Post developed by Katherine Pearson
In order to track and share data on events unfolding in Ukraine, Yuri Zhukov, Associate Professor of Political Science and Research Associate Professor at the Center for Political Studies, launched VIINA: Violent Incident Information from News Articles on the 2022 Russian Invasion of Ukraine. VIINA is a near-real time multi-source event data system for the invasion.
“I wanted to make these data available immediately because media sites in both countries are already being shut down, due to either censorship (in Russia) or military operations (in Ukraine),” said Zhukov. “It is thus essential that researchers have access to information about the war, as reported across media organizations and other actors in the information space.” While different media cover different types of events, VIINA’s multi-source approach will capture a more accurate picture of events as they unfold.
This platform allows researchers to access data based on news reports from Ukrainian and Russian media, which have been geocoded and classified into standard conflict event categories through machine learning.
VIINA is freely available for use by students, journalists, policymakers, and researchers. Using an automated web scraping routine that runs every 6 hours, VIINA extracts the text of news reports published by each source and their associated metadata, including publication time and date, web urls. GIS-ready data can be downloaded from VIINA, with temporal precision down to the minute.
VIINA draws on news reports from a variety of Ukrainian and Russian news providers. Data sources currently include news wires, TV stations, newspapers, and online publications in both countries. Zhukov plans to expand these sources as the conflict unfolds, to include OSINT social media feeds and other key sources. The set of sources may also change as the war unfolds — due to interruptions to journalistic activity from military operations, cyber attacks, and state censorship, as well as the availability of new data from other information providers.
VIINA: Violent Incident Information from News Articles on the 2022 Russian Invasion of Ukraine.
Post developed by Catherine Allen-West in coordination with Michael Robbins.
ICYMI (In Case You Missed It), the following work was presented at the 2016 Annual Meeting of the American Political Science Association (APSA). The presentation, titled “Passive Support for the Islamic State: Evidence from a Survey Experiment” was a part of the session “Survey and Laboratory Experiments in the Middle East and North Africa” on Thursday, September 1, 2016.
On Thursday morning at APSA 2016, Michael Robbins, Amaney Jamal and Mark Tessler presented work which explores levels of support for the Islamic State among Arabs, using new data from the Arab Barometer. The slide set used in their presentation can be viewed here: slides from Robbins/Jamal/Tessler presentation
Their results show that among the five Arab countries studied (Jordan, Morocco, Tunisia, Palestine and Algeria) there is very little support for the tactics used by Islamic State.
Furthermore, even among Islamic State’s key demographic – younger, less-educated males – support remains low.
For a more elaborate discussion of this work and the above figures, please see their recent post in the Washington Post’s Monkey Cage blog, “What do ordinary citizens in the Arab world really think about the Islamic State?”
Mark Tessler is the Samuel J. Eldersveld Collegiate Professor of Political Science at the University of Michigan. Michael Robbins is the director of the Arab Barometer. Amaney A. Jamal is the Edwards S. Sanford Professor of Politics at Princeton University and director of the Mamdouha S. Bobst Center for Peace and Justice.
Post developed by Yioryos Nardis in coordination with Christian Davenport.
Department of Political Science Professor and Center for Political Studies faculty member Christian Davenport’s latest work examines transitional justice – judicial and non-judicial actions implemented by governments to deal with legacies of human rights abuses. These actions can typically include criminal prosecutions, truth commissions, reparations, and various kinds of institutional reforms.
In Transitional Injustice: Subverting Justice in Transition and Postconflict Societies, published in the Journal of Human Rights, Davenport and Cyanne Loyle, Assistant Professor of Political Science at Indiana University, coin the term transitional injustice to describe governments that implement transitional justice without maintaining interest in truth, peace, or democracy. Instead, their intention is to promote denial and forgetting, violence, and legitimize authoritarianism.
The normative perspective of transitional justice assumes that legal processes following political conflict are implemented with the goal of reconciliation, peace, and democratization. It is assumed that “good” processes will lead to “good” outcomes. However, this assumption makes it possible for governments to hide behind transitional justice using similar legal institutions to advance detrimental aims. Davenport and Loyle argue that governments can use trials, truth commissions and amnesty without maintaining an interest in these goals, but rather to promote transitional injustice, i.e. denial, violence, and legitimizing state repression. Transitional injustice is particularly problematic for those interested in promoting justice processes because it reveals how institutions can be subverted for different purposes, often with international consent.
