Measuring social response to different journalistic techniques on Facebook

Ana L Schmidt,Walter Quattrociocchi,Andrea F De Cesco,Davide Casati,Antonio Scala,Zachary Peterson,Anne Applebaum,Matteo Cinelli,Fabiana Zollo,H Eugene Stanley,Nicole Fusi,Sophia Gaston,Giuseppe Severgnini,Peter Pomerantsev,Antonio Peruzzi,Petra Kralj Novak

doi:10.1057/s41599-020-0507-3

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.

Highlights

Social media such as Facebook and Twitter provide direct access to an unprecedented amount of content
Algorithms mediate and facilitate content promotion, and information spreading, by taking into account the preferences and attitudes of users. This paradigm shift profoundly impacts the construction of social perceptions and the framing of narratives, especially when issues are controversial, and it influences policy-making, political communication, and the evolution of public debate
We focus on articles—written by using different content type (CT) and journalistic technique (JT)- dealing with the Italian migration issue

Summary

Introduction

Social media such as Facebook and Twitter provide direct access to an unprecedented amount of content. The direct path from content producers to consumers has changed the way users get information, debate, and develop their opinions (Del Vicario et al, 2016). Algorithms mediate and facilitate content promotion, and information spreading, by taking into account the preferences and attitudes of users. This paradigm shift profoundly impacts the construction of social perceptions and the framing of narratives, especially when issues are controversial, and it influences policy-making, political communication, and the evolution of public debate. Social media platforms are mainly intended for ludic rather than for informative purposes and news consumption on social media may be incidental rather than deliberate. The most liked image on Instagram is an egg (54 million likes)

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