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π Digital π Society
Social media: a new paradigm for public opinion

Yellow Vests, #MeToo: how social media catalyse protests

with Germain Gauthier, Assistant Professor at Bocconi
On June 1st, 2022 |
4 min reading time
Germain Gauthier
Germain Gauthier
Assistant Professor at Bocconi
Key takeaways
  • With social networks, it is easier than before to pick up on protest signals as well as for groups to organise themselves, facilitating the demonstration.
  • The Yellow Vests (“Gilets Jaunes”, in French) are a perfect example of online and offline mobilisation with nearly 4 million members in Facebook groups and over 300,000 people present on the first day of mobilisation in the streets.
  • As a result of the MeToo movement, there has been a significant rise in sex crime complaints in the US – around +20% between 2017 and 2018 for New York City, for example.
  • Even if MeToo did not trigger street protests, the stock market crashes and bankruptcy of Harvey Weinstein's company are examples of its effect on the ‘real world’.

With the advent of the digit­al age, protest move­ments are now being expressed and organ­ised dif­fer­ently. In the past, they were, for example, led by trade uni­ons or polit­ic­al parties that struggled to estab­lish demon­stra­tions with a high level of mobil­isa­tion, due to a lack of coordin­a­tion. And if they did man­age to mobil­ise people, it had to be through inter­me­di­ar­ies due to these coordin­a­tion problems.

Today, with social net­works, things are dif­fer­ent: it is much sim­pler to pick up on protest sig­nals and to organ­ise, mak­ing it easi­er to build move­ments around these aggreg­ates of anger. Ger­main Gau­th­i­er, a doc­tor­al stu­dent in eco­nom­ics, works on the impact of social net­works on the form­a­tion of this type of move­ment. He ana­lyses two recent protest move­ments: the “Me Too” move­ment and the “Yel­low Vests” protests in France.

The Yellow Vests and Facebook

The Yel­low Vests – a sporad­ic move­ment born out of the protest around the rise in fuel prices in France which began in 2018 – is one of the typ­ic­al examples of the new protests and the digit­al organ­isa­tion that has sprung up around them. No lead­er, no polit­ic­al parties, just a pop­u­la­tion at the end of its teth­er in a highly com­plex eco­nom­ic situ­ation, mobil­ising en masse via social net­works12. This move­ment gave rise to demands that went bey­ond the price of pet­rol and exten­ded to the re-estab­lish­ment of the wealth tax, while remain­ing some­what con­fused due to the lack of struc­ture of the movement.

Indeed, the cre­ation of numer­ous groups on Face­book, still act­ive today, is one of the organ­isa­tion­al ele­ments of the move­ment. To bet­ter under­stand it, Ger­main Gau­th­i­er and his co-authors mapped the online and off­line mobil­isa­tions of the Yel­low Vests. For online mobil­isa­tion, they lis­ted more than 3,000 geo­located groups on Face­book with nearly 4 mil­lion mem­bers in total; as well as mil­lions of mes­sages pos­ted on hun­dreds of pages related to the Yel­low Vests. For off­line mobil­isa­tion, the research­ers have a map of inten­tions to demon­strate on the even­ing of the first rally, on 17th Novem­ber 2018, which brings togeth­er nearly 300,000 protesters.

The cor­rel­a­tion between attend­ance in Face­book groups and the gen­er­al mobil­isa­tion of the Yel­low Vests move­ment is very real. Moreover, unlike move­ments that could not bene­fit from the impetus of social net­works, off­line mobil­isa­tion per­sists even after the massive mobil­isa­tion in the streets (see graph below).

Evol­u­tion of the Yel­low Vests’ online and off­line mobil­isa­tions3.

This graph shows the rela­tion­ship between off­line and online mobil­isa­tion, but also the move­ment’s abil­ity to endure over time. It can be seen that the curve relat­ing to com­ments on Face­book pages only decreases slightly, unlike the mobilisation.

Ger­main Gau­th­i­er explains, “the spa­tial cor­rel­a­tion between Face­book groups and organ­ised phys­ic­al block­ades is largely pos­it­ive and explains the off­line mobil­isa­tion more than the admin­is­trat­ive socio-demo­graph­ic data of the regions. On the eve of 17th Novem­ber, there were nearly 918 Face­book groups with more than 100 mem­bers – that’s already more than a mil­lion poten­tial pro­test­ers. If this first online mobil­isa­tion was impress­ive, the second was even more so. In the after­math of 17th Novem­ber, a new wave of Face­book groups was cre­ated, feed­ing the move­ment and keep­ing the protest alive on social net­works4.”

This study there­fore shows that the Yel­low Vests move­ment has ten­ded to mul­tiply in an innov­at­ive digit­al era, defy­ing codes and mobil­ising a large num­ber of people. The ques­tion which remains unanswered is that of pre­dic­tion. Will it be pos­sible, in the near future, to pre­dict protest move­ments by simply ana­lys­ing “big data”?

Ger­main Gau­th­i­er does not think so, but he warns, “our abil­ity to pre­dict the appear­ance of social move­ments is still poor. How­ever, many dic­tat­ori­al regimes around the world have under­stood the import­ance of social net­works (and more gen­er­ally of digit­al traces) for mon­it­or­ing pop­u­la­tions. From that point of view, the risk is very real.

Me Too, a new generation of protest

Ger­main Gau­th­i­er also stud­ied a dif­fer­ent type of protest move­ment in the MeT­oo phe­nomen­on, which encour­ages women to speak out and express them­selves, from social net­works, on sexu­al viol­ence. This move­ment gained momentum at the time of the Wein­stein affair in 2017.

Whilst Me Too does not cre­ate large demon­stra­tions in the streets, it offers an unpre­ced­en­ted level of mobil­isa­tion on social net­works while impact­ing real life through free speech and dis­rupt­ing social codes. Gau­th­i­er com­pares the MeT­oo move­ment to May 68 (in France), explain­ing that, “this move­ment is already shak­ing up soci­et­al codes oppress­ing women and aims to pro­foundly change soci­et­al norms in the long term.” The pres­sure of the move­ment is then applied to many insti­tu­tions. As such, the mobil­isa­tion on social net­works means that, even without large protests in the real world like the Yel­low Vest, the glob­al move­ment that is MeT­oo is for­cing politi­cians to look at social net­works and become aware of their impact.

Gau­th­i­er provides an accur­ate meas­ure of this impact by using a num­ber of vari­ables to high­light the poten­tial cor­rel­a­tion between the MeT­oo move­ment on social net­works and sex crime com­plaints. By com­par­ing sex crime com­plaints before and after the appear­ance of the “#Met­oo” hasht­ag, which went vir­al on Twit­ter in Octo­ber 2017, he observes a sig­ni­fic­ant increase in sex crime com­plaints in the United States (around +20% between 2017 and 2018 for New York City, for example).

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But the MeT­oo move­ment seems to be the cul­min­a­tion of an anger that has been res­on­at­ing for years on social net­works. Since 2010, the num­ber of ref­er­ences to sexu­al viol­ence on social net­works has been stead­ily increas­ing. In his report on the sub­ject, he writes, “empir­ic­al find­ings indic­ate sub­stan­tial pre-trends before the advent of the MeT­oo move­ment. I estim­ate that the share of vic­tims who even­tu­ally report a sex crime to the police doubled between 2009 and 2017, from 30% to 60%. In terms of the incid­ence of sex crimes, my estim­ates sug­gest a 50% decrease in New York City and a 20% decrease in Los Angeles. »

There are sev­er­al not­able examples to show the eco­nom­ic impact of the move­ment: the 16% drop in the Wynn Resort Group after accus­a­tions of sexu­al har­ass­ment against the CEO, the 21% drop in the Guess Group, again for the same reas­ons. Not to men­tion the bank­ruptcy of the stu­dio foun­ded by Har­vey Weinstein.

All of these examples show us that even without sig­ni­fic­ant off­line mobil­isa­tion, online mobil­isa­tion can have many impacts on com­pan­ies and policies. Social net­works are now at the heart of soci­ety and the line between online and off­line has nev­er been so blurred.

 “We still can­’t pre­dict the next big moves in social net­works. But, thanks to the data we can get from them, we are able to look very closely at how move­ments devel­op,” he con­cludes. “Nev­er­the­less, it is dif­fi­cult to know today wheth­er the way move­ments are pro­gress­ing is due to social net­works or not. For example, if we had access to this kind of data dur­ing the Mar­garet Thatch­er era in the UK, we might see the same pat­terns…

Interview by Fabien Roches
1https://www.cairn.info/revue-economique-2020–1‑page-109.htm
2The typ­ic­al pro­file of the yel­low vest: « The yel­low vests bring togeth­er people who are extremely dis­sat­is­fied with their lives, regard­less of wheth­er they agree on the means to address this. They are mostly former voters of Mar­ine Le Pen, Jean-Luc Mélen­chon or absten­tion­ists (in that order). They share a more rad­ic­al cri­tique of the state and gov­ern­ment than either of these elect­or­ates, while hold­ing more middle-of-the-road pos­i­tions on mor­al issues such as tol­er­ance of minor­it­ies. » https://​www​.cepremap​.fr/​2​0​1​9​/​0​2​/​n​o​t​e​-​d​e​-​l​o​b​s​e​r​v​a​t​o​i​r​e​-​d​u​-​b​i​e​n​-​e​t​r​e​-​n​2​0​1​9​-​0​3​-​q​u​i​-​s​o​n​t​-​l​e​s​-​g​i​l​e​t​s​-​j​a​u​n​e​s​-​e​t​-​l​e​u​r​s​-​s​o​u​t​iens/
3Pierre C. Boy­er, Thomas Delemotte, Ger­main Gau­th­i­er, Vin­cent Rol­let et Ben­oît Schmutz, « Les déter­min­ants de la mobil­isa­tion des “gilets jaunes” », Revue économique,‎ 26 juil­let 2019
4Jean-Yves Dormagen & Geof­frey Pion, « “Gilets jaunes”, com­bi­en de divi­sions ? », sur Le Monde dip­lo­matique, 1er fév­ri­er 2021

Contributors

Germain Gauthier

Germain Gauthier

Assistant Professor at Bocconi

Germain Gauthier is a professor at Bocconi University. He obtained a doctorate in economics from École Polytechnique in 2023. His research lies at the intersection of public economics, political economy and applied econometrics. In particular, he has studied the determinants and consequences of various social movements, such as the #MeToo movement.

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