The article not only provides conceptual clarity on identifying differences but also provides indicators by which policy makers and scholars can determine if transitional injustice is taking place. In particular, policy makers can identify transitional injustice by relying on three key dimensions: (1) characteristics of the process, (2) levels of violence in the postconflict society, and (3) characteristics of the government (Table 1). These components allow government intentions and the potential for subversion of justice to be evaluated.
First, the degree of openness of the process is an indicator of the objectives of the government and the possibility for positive outcomes from the process. One could gauge the promotion or subversion of truth-telling by the degree to which distinct actors are integrated into the justice process, given an opportunity to participate, to draft, review and edit relevant decisions, as well as veto aspects of the process. Transitional justice should have a broad mandate incorporating all types of violations experienced during the conflict. Transitional injustice, however, reveals itself as a more closed process with a limited mandate and exclusion of certain individuals and groups.
The second indicator is the level of violence surrounding the process and the country. While violent events often linger in postconflict societies, the presence of transitional justice should lead to reduced levels of violence in the society overall. Transitional injustice however, is accompanied by violence internationally, domestically, and surrounding the process itself.
Third, characteristics of the government can be assessed by the level of democracy and the country’s present trajectory. Breaking from a past autocratic regime does not ensure that the new regime will be more democratic. Rather, the intentions of the regime should be assessed through institutional and behavioral indicators of democracy. The degree to which a justice process legitimates a democracy through open and frequent elections, diverse and representative political parties, and autonomous institutions is a valuable metric for understanding the general intent of those involved. Transitional justice should be accompanied by growing levels of democracy, while transitional injustice will accompany autocracy.
To more specifically illustrate how to identify transitional injustice, the article examines post-genocide Rwanda. On the surface, it appears that Rwanda’s approach to justice supports the normative aims of transitional justice. The Rwandan approach combines international, national, and local justice processes with the stated goals of truth and reconciliation, peace, and democracy. However, critics have called into question the ability of this justice package to accomplish those goals. Instead, it is being revealed that elements of the International Criminal Tribunal for Rwanda, national courts, and local justice processes have been used by the Rwandan government to promote denial, renewed violence, and the legitimization of an autocratic regime.
Regarding the openness of the process, the first dimension of transitional injustice, the space for justice in post-genocide Rwanda has been constricted through the support of targeted remembering, state-sanctioned scripted truths, and restricted access to justice. Instead of addressing all forms of conflict in Rwanda, the current justice package concentrates only on violence committed during the genocide. This strategy aims to direct attention to the successes of the government, namely ending the genocide, and away from its failures, mainly human rights violations and civilian massacres during the civil war and following the 1994 political transition.
Turning to the level of violence surrounding the process, far from reducing violence, the Rwandan approach to justice allows the government to increase domestic violence and international conflict. Violence has been a persistent component of the post-1994 Rwandan state, as in the aftermath of the genocide, a number of people were accused, tried and executed in a short period of time. By 2000, 348 people convicted of genocide crimes through the national courts were sentenced to death (Schabas, 2009), while the procedural fairness of many of those trials is questioned (Amnesty International, 2007). There has also been violence surrounding the justice processes themselves. In 2007 alone, the US State Department recorded 324 incidents of violence related to local justice processes, including killings of genocide survivors (US Department of State, Bureau of Democracy, Human Rights and Labor, 2008). While the government has officially denounced the violence, it has been reluctant or unable to stop it.
The final dimension of transitional injustice, characteristics of the government, provides an example of the Rwandan justice system working to consolidate an authoritarian regime and restrict political participation. The Rwandan government is a far cry from a functioning democracy. While elections have been held, their validity has been questioned and the lack of a viable opposition party has essentially made the country a single-party state (Reyntjens, 2004; Davenport, 2007). Freedom House (2007) has characterized elections as “marred by bias and intimidation which precluded any genuine challenge to the Rwandan Patriotic Front (RPF)”.
Attempts to launch rival political parties have been met with intimidation and, in some instances, violence. The restriction of viable political alternatives to President Kagame’s RPF has limited the electoral power of individual citizens. In the 2010 presidential election, three opposition candidates were excluded from the ballot and Paul Kagame was reelected by 93% of the vote.
In conclusion, Rwanda claims to support domestic and international efforts to collect information about what happened, to communicate the findings, and capture and punish those who were involved in previous violent action. Through these efforts, the government has argued that it will advance truth and reconciliation, prevent violence and facilitate democratization. Unfortunately, by concealing political motivations in the obstruction of justice proceedings and engaging in violent activity, the Rwandan government is doing irreparable damage to the development of truth, reconciliation, rule-of-law, and democracy. In order to acknowledge and challenge this subversion, the international community must recognize the ability of justice institutions to be used for less democratic aims. This research therefore aims to provide skepticism regarding the goals associated with transitional justice as well as indicators to evaluate the potential subversion of relevant processes.
