class: center, middle, title-slide .title[ #
WhatsApp increases users’ exposure to false rumors but has limited effects on political attitudes:
Evidence from a deactivation experiment.
] .author[ ###
Tiago Ventura, Rajeshwari Majumdar, Jonathan Nagler, and Joshua A. Tucker
] .date[ ###
Social Media & Democracy Conference
03/10/2022
] --- layout: true <div class="my-footer"><span>Social Media & Democracy, 09/03/2023</span></div> --- class: middle ## Social Media: The misinformation turn --- ## An Emerging Field .center[ <img src="output/research_misinformation.png" width="100%" /> ] --- class:middle ## What we know: - Externally-valid causal claims are hard, often small in size, and context-dependent. - Most of the evidence come from a few countries (advanced democracies). - And from a few platforms (mostly Twitter, and to some extent Facebook). --- class:middle ## For years, WhatsApp has been the main social media applicattion in many Global South democracies. --- class:middle .panelset.sideways[ .panel[.panel-name[WhatsApp] #### .fade[WhatsApp is a worldwide popular end-to-end encrypted messaging app allowing both direct and ingroup communications with close to 2 billion around the world] ] .panel[.panel-name[Usage in Brazil] - .red[66% of the Brazilian eligible voters] has a social media account, and .red[65% have an WhatsApp account] ([Datafolha 2018](http://media.folha.uol.com.br/datafolha/2018/10/27/44cc2204230d2fd45e18b039ee8c07a6.pdf)) – 150 million people in 2022. - Most used app for all purposes: .red[talk to family & friends, do business & pay bills, consume news, talk politics, among others] ([Reuters Institute, 2021](https://reutersinstitute.politics.ox.ac.uk/digital-news-report/2021)). - Used by .red[48% of population to read news], despite having no “news feed” ([Reuters Institute, 2021](https://reutersinstitute.politics.ox.ac.uk/digital-news-report/2021)) - Across the world, .red[Brazilians are the most concerned about misinformation]. And among the most active social media users - And .red[WhatsApp is the main social media application] where users report to see more misinformation. ] ] --- class: middle .center[ <img src="nyt.png" width="2509" /> ] --- class: middle, center, inverse ### Even though WhatsApp has received a huge attention from the media and policy makers, no study has so far identified causal effects of WhatsApp on political outcomes. --- class:middle, inverse, center ## Field Experiment: An WhatsApp Multi-Media Deactivation during the Brazilian Election --- class:middle ## Motivation Deactivation experiments have been recently used to causally identify the effects of social media on users' behavior and attitudes .red[(Asimovic et al 2021 and Alcott et al 2020)]. -- #### Deactivating WhatsApp users is **theoretically and empirically unfeasible**. - Costs of deactivating on human subjects are too high. - Findings from subjects enrolled in a complete deactivation were unlikely to be feasible (issues on external validity) --- class: middle ## Our Design -- <svg viewBox="0 0 512 512" style="height:1em;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M504 256C504 119 393 8 256 8S8 119 8 256s111 248 248 248 248-111 248-248zm-448 0c0-110.5 89.5-200 200-200s200 89.5 200 200-89.5 200-200 200S56 366.5 56 256zm72 20v-40c0-6.6 5.4-12 12-12h116v-67c0-10.7 12.9-16 20.5-8.5l99 99c4.7 4.7 4.7 12.3 0 17l-99 99c-7.6 7.6-20.5 2.2-20.5-8.5v-67H140c-6.6 0-12-5.4-12-12z"></path></svg> **Our Solution:** Cut channels through which users' are exposed to misinformation and polarizing content .red[(Machado et al., 2019; Resende et al., 2019; Garimella and Tyson, 2018; Garimella and Eckles, 2020; Batista Pereira et al., ND).] -- <svg viewBox="0 0 512 512" style="height:1em;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M504 256C504 119 393 8 256 8S8 119 8 256s111 248 248 248 248-111 248-248zm-448 0c0-110.5 89.5-200 200-200s200 89.5 200 200-89.5 200-200 200S56 366.5 56 256zm72 20v-40c0-6.6 5.4-12 12-12h116v-67c0-10.7 12.9-16 20.5-8.5l99 99c4.7 4.7 4.7 12.3 0 17l-99 99c-7.6 7.6-20.5 2.2-20.5-8.5v-67H140c-6.6 0-12-5.4-12-12z"></path></svg> **Experiment:** Offer respondents a monetary incentive to - Disable their automatic download of media on WhatsApp - Do not purposefully click and watch any media on WhatsApp -- <svg viewBox="0 0 512 512" style="height:1em;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M504 256C504 119 393 8 256 8S8 119 8 256s111 248 248 248 248-111 248-248zm-448 0c0-110.5 89.5-200 200-200s200 89.5 200 200-89.5 200-200 200S56 366.5 56 256zm72 20v-40c0-6.6 5.4-12 12-12h116v-67c0-10.7 12.9-16 20.5-8.5l99 99c4.7 4.7 4.7 12.3 0 17l-99 99c-7.6 7.6-20.5 2.2-20.5-8.5v-67H140c-6.6 0-12-5.4-12-12z"></path></svg> **Treatment Period:** Three weeks: - **Start:** Three weeks before general