Who Participates in Africa? Dispelling the Myth

picture by Britanny Danisch on flickr.

Whenever discussing participation in Africa (as well as in other developing contexts) the issue of “who participates” often emerges. A constant in these conversations is an assumption that participation in the continent is strongly driven by material and immaterial resources (e.g. money, time). In other words, there seems to be a widespread belief, particularly among development practitioners,  that the most privileged sectors of society are disproportionately more likely to participate than the least well-off.

In part, such an assumption is empirically grounded. Since the early 70s,  studies have shown inequality in political participation, with the most advantaged groups being disproportionately more likely to participate. Considering that policy preferences between groups differ, unequal participation leads to the troubling possibility that public policy is skewed towards favoring the better off, thus further deepening societal differences and access to public goods and services.

However, often ignored is the fact that most of these studies refer to  participation in traditional western democracies, notably the United States and European countries. But do these results hold true when it comes to participation in Africa? This is the question that Ann-Sofie Isaksson (University of Gothenburg) tackles in a paper published in Electoral Studies “Political participation in Africa: The role of individual resources”.

By looking at an Afrobarometer dataset of 27,000 respondents across 20 African countries, Isaksson’s findings challenge the standard thinking on the relationship between resources and participation:

(…) it seems the resource perspective does a poor job at explaining African political participation. If a resource is relevant for meeting the costs of participating, more of that resource should mean more participation. If anything, however, the estimations suggest that having little time (i.e. working full-time) and little money (i.e. being poorer) is associated with more participation.

Isaksson’s analysis is not confined to participation in elections, also examining non-electoral participation, i.e. attending community meetings. With regard to the latter only, there are modest effects associated with exposure to information  (e.g. radio, TV, newspapers) and education. Yet, as the author notes, “the result that community attendance is higher among the poor remains”.

To conclude, as underlined by Isaksson in her paper, she is not alone in terms of findings, with other studies looking at Asia and Latin America pointing in a similar direction, slowly dispelling the myth of the role of resources for participation in developing countries. Development practitioners should start to take note of these encouraging facts.

***

P.s.: An earlier ungated version of the paper can be found here [PDF].

10 Most Read Posts in 2013

Below is a selection of the 10 most read posts at DemocracySpot in 2013. Thanks to all of those who stopped by throughout the year, and happy 2014.

1. Does transparency lead to trust? Some evidence on the subject.

2. The Foundations of Motivation for Citizen Engagement

3. Open Government, Feedback Loops, and Semantic Extravaganza

4. Open Government and Democracy

5. What’s Wrong with e-Petitions and How to Fix them

6. Lawrence Lessig on Sortition and Citizen Participation

7. Unequal Participation: Open Government’s Unresolved Dilemma

8. The Effect of SMS on Participation: Evidence from Uganda

9. The Uncertain Relationship Between Open Data and Accountability

10. Lisbon Revisited: Notes on Participation

Rethinking Why People Participate

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Having a refined understanding of what leads people to participate is one of the main concerns of those working with citizen engagement. But particularly when it comes to participatory democracy, that understanding is only partial and, most often, the cliché “more research is needed” is definitely applicable. This is so for a number of reasons, four of which are worth noting here.

  1. The “participatory” label is applied to greatly varied initiatives, raising obvious methodological challenges for comparative research and cumulative learning. For instance, while both participatory budgeting and online petitions can be roughly categorized as “participatory” processes, they are entirely different in terms of fundamental aspects such as their goals, institutional design and expected impact on decision-making.
  2. The fact that many participatory initiatives are conceived as “pilots” or one-off events gives researchers little time to understand the phenomenon, come up with sound research questions, and test different hypotheses over time.  The “pilotitis” syndrome in the tech4accountability space is a good example of this.
  3. When designing and implementing participatory processes, in the face of budget constraints the first victims are documentation, evaluation and research. Apart from a few exceptions, this leads to a scarcity of data and basic information that undermines even the most heroic “archaeological” efforts of retrospective research and evaluation (a far from ideal approach).
  4. The semantic extravaganza that currently plagues the field of citizen engagement, technology and open government makes cumulative learning all the more difficult.

