Storytelling in den Vereinten Nationen: Mahbub ul Haq und menschliche Entwicklung

Ausgehend von der Beobachtung, dass Mitarbeiter der Vereinten Nationen eine wichtige Rolle in Prozessen des ideellen Wandels auf internationaler Ebene spielen können, beschäftigt sich dieser Beitrag mit einer bestimmten Form individuellem Einflusses – dem storytelling. Mein Verständnis von storytelling als Einflusstaktik kombiniert dabei kollektive Elemente der soziologischen Praxistheorie mit den reflexiven, akteursbezogenen Überlegungen von Michel de Certeau. Ich analysiere storytelling anhand von drei analytischen Elementen: einem (chronologischen) Plot, einer Reihe von Charakteren und einem interpretativen Thema – die jeweils ihre Wirkung im Zusammenspiel mit der Subjektivität ihres storytellers entfalten. Ich illustriere diese theoretischen Überlegungen mit dem Fall von Mahbub ul Haq, dem es als Sonderberater des United Nations Development Programme (UNDP)-Administrators zu Beginn der 1990er Jahre gelungen ist, die Idee der menschlichen Entwicklung im System der Vereinten Nationen und der internationalen Entwicklungspolitik zu etablieren

A Weakly Supervised and Deep Learning Method for an Additive Topic Analysis of Large Corpora

The collaborative effort of a theory-driven content analysis can benefit significantly from the use of topic analysis methods, which allow researchers to add more categories while developing or testing a theory. Additivity also enables the reuse of previous efforts or the merging of separate research projects, thereby increasing the accessibility of such methods and the ability of the discipline to create shareable content analysis capabilities. This paper proposes a weakly supervised topic analysis method, which combines a low-cost unsupervised method to compile a training-set and supervised deep learning as an additive and accurate text classification method. We test the validity of the method, specifically its additivity, by comparing the results of the method after adding 200 categories to an initial number of 450. We show that the suggested method is a solid starting point for a low-cost and additive solution for a large-scale topic analysis

Role-based association of verbs, actions, and sentiments with entities in political discourse

A crucial challenge in measuring how text represents an entity is the need to associate each representative expression with a relevant entity to generate meaningful results. Common solutions to this problem are usually based on proximity methods that require a large corpus to reach reasonable levels of accuracy. We show how such methods for the association between an entity and a representation yield a high percentage of false positives at the expression level and low validity at the document level. We introduce a solution that combines syntactic parsing, semantic role labeling logic, and a machine learning approach—the role-based association method. To test our method, we compared it with prevalent methods of association on the news coverage of two entities of interest—the State of Israel and the Palestinian Authority. We found that the role-based association method is more accurate at the expression and the document levels

Clause analysis:Using syntactic information to automatically extract source, subject, and predicate from texts with an application to the 2008-2009 Gaza War

This article presents a new method and open source R package that uses syntactic information to automatically extract source-subject-predicate clauses. This improves on frequency-based text analysis methods by dividing text into predicates with an identified subject and optional source, extracting the statements and actions of (political) actors as mentioned in the text. The content of these predicates can be analyzed using existing frequency-based methods, allowing for the analysis of actions, issue positions and framing by different actors within a single text. We showthat a small set of syntactic patterns can extract clauses and identify quotes with good accuracy, significantly outperforming a baseline system based on word order. Taking the 2008-2009 Gaza war as an example, we further show how corpus comparison and semantic network analysis applied to the results of the clause analysis can show differences in citation and framing patterns between U.S. and English-language Chinese coverage of this war

ADHD and political participation: An observational study.

Background and objectiveOver the past decade, researchers have been seeking to understand the consequences of adult attention-deficit/hyperactivity disorder (ADHD) for different types of everyday behaviors. In this study, we investigated the associations between ADHD and political participation and attitudes, as ADHD may impede their active participation in the polity.MethodsThis observational study used data from an online panel studying the adult Jewish population in Israel, collected prior the national elections of April 2019 (N = 1369). ADHD symptoms were assessed using the 6-item Adult ADHD Self-Report (ASRS-6). Political participation (traditional and digital), news consumption habits, and attitudinal measures were assessed using structured questionnaires. Multivariate linear regression analyses were conducted to analyze the association between ADHD symptoms (ASRS score Results200 respondents (14.6%) screened positive for ADHD based on the ASRS-6. Our findings show that individuals with ADHD are more likely to participate in politics than individuals without ADHD symptoms (B = 0.303, SE = 0.10, p = .003). However, participants with ADHD are more likely to be passive consumers of news, waiting for current political news to reach them instead of actively searching for it (B = 0.172, SE = 0.60, p = .004). They are also more prone to support the idea of silencing other opinions (B = 0.226, SE = 0.10, p = .029). The findings hold when controlling for age, sex, level of education, income, political orientation, religiosity, and stimulant therapy for ADHD symptoms.ConclusionsOverall, we find evidence that individuals with ADHD display a unique pattern of political activity, including greater participation and less tolerance of others' views, but not necessarily showing greater active interest in politics. Our findings add to a growing body of literature that examines the impact of ADHD on different types of everyday behaviors

ADHD and political participation: An observational study

Background and objective Over the past decade, researchers have been seeking to understand the consequences of adult attention-deficit/hyperactivity disorder (ADHD) for different types of everyday behaviors. In this study, we investigated the associations between ADHD and political participation and attitudes, as ADHD may impede their active participation in the polity. Methods This observational study used data from an online panel studying the adult Jewish population in Israel, collected prior the national elections of April 2019 (N = 1369). ADHD symptoms were assessed using the 6-item Adult ADHD Self-Report (ASRS-6). Political participation (traditional and digital), news consumption habits, and attitudinal measures were assessed using structured questionnaires. Multivariate linear regression analyses were conducted to analyze the association between ADHD symptoms (ASRS score Results 200 respondents (14.6%) screened positive for ADHD based on the ASRS-6. