When Protest Enters Public Space

The Effects of Direct Exposure on Bystanders

with Tim Wappenhans, Ferdinand Geißler, Felix Hartmann, Daniel Bischof, Johannes Giesecke, Heike Klüver, Macartan Humphreys, and Lukas F. Stoetzer
Violeta HaasAssistant Professor in Political Science
Trinity College Dublin

Typical Perspective

A large demonstration filling a city boulevard

“the spectators are an integral part of the situation, for, as likely as not, the audience determines the outcome of the fight.”

Schattschneider 1960

Bystander Perspective

A man standing in front of a crowd at a public demonstration

Protest affects political outcomes

Protest events move:

  • Public opinion (Mazumder 2018; Wasow 2020; Reny & Newman 2021)
  • Voting (Madestam et al. 2013; Ellinas & Lamprianou 2024; Fabel et al. 2025; Valentim 2023)
  • Media agendas and elite communication (Wasow 2020; Barrie, Fleming & Rowan 2024)
  • Policy and legislative behavior (McAdam & Su 2002; Soule & Olzak 2004; Biggs & Andrews 2015; Enos et al. 2019)

Protest Effects as Bundles

But the observed effect can arrive through several channels:

  1. Encountering protesters in the street
  2. Media coverage and elite discourse (Wasow 2020; Fabel et al. 2025)
  3. Diffusion through social networks (Fabel et al. 2025)
  4. Later movement activity (Madestam et al. 2013)

→ Observational designs mix encounters with everything protests set in motion.

Participants and mediated exposure

Studies isolating effects more cleanly tend to do one of two things:

  • Focus on a different actor altogether: participants (Cantoni et al. 2019; Bursztyn et al. 2021)
  • Use mediated exposure: images, videos, or vignettes (Feinberg, Willer & Kovacheff 2020; Manekin & Mitts 2022; Shuman et al. 2021, 2024)

We know considerably more about how citizens respond to representations of collective action than about what happens when collective action enters their immediate physical and social space.

→ Multisensory cues produce strong affective responses (Schirmer & Adolphs 2017)

The ideal design

Held fixed
Same political and
media environment
Similar citizens
Randomize the encounter
Control
no protest encounter
vs
Treatment
incidental protest encounter
Measure
Immediate effects
Longer-term (mediated) effects

→ A preregistered field experiment that randomizes the encounter itself.

Case: Friday’s for Future

Greta Thunberg sitting with a School Strike for Climate sign in front of the Swedish parliament

Youth-led climate movement since 2018; recurring strikes; large, peaceful, highly visible

Experimental Setup

  • Three-wave field experiment (N = 262; September ’23 + March ’24 + September ’24)
  • Pre-, Post- and Follow-up surveys
  • Screening: unexposed, not planning to join, at least 16, fluent in German
  • 50€ Compensation + 10€ for follow-up
  • Cover task: count park benches, for a supposed study of street accessibility
  • Placebo items on environment, immigration, and redistribution

Flow diagram of recruitment, random assignment, post-treatment, and follow-up

Manipulating incidental encounters

Map of treatment and control routes on 15 September 2023
Protesters with banners at the Brandenburg Gate A speaker addressing the rally
Route and Rally at the Brandenburg Gate showing salient sensory cues during W1 (15 September 2023)
Pedestrians were randomly assigned to walk one of two routes (≈ 2.6 km):
  • treatment group observed and/or heard protest activity
  • control group did not see or hear any protest activity

Randomization App

People rarely walk the streets alone!

Sequential block randomization by group size (Moore and Moore 2017), assigned in real time.

Assignment screen used to randomize a group Admin screen showing assignments in real time

Outcomes

Within-design

Pre-, Post and Follow-up survey

  • Descriptive norms and injunctive norms
  • Environmental attitudes
  • Support for the Greens

Between-design

Post survey, from the study compensation

  • A donation, in €10 steps
  • A newsletter sign-up

Local average treatment effect (LATE)

Manipulation check: compliance rates by wave in control and treatment

Since not every treated participant noticed the protest, we instrument self-reported exposure with randomized assignment (2SLS).

Within-design

Y_{t_1i}=\alpha+\beta\,\widehat{\text{Exposure}}_i+\gamma Y_{t_0i}+\varepsilon_i

Between-design

Y_{t_1i}=\alpha+\beta\,\widehat{\text{Exposure}}_i+\varepsilon_i

  • Clustered SE by group ID
  • Results for individual waves
  • Precision-weighted average effect pooled across waves

Main Results

Norms, environmental attitudes, and Green support barely move in the immediate post-survey. Bystanders give about €4.45 more to the environmental cause.

Heterogeneous effects

Attitudes stay mainly zero across groups. Donations are largest among people already predisposed toward environmental protection.

Three implications

  1. Limited direct influence on bystanders. Even large, peaceful, highly visible demonstrations leave attitudes, perceived norms, and electoral preferences largely unchanged.