Precisely for the opposite reasons, our knowledge of electoral participation is in better shape. First, despite the differences between elections, comparative work is relatively easy, which is attested by the high number of cross-country studies in the field. Second, the fact that elections (for the most part) are repeated regularly and following a similar design enables the refinement of hypotheses and research questions over time, and specific time-related analysis (see an example here [PDF]). Third, when compared to the funds allocated to research in participatory initiatives, the relative amount of resources channeled into electoral studies and voting behavior is significantly higher. Here I am not referring to academic work only but also to the substantial resources invested by the private sector and parties towards a better understanding of elections and voting behavior. This includes a growing body of knowledge generated by get-out-the-vote (GOTV) research, with fascinating experimental evidence from interventions that seek to increase participation in elections (e.g. door-to-door campaigns, telemarketing, e-mail). Add to that the wealth of electoral data that is available worldwide (in machine-readable formats) and you have some pretty good knowledge to tap into. Finally, both conceptually and terminologically, the field of electoral studies is much more consistent than the field of citizen engagement which, in the long run, tends to drastically impact how knowledge of a subject evolves.

These reasons should be sufficient to capture the interest of those who work with citizen engagement. While the extent to which the knowledge from the field of electoral participation can be transferred to non-electoral participation remains an open question, it should at least provide citizen engagement researchers with cues and insights that are very much worth considering.

This is why I was particularly interested in an article from a recently published book, The Behavioral Foundations of Public Policy (Princeton). Entitled “Rethinking Why People Vote: Voting as Dynamic Social Expression”, the article is written by Todd Rogers, Craig Fox and Alan Berger. Taking a behavioralist stance, the authors start by questioning the usefulness of the rationalist models in explaining voting behavior:

“In these [rationalist] models citizens are seen as weighing the anticipated trouble they must go through in order to cast their votes, against the likelihood that their vote will improve the outcome of an election times the magnitude of that improvement. Of course, these models are problematic because the likelihood of casting in the deciding vote is often hopelessly small. In a typical state or national election, a person faces a higher probability of being struck by a car on the way to his or her polling location than of casting the deciding vote.”

(BTW, if you are a voter in certain US states, the odds of being hit by a meteorite are greater than those of casting the deciding vote).

Following on from the fact that traditional models cannot fully explain why and under which conditions citizens vote, the authors develop a framework that considers voting as a “self-expressive voting behavior that is influenced by events occurring before and after the actual moment of casting a vote.” To support their claims, throughout the article the authors build upon existing evidence from GOTV campaigns and other behavioral research. Besides providing a solid overview of the literature in the field, the authors express compelling arguments for mobilizing electoral participation. Below are a few excerpts from the article with some of the main takeaways:

  • Mode of contact: the more personal it is, the more effective it is

“Initial experimental research found that a nonpartisan face-to-face canvassing effort had a 5-8 percentage point mobilizing effect in an uncontested midterm elections in 1998 (Gerber and Green 2000) compared to less than a 1 percentage point mobilizing effect for live phone calls and mailings. More than three dozen subsequent experiments have overwhelmingly supported the original finding (…)”

“Dozens of experiments have examined the effectiveness of GOTV messages delivered by the telephone. Several general findings emerge, all of which are consistent with the broad conclusion that the more personal a GOTV strategy, the more effective. (…) the most effective calls are conducted in an unhurried, “chatty manner.”

“The least personal and the least effective GOTV communication channels entail one way communications. (…) written pieces encouraging people vote that are mailed directly to households have consistently been shown to produce a mall, but positive, increase in turnout.”

  • Voting is affected by events before and after the decision

“One means to facilitate the performance of a socially desirable behavior is to ask people to predict whether they will perform the behavior in the future. In order to present oneself in a favorable light or because of wishful thinking or both, people are generally biased to answer in the affirmative. Moreover, a number of studies have found that people are more likely to follow through on a behavior after they predicted that they will do so (….) Emerging social-networking technologies provide new opportunities for citizens to commit to each other that they will turnout in a given election. These tools facilitate making one’s commitments public, and they also allow for subsequently accountability following an election (…) Asking people to form a specific if-then plan of action, or implementation intention, reduces the cognitive costs of having to remember to pursue an action that one intends to perform. Research shows that when people articulate the how, when and where of their plan to implement an intended behavior, they are more likely to follow through.”