Amnesty International. (2007). Truth, justice and reparation: Establishing an effective truth commission. AI Index: POL 30/009/2007. Available: http://www.refworld.org/docid/4678de4a2.html.
Davenport, Christian. (2007). State Repression and the Domestic Democratic Peace. Cambridge, UK: Cambridge University Press.
Freedom House. (2007). Countries at a Crossroad: Rwanda. Available: https://freedomhouse.org/report/countries-crossroads/2007/rwanda.
Reyntjens, Filip. (2004). Rwanda, ten years on: From genocide to dictatorship. African Affairs,103, 177-210.
Schabas, William A. (2009). Post-genocide justice in Rwanda. In After Genocide: Transitional Justice, Post-Conflict Reconstruction and Reconciliation in Rwanda and Beyond, Phil Clark and Zachary D. Kaufman (eds.). New York: Columbia University Press.
Post developed by Yioryos Nardis in coordination with Yuri Zhukov.
In March and April 2014, angry mobs and armed men stormed administrative buildings and police stations in eastern Ukraine. Waving Russian flags and condemning the post-revolutionary government in Kyiv as an illegal junta, the rebels proclaimed the establishment of ‘Peoples’ Republics’ of Donetsk and Luhansk, and organized a referendum on independence. Despite initial fears that the uprising might spread to other provinces, the rebellion remained surprisingly contained. While 61% of municipalities in Donetsk and Luhansk fell under rebel control during the first year of the conflict, just 20% experienced any rebel violence. What explains these local differences in rebellion across eastern Ukraine? Why have some towns remained under government control while others slipped away? Why might two municipalities in the same region experience different levels of separatist activity?
The latest research by Yuri Zhukov, faculty member in the Center for Political Studies and Assistant Professor of Political Science, uses new micro-level data on violence and economic activity in eastern Ukraine to examine these questions. In the paper “Trading hard hats for combat helmets: The economics of rebellion in eastern Ukraine” (forthcoming in the Journal of Comparative Economics) Zhukov evaluates two prominent explanations on the causes and dynamics of civil conflict in eastern Ukraine: ethnicity and economics.
Identity-based explanations expect conflict to be more likely and more intense in areas where ethnic groups are geographically concentrated. According to this view, the geographic concentration of an ethnolinguistic minority – in this case, Russians or Russian speaking Ukrainians – helps local rebels overcome collective action problems, while attracting an influx of fighters, weapons and economic aid from co-ethnics in neighboring states.
According to economic explanations, as real income from less risky legal activities declines relative to income from rebellious behavior, participation in the rebellion is expected to rise. This framework maintains that violence should be most pervasive in areas potentially harmed by trade openness with the EU, austerity and trade barriers with Russia.
Zhukov finds that local economic factors are much stronger predictors of rebel violence and territorial control than Russian ethnicity or language. Pro-Russian rebels in Ukraine are “pro-Russian” not because they speak Russian, but because their economic livelihood depends on trade with Russia.
The study uses new micro-level data on violence, ethnicity and economic activity in the Donbas region of eastern Ukraine, to understand how these two explanations are related to rebel violence and territorial control. The spatial units are 3037 municipalities (i.e. cities, towns, villages) in Donetsk and Luhansk provinces. For each municipality, Zhukov estimated the proportion of the local labor force employed in three industries: machine-building (which is heavily dependent on exports to Russia), metals (less dependent on Russia, and a potential beneficiary of increased trade with the European Union), and mining (vulnerable to International Monetary Fund-imposed austerity and cuts in state-subsidies). He also calculated the proportion of Russian speakers in each locality.
Rebel violence data are based on human-assisted machine coding of incident reports from multiple sources, including Ukrainian and Russian news agencies, government and rebel press releases, daily ‘conflict maps’ released by both sides, and social media news feeds. This yielded 10,567 unique violent events in the Donbas, at the municipality level, recorded between the departure of President Viktor Yanukovych in February 2014 and the second Minsk ceasefire agreement of February 2015. To determine territorial control, particularly whether a populated place was under rebel or government control on a given day, Zhukov used three sources: official daily situation maps publicly released by Ukraine’s National Security and Defense Council (RNBO), daily maps assembled by the pro-rebel bloggers ‘dragon_first_1’ and ‘kot_ivanov’, and Facebook posts on rebel checkpoint location.