election in Brazil - **End:** three days after the voting day --- ## Overview of the Experiment .center[ <img src="output/research_design.png" width="120%" /> ] --- .center[ <img src="output/recruitment.png" width="55%" /> ] --- .center[ <img src="output/filters.png" width="70%" /> ] --- .center[ <img src="output/deactivation.png" width="55%" /> ] --- <br> .center[ <img src="output/iphone_deact.jpeg" width="30%" /> ] --- .center[ <img src="output/compliance.png" width="55%" /> ] --- <br> .center[ <img src="output/iphone_compliance.jpeg" width="30%" /> ] --- ## Post-Treatment .center[ <img src="output/posttreatment.png" width="70%" /> ] --- class:middle ## Hypotheses H1: Deactivated users will report lower levels of previous exposure to FALSE rumors. H2a: Deactivated will display a higher ability to accurately identify FALSE rumors. H2b Deactivated users will display lower levels of mainstream news knowledge. H3: Deactivated will display lower levels of outgroup political polarization. H4: Deactivated will display higher levels of the aggregated index of subjective well-being. --- class: center, middle, inverse # Results --- ### Effects on WhatsApp usage .center[ <img src="output/models_compliance.png" width="90%" /> ] --- ### Effects on Exposure to Misinformation Rumors .center[ <img src="output/exposure_h1.png" width="90%" /> ] --- ### False > True reduction in exposure .center[ <img src="output/difference_true_false_exposure.png" width="90%" /> ] --- ### Effects on Belief Accuracy .center[ <img src="output/belief_accuracy_h2.png" width="90%" /> ] --- ### Effects on Polarization & Subjective Well-Being .center[ <img src="output/pol_sw_index.png" width="90%" /> ] --- class: middle ## Discussion -- <svg viewBox="0 0 512 512" style="height:1em;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M504 256C504 119 393 8 256 8S8 119 8 256s111 248 248 248 248-111 248-248zm-448 0c0-110.5 89.5-200 200-200s200 89.5 200 200-89.5 200-200 200S56 366.5 56 256zm72 20v-40c0-6.6 5.4-12 12-12h116v-67c0-10.7 12.9-16 20.5-8.5l99 99c4.7 4.7 4.7 12.3 0 17l-99 99c-7.6 7.6-20.5 2.2-20.5-8.5v-67H140c-6.6 0-12-5.4-12-12z"></path></svg> **WhatsApp is an important vector through which voters receive misinformation in Brazil at .red[a higher rate] compared to news.** -- <svg viewBox="0 0 512 512" style="height:1em;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M504 256C504 119 393 8 256 8S8 119 8 256s111 248 248 248 248-111 248-248zm-448 0c0-110.5 89.5-200 200-200s200 89.5 200 200-89.5 200-200 200S56 366.5 56 256zm72 20v-40c0-6.6 5.4-12 12-12h116v-67c0-10.7 12.9-16 20.5-8.5l99 99c4.7 4.7 4.7 12.3 0 17l-99 99c-7.6 7.6-20.5 2.2-20.5-8.5v-67H140c-6.6 0-12-5.4-12-12z"></path></svg> .**The null results provide support for a .red[minimalist view of the causal effects] of WhatsApp on political attitudes.** -- <svg viewBox="0 0 512 512" style="height:1em;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M504 256C504 119 393 8 256 8S8 119 8 256s111 248 248 248 248-111 248-248zm-448 0c0-110.5 89.5-200 200-200s200 89.5 200 200-89.5 200-200 200S56 366.5 56 256zm72 20v-40c0-6.6 5.4-12 12-12h116v-67c0-10.7 12.9-16 20.5-8.5l99 99c4.7 4.7 4.7 12.3 0 17l-99 99c-7.6 7.6-20.5 2.2-20.5-8.5v-67H140c-6.6 0-12-5.4-12-12z"></path></svg> **Exposure to misinformation .red[does not] mechanically affect attitudes** -- --- class:middle, inverse # BUT... --- class:middle ### It would be a mistake to conclude that WhatsApp plays no role in politics. -- - Scope conditions: focus on direct effects of WhatsApp. -- - Do not rule out the use of WhatsApp as a mobilization and organizational tool by malicious actors. -- - Largers effect might exist exactly in hard to reach populations. -- - Small effect size vs Power -- - Electoral context + Motivated Reasoning --- class: middle ## Next steps. -- ### Replication, Replication, Replication -- **Multi-Country Study** - Contextual variation - Partial vs full deactivation - In and out of election periods -- --- --- class:middle, center ## Thank you! --- class: middle, center, inverse ## Additional Analyses --- ### Exposure and Partisanship .center[ <img src="output/sif_exposure_bothparties_counter_pro.png" width="90%" /> ] --- ### Belief Accuracy Conditional on WhatsApp usage for Politics .center[ <img src="output/sif_het_use_whatsapp_fac.png" width="90%" /> ] --- ### Polarization Outcomes .center[ <img src="output/pol_outcomes.png" width="90%" /> ] --- class:middle ## Examples of Misinformation Outcomes ### False Item: _Only complete votes are counted by the electoral justice. If the voter only votes for the President, and votes blank for all the other races, the vote is considered a partial vote, and will be annulled_ ### True Item: _After consecutive reductions, the current oil price in Brazil is below the global average value_