(Not coincidentally, as noted by Sasha Issenberg in his book The Victory Lab, during the 2010 US presidential election millions of democrats received an email reminding them that they had “made a commitment to vote in this election” and that “the time has come to make good on that commitment. Think about when you’ll cast your vote and how you’ll get there.”)

“ (…) holding a person publicly accountable for whether or not she voted may increase her tendency to do so. (…) Studies have found that when people are merely made aware that their behavior will be publicly known, they become more likely to behaving in ways that are consistent with how they believe others think they should behave. (…) At least, at one point Italy exposed those who failed to vote by posting the names of nonvoters outside of local town halls.”

(On the accountability issue, also read this fascinating study [PDF] by Gerber, Green & Larimer)

  • Following the herd: affinitive and belonging needs

“People are strongly motivated to maintain feelings of belonging with others and to affiliate with others. (…) Other GOTV strategies that can increase turnout by serving social needs could involve encouraging people to go to their polling place in groups (i.e., a buddy system), hosting after-voting parties on election day, or encouraging people to talk about voting with their friends, to name a few.”

“(…) studies showed that the motivation to vote significantly increased when participants heard a message that emphasized high expected turnout as opposed to low expected turnout. For example, in the New Jersey study, 77% of the participants who heard the high-turnout script reported being “absolutely certain” that they would vote, compared to 71% of those who heard the low-turnout script. This research also found that moderate and infrequent voters were strongly affected by the turnout information.”

  • Voting as an expression of identity

“(….) citizens can derive value from voting through what the act displays about their identities. People are willing to go to great lengths, and pay great costs, to express that they are a particular kind of person. (….) Experimenters asked participants to complete a fifteen-minute survey that related to an election that was to occur the following week. After completing the survey, the experimenter reviewed the results and reported to participants what their responses indicated. Participants were, in fact, randomly assigned to one of two conditions. Participants in the first condition were labeled as being “above-average citizens[s] … who [are] very likely to vote,” whereas participants in the second condition were labeled as being “average citizen[s] … with an average likelihood of voting. (….) These identity labels proved to have substantial impact on turnout, with 87% of “above average” participants voting versus 75% of “average” participants voting.”

For those working with participatory governance, the question that remains is the extent to which each of these lessons is applicable to non-electoral forms of participation. The differences between electoral and non-electoral forms of participation may cause these techniques to generate very different results. One difference relates to public awareness about participation opportunities. While it would be safe to say that during an important election the majority of citizens are aware of it, the opposite is true for most existing participatory events, where generally only a minority is aware of their existence. In this case, it is unclear whether the impact of mobilization campaigns would be more or less significant when awareness about an event is low. Furthermore, if the act of voting may be automatically linked to a sense of civic duty, would that still hold true for less typical forms of participation (e.g. signing an online petition, attending a community meeting)?

The answer to this “transferability” question is an empirical one, and one that is yet to be answered.  The good news is that while experiments that generate this kind of knowledge are normally resource intensive, the costs of experimentation are driven down when it comes to technology-mediated citizen participation. The use of A/B testing during the Obama campaign is a good example. Below is an excellent account by Dan Siroker on how they conducted online experiments during the presidential campaign.

Bringing similar experiments to other realms of digital participation is the next logical step for those working in the field. Some organizations have already started to take this seriously . The issue is whether others, including governments and donors, will do the same.

What Can Genetics Tell Us About Participation?

For a while now there’s been some literature looking at the extent to which genetic traits might be linked to patterns of political participation, with some studies suggesting that genes might even play a role in which party one votes for. Here’s a great contribution to this literature, looking at the extent to which psychological traits – cognitive ability, personal control, and extraversion – mediate the relationship between genes and participatory behavior. As well as the findings, the paper also presents an excellent overview of the literature at the intersection of genetics and political participation. Below are a few excerpts from the paper (forthcoming in the American Journal of Political Science).

