1,721,003 research outputs found
Replication Data for: From Masks to Mismanagement: A Global Assessment of the Rise and Fall of Pandemic-Related Protests
No full textReplication data for the article “From Masks to Mismanagement: A Global Assessment of the Rise and Fall of Pandemic-Related Protests” by Sebastian Hellmeier forthcoming in Research & Politics.
For questions about the replication material, please reach out to [email protected]
Replication Data for: Regime Transformation From Below: Mobilization for Democracy and Autocracy From 1900 to 2021
No full textMass mobilization is an important driver of political change. While some citizens organize in favor of more democratic institutions, others take to the streets to support an authoritarian status quo. This article introduces measures of pro-democratic and pro-autocratic mass mobilization using expert assessments for 179 polities from 1900-2021. The data allow us to trace patterns in mass mobilization over time, across regions and regime types. We use this new data to systematically analyze the relationship between both types of mobilization and regime change. We confirm the findings of the literature on contentious democratic politics, and our analysis of autocratic mobilization allows us to make sense of the controversy in the literature on ``bad actors'' in civil society. We show that mass mobilization in favor of autocracy negatively affects democracy, making a case for the necessity of specifying the goals of the actors involved in contentious politics to more precisely understand their impact.
The dataverse includes all data and code to reproduce all results in the main text and the appendix. Additional information on data preparation can be obtained from the authors upon request
Replication Data for: Thin-skinned Leaders: Regime Legitimation, Protest Issues and Repression in Autocracies
No full textThe literature on autocracies has argued that repression of protest is either a result of the political environment in which protest occurs or depends on particular characteristics of the protest events themselves. We argue that the interaction of both matters. Authoritarian regimes vary in how they legitimize their rule, and they should be particularly thin-skinned if protesters challenge the basis of their legitimacy. Using event-level data on mass mobilization in autocracies between 2003 and 2015, we use text classification methods to extract protest issues from newspaper reports. Our analysis shows that dictators are more likely to repress protest against incumbents when they claim legitimacy based on the person of the leader. Overall, our study shows that protest issues are not universal in triggering repression; rather, they need to be considered together with the political context in which they are raised
Replication Data for: "The Long Arm and the Iron Fist: Authoritarian Crackdowns and Transnational Repression"
No full textReproduction material for "The Long Arm and the Iron Fist: Authoritarian Crackdowns and Transnational Repression" forthcoming in the Journal of Conflict Resolution with Alexander Dukalskis, Saipira Furstenberg and Redmond Scales
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
- …