→ Documented effects may depend less on encounters than on what protest sets in motion: repeated exposure, media amplification, interpersonal diffusion, and elite response (Wasow 2020; Madestam et al. 2013; Valentim 2023)

  1. How protest effects are identified empirically. Observational designs based on occurrence, size, or timing measure a compound effect, often falsely attributed to encounter.

→ To understand how protest generates political change, we need to carefully distinguish different channels.

  1. Direct exposure is not entirely inconsequential. Bystanders give greater material support to the cause, concentrated among those already sympathetic.

→ Conventional protest may be better able to activate existing sympathies than change established political views.

Acknowledgments

Control stand during fieldwork

21 RAs on the ground full day for each wave. Thank you!

Noah Badenhoop, Alma Below, Jana Krischke, Felix Heimburger, Eren Aytac, Madlen Beck, Antonia Briel, Nora Chirikure, Ahmed Elebrashi, William Fernandez, Maurice Baudet von Gersdorff, Janosch Glöckner, Inga Haudan, Annina Hermes, Philipp Heyna, Lukas Kern, Ruth Meissner, Teresa Hofmann Muñoz, Lennard Naumann, Cristian-Liviu Nicolescu, Anaïs Nimubona, Abigail Peña, Sophie Randerath, Magdalena Römischer, Alena Scheinert, Luca Schenk, Claudia Schliepe, Charlotte Schlüter, Johan Schlüter, Evelyn Schneider, Cole Simon, Jonathan Stahl, Marlene Steenken, Quentin Strelli, Frederik Thieme, Lara Türmer, and Lukas Wessling.

Thank you!

violeta.haas@tcd.ie

Appendix

Design

Sample and diagnostics

Waves and intent-to-treat

Complier estimates, by wave

Intent-to-treat

Placebos and robustness

Placebo issues

Robustness

Study Overview

Flow diagram of recruitment, random assignment, post-treatment, and follow-up

Two recruitment stands in waves 2 and 3. One stand in wave 1.

Materials

Envelope with the pre-treatment survey, the route map, and a sealed post-treatment survey.

Routes, 15 September 2023

Global climate strike, about 24,000 participants.

Routes, 1 March 2024

Co-organized with a union and an NGO, about 1,000 participants.

Routes, 20 September 2024

Global climate strike, about 5,000 participants.

Did they see it?

Control routes stay clear of the protest. On treatment routes, recognizing an environmental protest is nearly universal in wave 1 and uncommon later.

Light bars: saw a protest. Dark bars: recognized an environmental focus. Control is reverse-coded, so higher bars mean a successful manipulation in both arms.

Covariate balance

Pre-treatment covariates by route assignment.

Compliance shares

Compliers, never-takers, and always-takers.

Who complies

Pre-treatment covariates across compliance groups.

Pre-registered power

252 clusters were set for 80% power at a standardized effect of 0.15.

Donation amounts

The increase is broad participation at low and moderate amounts.

Norms by wave

Wave-specific LATE for descriptive and injunctive norms.

Attitudes by wave

Wave-specific LATE for environmental attitudes.

Green support by wave

Wave-specific LATE for propensity to vote for the Greens.

Behavior by wave

Wave-specific LATE for newsletter sign-up and donations.

Intent-to-treat (ITT)

Within-design

Y_{t_1i}=\alpha+\beta\,\text{Treatment}_i+\gamma Y_{t_0i}+\varepsilon_i

Between-design

Y_{t_1i}=\alpha+\beta\,\text{Treatment}_i+\varepsilon_i

  • Clustered SE by group ID
  • Results for individual waves
  • Precision-weighted average effect pooled across waves

Norms, intent-to-treat

Effect of assignment to the treatment route, whether or not the respondent reported seeing the protest.

Attitudes, intent-to-treat

Intent-to-treat estimates for environmental attitudes.

Green support, intent-to-treat

Intent-to-treat estimates for propensity to vote for the Greens.

Behavior, intent-to-treat

Intent-to-treat estimates for newsletter sign-up and donations.

Placebo norms

Immigration and redistribution. Same LATE specification.

Placebo attitudes

Immigration and economic attitudes.

Placebo parties

Propensity to vote for parties other than the Greens.

Placebo newsletters

Newsletter sign-up for immigration and redistribution organizations.

Placebo donations

Donations to organizations working on immigration and redistribution.

Two-sided tests

Main outcomes, with two-sided tests. The preregistered tests are one-sided.

Covariate-adjusted estimates

Controls for age and left–right self-placement.

Follow-up subset

Immediate effects re-estimated on respondents who also completed the follow-up.

Random subsamples

Immediate effects in random subsamples the size of the follow-up.

Issue salience

At follow-up, treatment respondents are no more likely to name the environment as the most important problem.

Social desirability

Donation effect by a pre-treatment social-desirability index. Wave 3.

Heterogeneity

LATE by gender, age, ideology, prior Green support, and prior environmental attitudes.