Motivated by earlier research showing a genetic basis for political attitudes (Martin et al. 1986, Alford, Funk & Hibbing 2005), researchers recently discovered that political behaviors like voter turnout and other acts of political participation are also influenced by genetic variation (Fowler,Baker & Dawes 2008). These findings raise the question of how genes and political participation are linked. Mondak (2010) suggested that personality traits may intermediate the relationship between genes and political participation, a conjecture that is potentially supported by recent scholarship demonstrating a relationship between personality traits and political participation (Gerber et al. 2011, Mondak et al. 2010, Mondak 2010, Blais & St-Vincent 2011, Vecchione & Caprara 2009, Mondak & Halperin 2008, Denny & Doyle 2008, Gallego & Oberski 2012). However, an empirical link between genes, personality traits, and political participation has yet to be established. This article seeks to explore the relationship between all three using a uniquely assembled and comprehensive genetically informative dataset with information on personality, cognitive ability and a wide range of political attitudes, beliefs and behaviors. We focus on three potential intermediate psychological traits identified by the literature: cognitive ability, personal control, and extraversion.

(…)

To preview our results, we demonstrate that both acts of participation and related political predispositions share a common source of genetic variation with psychological traits. However, the three psychological traits we study account for only a modest amount of the heritable variation in political participation and predispositions. If psychological traits are in fact mediators, as has been hypothesized by other scholars (Mondak et al. 2010, Mondak 2010), a majority of the heritable variation in political participation and predispositions is likely mediated by traits other than cognitive ability, personal control, and extraversion. Finally, we attempt to test the nature of the relationship between genes, psychological traits, and political participation using a Direction of Causation model (Heath et al. 1993, Duy & Martin 1994).

You can read the full paper “Genes, Psychological Traits, and Participation” here [PDF].

Modeling the Rise in Internet-based Petitions

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By Taha Yasseri, Scott A. Hale, and Helen Margetts (Oxford Internet Institute)

Collective action taking place on Internet platforms leaves a digital imprint which may be harvested to better understand the dynamics of mobilization. This ‘big data’ offers social science researchers the potential for new forms of analysis, using real-time transactional data based on entire populations, rather than sample-based surveys of what people think they did or might do. This paper uses a big data approach to track the growth of about 20,000 petitions to the UK Government over two years, analyzing the rate of growth and the outreach mechanism. The number of signatures was collected for all petitions with an hourly resolution. The vast majority of petitions did not achieve any measure of success; over 99 percent failed to get the 10,000 signatures required for an official response, and only 0.1 percent attained the 100,000 required for a parliamentary debate. We analyze the data through a multiplicative process model framework to explain the growth of signatures. We have defined and measured an average outreach factor for petitions and show that it decays very fast (reducing to 0.1% after 10 hours); after 24 hours, a petition’s fate is virtually set.

Read the full paper here [PDF].

And if you are interested in e-petitions, you may also like this. 

Italian Politics 2.0: The Multifaceted Effect of the Internet on Political Participation

We investigate the impact of the diffusion of high-speed Internet on different forms of political participation, using data from Italy. We exploit differences in the availability of ADSL broadband technology across municipalities, using the exogenous variation induced by the fact that the cost of providing ADSL-based Internet services in a given municipality depends on its relative position in the pre-existing voice telecommunications infrastructure. We first show that broadband Internet had a substantial negative effect on turnout in parliamentary elections between 1996 and 2008. However, we also find that it was positively associated with other forms of political participation, both online and offline: the emergence of local online grassroots protest movements, and turnout in national referenda (largely opposed by mainstream parties). We then show that the negative effect of Internet on turnout in parliamentary elections is essentially reversed after 2008, when the local grassroots movements coalesce into the Five-Star Movement (M5S) electoral list. Our findings are consistent with the view that: 1) The effect of Internet availability on political participation changes across different forms of engagement; 2) It also changes over time, as new political actors emerge who can take advantage of the new technology to tap into the existence of a disenchanted or demobilized contingent of voters; and 3) These new forms of mobilization eventually feed back into the mainstream electoral process, converting “exit” back into “voice”.

Read full paper here [PDF].

12 Papers on Social Media and Political Participation

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I just came across the website of the Social Media and Political Participation conference, which took place in Florence this May.