To evaluate the relative explanatory power of ethnic and economic explanations of violence in the Donbas, the study uses Bayesian Model Averaging. It finds that a municipality’s prewar employment mix is a better predictor of rebel activity than local ethnolinguistic composition. Municipalities more exposed to trade shocks with Russia experienced a higher intensity of rebel violence throughout the conflict. Municipalities where machine-building represented a small share of local employment (2%, the lowest in the data) were 38% less likely to experience violence than municipalities where the industry was more dominant — and the local population more vulnerable to trade disruptions with Russia. Such localities also fell under rebel control earlier – and took longer for the government to liberate – than municipalities where the labor force was less dependent on exports to Russia. On any given day, a municipality with higher-than-average employment in the beleaguered machine-building industry (26%) was about twice as likely to fall under rebel control as a municipality with below-average employment in the industry (4%).
By contrast, ethnicity and language had no discernible impact on rebel violence. Municipalities with large Russian-speaking populations were more likely to fall under rebel control, but only where economic dependence on Russia was relatively low. In other words, ethnicity only had an effect where economic incentives for rebellion were weak.
The seemingly rational economic self-interest at the heart of the conflict stands in sharp contrast with the staggering costs of war. In the twelve months since armed men began storming government buildings in the Donbas, over 6000 people have lost their lives, and over a million have been displaced. Regional industrial production fell by 49.9% in 2014, with machinery exports to Russia down by 82%.Suffering heavy damage from shelling, many factories have closed. With airports destroyed, railroad links severed and roads heavily mined, a previously export-oriented economy has found itself isolated from the outside world.
2001 Ukrainian Census (State Committee on Statistics of Ukraine, 2001).
Bureau van Dijk’s Orbis database (Bureau van Dijk Electronic Publishing, 2015).
Segodnya, 2015. Ekonomika donetskoy oblasti v upadke iz-za voyny – gubernator kikhtenko. [Donetsk region’s economy in stagnation because of the war – Governor Kikhtenko]. Segodnya.
Stasenko, M., 2014. Novaya ekonomika ukrainy budet stroit’sya bez rossii i donbassa [Ukraine’s new economy will be built without Russia or the Donbas]. Delo.ua.
Post developed by Yioryos Nardis in coordination with Christian Davenport.
ICYMI (In Case You Missed It), the following work was presented at the 2015 Annual Meeting of the American Political Science Association (APSA). The presentation, titled “The Onset of Repressive Spells, 1976-2007,” was a part of the session “Genocide, Politicide, and Government Mass Killing” on Friday September 4th, 2015.
As state-sponsored repression and political violence continue to affect people’s lives across the world, the latest work of Department of Political Science Professor and Center for Political Studies faculty member Christian Davenport and Benjamin Appel, Assistant Professor of Political Science at Michigan State University, seeks to determine how it can be stopped.
Professors Davenport and Appel introduce a new framework where state repression is conceived and measured as a ‘spell’. That is, a sustained campaign of higher-level state sponsored repressive behavior such as imprisonment without trial, disappearances, and torture.
They turn their efforts to an examination of how to stop such large-scale systematic state repression once it is underway and which of the most common efforts used to end repressive spells are most successful: democratization, military interventions, economic sanctions, naming/shaming, international law and preferential trade agreements.
Using a unique dataset data containing 239 repression spells that produce a total of 2,527 observations (i.e., spell years) between 1976 and 2007, their work investigates what can stop the duration of a high-level repressive spell. Specifically, they focus on the probability that repression ends in a year, given that it has survived up to that year.
They find that large-scale state repression is unlikely to end unless the process producing the it is significantly impacted, which is more likely to result from democratization than from other common methods of curtailing state repression. In fact, a repression spell is 111% more likely to end when a state has recently democratized, usually within the last five years.
Democratization works directly through replacing decision-makers and fundamentally altering the way that they are selected and held accountable. Moreover, it indirectly encourages repressive governments to reduce repression by shifting the perception of popular accountability maintained by political actors.
Their results suggest that democratization is the only process that is consistently able to do stop large-scale repressive spells once underway. Additionally, democratic changes are prompted by non-violent direct action but these activities have no direct impact on spells themselves. In contrast, the international factors that are frequently highlighted in the media and among policy practitioners have essentially no impact on spell termination. These findings significantly challenge existing policies advocated by nations and NGOs around the world, calling for a re-evaluation of policies for stopping ongoing, large-scale state repression.
