behaviour, we find social conformity strongly affecting the commenting behaviour of users on Facebook.https://doi.org/10.1057/s41599-020-0507-3
spellingShingle Ana L. Schmidt
Antonio Peruzzi
Antonio Scala
Matteo Cinelli
Peter Pomerantsev
Anne Applebaum
Sophia Gaston
Nicole Fusi
Zachary Peterson
Giuseppe Severgnini
Andrea F. De Cesco
Davide Casati
Petra Kralj Novak
H. Eugene Stanley
Fabiana Zollo
Walter Quattrociocchi
Measuring social response to different journalistic techniques on Facebook
Humanities & Social Sciences Communications
title Measuring social response to different journalistic techniques on Facebook
title_full Measuring social response to different journalistic techniques on Facebook
title_fullStr Measuring social response to different journalistic techniques on Facebook
title_full_unstemmed Measuring social response to different journalistic techniques on Facebook
title_short Measuring social response to different journalistic techniques on Facebook
title_sort measuring social response to different journalistic techniques on facebook
url https://doi.org/10.1057/s41599-020-0507-3
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