Below is the presentation by Henry Farrel (from the Monkey Cage) on Cognitive Democracy and the Internet, followed by links to the papers.

Cognitive Democracy and the Internet Henry Farrell, George Washington University

Politics 2.0: The Multifaceted Effect of Broadband Internet on Political Participation Francesco Sobbrio, European University Institute

Birds of the Same Feather Tweet Together: Bayesian Ideal Point Estimation Using Twitter Data Pablo Barbera, New York University

Politicians Go Social. Estimating Intra-Party Heterogeneity (and its Effects) through the Analysis of Social Media Andrea Ceron, University of Milan

Connective Action in European Mass Protest  Eva Anduiza, Autonomous University of Barcelona

The Bridges and Brokers of Global Campaigns in the Context of Social Media Sandra Gonzalez-Bailon, Oxford Internet Institute

Every Tweet Counts? How Sentiment Analysis of Social Media Can Improve our Knowledge of Citizens’ Policy Preferences: An Application to Italy and France Stefano Iacus, University of Milan

The Rise and Decline of the “Occupy Wall Street” Movement from a Digital Perspective Alessandro Flammini, University of Indiana

Is the Internet Good or Bad for Politics? Yes. Let’s talk about How and Why Zeynep Tufekci, University of North Carolina, Chapel Hill

Follow the leader! Dynamics and Patterns of Activity among the Followers of the Main Italian Political Leaders during the 2013 General Election Campaign Cristian Vaccari, New York University and University of Bologna

Social Networks, Peer Pressure and Protest Participation Alexey Makarin, New Economic School, Moscow

Mobilizing Online Data to Understand Offline Mobilization: Two Attempts at Online Observational Research in Russia   Sam Greene, King’s College London

The Foundations of Motivation for Citizen Engagement

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Discussions about incentives to participate are increasingly common, but they are as shallow as most conversations nowadays about the subject of “feedback loops”. And very little reflection is actually dedicated to questions such as why, when and how people participate.

This is why this talk by Judd Antin, User Experience Researcher at Facebook, is one of the best I’ve heard lately. He goes a step further than making commonsensical assumptions, and examines the issue of motivations to participate in a more critical and systematic manner. When it comes to technology mediated processes, Judd is actually one of the few people looking seriously at the issue of incentives/motivations to participate.

In the talk Judd begins by arguing that “(…) the foundations of motivation in the age of social media, they are kind of the same as the foundations of motivation before the age of social media.” I cannot help but agree and sympathize with the statement. It is particularly annoying to  hear on a daily basis claims suggesting that individual and social processes are fundamentally altered by technologies, and “how new” this field is. “I don’t fool myself into thinking that this is a brand new world”, remarks Judd. Too bad so many are fooling themselves these days.

Judd’s take on incentives to participate is particularly sobering for some cheerleaders of gamification,  highlighting the limits of instrumental rewards and the need to focus on issues such as group identification, efficacy and – importantly – simplicity.

Finally, and on a more anecdotal note, it is interesting to see how some issues are similar across different spaces. At some point Judd points out that the “dislike” button is one of the features most requested by Facebook users. In a similar vein, one of the most requested features for e-Petitions platforms is the possibility to sign “against” a petition.

In both cases, these requests have been largely ignored. My feeling is that the implications for these choices of design for collective action are far from neutral, and these are issues that we should be looking at more closely.

In any case, Judd’s talk is great, and so are his articles: you can find a list of his most recent ones below.