The real-world implications of these findings are critical and suggest that to stop state repressions external political actors including policymakers, activists, and academics should pay more attention to a “bottom-up” approach, including supporting and facilitating democratic transitions, as well as backing nonviolent movements. Military interventions and economic sanctions are not likely to yield successful results.
Written by William Foreman for Global Michigan. Reblogged here with permission.
Pro-Russian militants in Eastern Ukraine. (Credit: VOA)
As the conflict grinds on in Ukraine, there are more questions about Russia’s intentions, the effectiveness of sanctions and what the West can do to end the fighting. These issues were discussed in a Global Michigan interview with Yuri Zhukov.
Zhukov is an assistant professor of political science at the University of Michigan and a faculty associate at the Center for Political Studies. His expertise is in international and civil conflicts.
The scholar has several projects ongoing on the fighting in East Ukraine. He’s interested in rebel movements in the region, the economics behind the conflict, military operations and the “information war” in the Russian and Ukrainian media. He recently wrote a piece for Foreign Affairs.
What is Russia up to now?
Zhukov: Last week, NATO accused Russia of sending tanks and artillery into Ukraine, and the Organization for Security and Co-operation in Europe reported seeing a column of unmarked military trucks heading toward Donetsk. Russia denies these claims, and accuses Ukraine of concentrating its own forces near the front line. In fact, both sides of the conflict have been steadily ratcheting up tensions since elections this fall, in government and separatist-controlled areas of Ukraine. The outcome in each election simply reinforced the status quo, but both sides may now feel they have a stronger mandate to take bold steps.
Are the reported troop movements into Ukraine part of a plan to create a land bridge with Crimea or annex more of the country?
Zhukov: These troop movements are not large enough to take significant territory outside rebel-held areas in Donetsk and Luhansk. They are more likely reinforcements for rebel units fighting in Donetsk airport and other contested areas and a deterrent against sudden moves by Ukraine.
Are the sanctions helping or hurting Russian President Vladimir Putin?
Zhukov: In the short term, the sanctions may have created a “rally-around-the-flag” effect, which boosts Putin’s domestic popularity. But historically, Putin has owed much of his popularity to perceptions of sound economic management. Russian consumers are seeing higher food prices, and the ruble has lost over a third of its value since the crisis began. Putin’s poll numbers are still high, but beginning to fall.
If the fighting escalates, should the U.S. and EU provide arms to Ukraine?
Zhukov: Some countries have already provided military aid, on a bilateral basis, most of it nonlethal. The larger question is whether Western military aid can actually change the military balance of power on the ground. Russia will surely see such a policy as a major provocation and will respond in kind. This could trigger an arms race along the lines we have seen in Syria, with increasing flows of weapons and fighters to both sides. This is also a commitment that the West would need to sustain for some time. Major military aid may deter rebels from taking more ground but is unlikely to reverse existing rebel gains in the near future.
Should there be more sanctions?
Zhukov: It depends. Some types of sanctions—like freezing the assets of wealthy Russians in Europe—actually align with Putin’s policy goal of “de-offshorization.” Anything that makes it more difficult for powerful Russians to park their money abroad is a win for Putin. Some of the new measures currently on the table—like blocking Russian banks and businesses from the SWIFT financial transaction system—will have bigger impact.
Sanctions can and are already hurting Russia’s economy. Whether they can also change the course of the Ukrainian conflict is a different matter. There is no “magic switch” that Putin can press to stop the fighting. The rebel high command has been replaced by a cadre of more professional, manageable leaders, but the rebellion as a whole is still a diverse, fractious lot. Many rival militias are looking to carve a place for themselves in the new “Peoples’ Republics,” and quite a few locals feel betrayed that Russia did not intervene more forcefully. Sanctions are unlikely to change the decision calculus of these actors.
What more can the West do?
Zhukov: The West has limited options, and many of them—like military aid, alliance commitments to Ukraine, even sanctions—are more likely to escalate the conflict than stop it. Russia has made clear that it is ready to intervene if the tide of the war turns decisively against the rebels—as it did, temporarily, in August this year. Any future steps—in Kyiv or the West—will take place against the background of this latent threat of force. What’s worse, the terms of the current ceasefire agreement are suboptimal for all parties. Rebel leaders want to eliminate pockets of government forces and create a more contiguous, governable territory. The Ukrainian president is under pressure from hard line elements in the government to take bolder action. The best course of action for the U.S. is to tread carefully, and do everything possible to restrain both sides.