Title / Author Year
SYSTEM FOR CUSTOM USER-GENERATED ACHIEVEMENT BADGES BASED ON ACTIVITY FEEDS
J Antin, EF Churchill, DA Shamma, M De Sa
US Patent 20,130,086,484
2013
Social desirability bias and self-reports of motivation: a study of amazon mechanical turk in the US and India
J Antin, A Shaw
Proceedings of the 2012 ACM annual conference on Human Factors in Computing …
2012
Profanity use in online communities
S Sood, J Antin, E Churchill
Proceedings of the 2012 ACM annual conference on Human Factors in Computing …
2012
Using Crowdsourcing to Improve Profanity Detection
SO Sood, J Antin, E Churchill
AAAI Spring Symposium Series, 69-74
2012
Local experts and online review sites
J Antin, M de Sa, EF Churchill
Proceedings of the acm 2012 conference on computer supported cooperative …
2012
Some of all human knowledge: gender and participation in peer production
A Forte, J Antin, S Bardzell, L Honeywell, J Riedl, S Stierch
Proceedings of the ACM 2012 conference on Computer Supported Cooperative …
2012
Apples to Oranges?: Comparing across studies of open collaboration/peer production
J Antin, EH Chi, J Howison, S Paul, A Shaw, J Yew
Proceedings of the 7th International Symposium on Wikis and Open …
2011
Gender differences in Wikipedia editing
J Antin, R Yee, C Cheshire, O Nov
Proceedings of the 7th International Symposium on Wikis and Open …
2011
Mobile augmented reality: video prototyping
M de Sá, J Antin, D Shamma, EF Churchill
Proceedings of the 2011 annual conference extended abstracts on Human …
2011
My kind of people?: perceptions about wikipedia contributors and their motivations
J Antin
Proceedings of the 2011 annual conference on Human factors in computing …
2011
Workshop on online reputation: context, privacy, and reputation management
J Antin, EF Churchill, BC Chen
Proceedings of the 20th international conference companion on World wide web …
2011
Technology-Mediated Contributions: Editing Behaviors Among New Wikipedians
J Antin, C Cheshire, O Nov
2011
Automatic identification of personal insults on social news sites
SO Sood, EF Churchill, J Antin
Journal of the American Society for Information Science and Technology
2011
Badges in social media: A social psychological perspective
J Antin, E Churchill
Human Factors, 1-4
2011
Toy Psychology-Using gaming tactics to shape our online behavior may not be as effective as some have hoped.
J Antin
Technology Review-Massachussets Institute ofTechnology-English Edition, 11
2011
General and Familiar Trust in Websites
C Cheshire, J Antin, KS Cook, E Churchill
Knowledge, Technology & Policy, 1-21
2010
Everyday favors: A case study of a local online gift exchange system
E Suhonen, A Lampinen, C Cheshire, J Antin
Proceedings of the 16th ACM international conference on Supporting group …
2010
Behaviors, adverse events, and dispositions: An empirical study of online discretion and information control
C Cheshire, J Antin, E Churchill
Journal of the American Society for Information Science and Technology 61 (7 …
2010
NONE OF US IS AS LAZY AS ALL OF US
C Cheshire, J Antin
Information, Communication & Society 13 (4), 537-555
2010
With a little help from my friends: Self‐interested and prosocial behavior on MySpace Music
J Antin, M Earp
Journal of the American Society for Information Science and Technology 61 (5 …
2010

Are ‘Good’ Citizens ‘Good’ Participants?

Article by Catherine Bolzendahl and Hilde Coffé recently published at Political Studies (2013):

Are ‘Good’ Citizens ‘Good’ Participants? Testing Citizenship Norms and Political Participation across 25 Nations. 

Abstract:

Whereas research on political participation typically investigates a variety of socio-economic and attitudinal characteristics, this cross-national study focuses on the relevance of norms when explaining political participation. We examine respondents’ normative beliefs about the importance of various measures of ‘good citizenship’, and their relationship to three modes of political engagement (activism, party membership and voting). We find assigning higher importance to paying taxes/obeying the law is negatively linked to all forms of participation, whereas the opposite is true for norms about the importance of voting and being active in associations. Greater emphasis on norms about understanding others and shopping politically is positively associated with political activism but not with more institutional forms of participation. The relationship between norms and participation differs somewhat across nations, with the most differences between Eastern European respondents and those from Western European and Western non-European respondents. In line with theories on democratic learning, we find that the relationship between citizenship norms and participation is often weakest among Eastern Europeans. Conclusions about the subjective and variable nature of democratic citizenship are discussed.

An interesting finding is the weak link between the duty to “keep a watch on the actions of government” and most types of participation (i.e. political activism and electoral participation). I cannot help but speculate about the extent to which these findings may help to explain why generally it is relatively easier to engage citizens in participatory processes (e.g. participatory budgeting) than have them monitor the outcomes of these same processes (e.g. oversight of budget execution).

Another possible reading is that the citizen who participates is different from the citizen who monitors. One of the practical implications of this would be that we should consider segmenting audiences (and outreach efforts) according to specific stages of the policy cycle.

Read the full article here.

A Dynamic Model of Protest

A nice animation based on a paper by Adam Meirowitz (Princeton) and Joshua Tucker (New York University). The video explains why citizens who take action to overthrow bad governments might eventually lose hope  and decide to stay home.

 

The paper was published this year in the American Journal of Political Science. Here is the abstract:

In the aftermath of the Arab Spring, a crucial question is whether popular protest is now likely to be a permanent part of Middle Eastern politics or if the protests that have taken place over the past two years are more likely to be a “one-shot deal.” We consider this question from a theoretical perspective, focusing on the relationship between the consequences of protests in one period and the incentives to protest in the future. The model provides numerous predictions for why we might observe a phenomenon that we call the “one-shot deal”: when protest occurs at one time but not in the future despite an intervening period of bad governance. The analysis focuses on the learning process of citizens. We suggest that citizens may not only be discovering the type or quality of their new government—as most previous models of adverse selection assume—but rather citizens may also be learning about the universe of potential governments in their country. In this way, bad performance by one government induces some pessimism about possible replacements. This modeling approach expands the formal literature on adverse selection in elections in two ways: it takes seriously the fact that removing governments can be costly, and it explores the relevance of allowing the citizen/principal to face uncertainty about the underlying distribution from which possible government/agent types are drawn.

The authors’ highlighting of the need to “get it right” in the first transitional elections comes as a reminder of how frail electoral democracy may be in recently transitioned countries. A snapshot from the conclusion (ungated version):

In the aftermath of events like the Arab Spring and the Colored Revolutions, we are once again confronted with the question of what the long-range effects are likely to be of regime change ushered in by citizens taking to the streets. Such moments are often filled with optimism about the potential for people to seize control of their own destiny and finally demand accountability from their governments. The model we present in this article does not deny that this optimistic chain of events can come to fruition, but it does lead to important insights as to when such a scenario is more or less likely.

First, there is likely to be a fundamental difference between what happens following a protest that leads to regime change as opposed to one that leads merely to a change of government without changing the regime. So a protest in France that leads to a change in the government—for example, the 1968 protests and subsequent resignation of de Gaulle (Cerny 1970)—is not likely to change citizens’ minds about the overall distribution of the quality of governments available through French democracy. Citizens may feel that they have received a “bad” draw from this distribution, and thus it is worth trying to throw the current government out of power and replace it with a new draw from the same distribution. In these circumstances—provided the cost of protesting remains constant—there is no reason not to expect French citizens to take to the streets to protest against their government in similar numbers in thefuture.

In a new democracy, however, we suggest that citizens may be simultaneously updating about the quality of the current government and the potential quality of all governments available under a democratic regime. This learning may be rather dramatic during the first governments of the new regime. If these initial governments after a democratic transition should prove to be little better than previous nondemocratic governments, citizens might be unlikely to take costly actions in order to curtail new abuses or even deter a blatant disregard for the new rules calling for periodic elections. Thus, we are probably most likely to see a one-shot-deal scenario when the initial governments following a democratic transition are perceived as no better than the ones that preceded the transition. Conversely, repeated protest might be more likely if there are afew “good” governments—thus leading respondents to think that the average quality of government is indeed better under democracy—before a government that might threaten democracy appears again. The bottom line is that if the type of learning that underlines our model is indeed occurring in newly democratic regimes, then the stakes for these regimes during the initial post-transition governments are likely to be high indeed.

Taken together, these points suggest the potential for the following patterns to emerge. The size and strength of protests may increase over time in a nondemocratic regime, but once the initial goal of removing the old regime from office is accomplished, the ability of prodemocracy forces to bring their supporters to the street may diminish significantly. The intuitive explanation for such a pattern would normally be that “the goal has been met,” but our model suggests a different story: it may not be so much that the goal has been met as the goal no longer seems to be quite so valuable. Again, this points to the importance of “getting it right” in the first transitional elections.

You can read the full paper (ungated version) here [PDF].

HT The Monkey Cage.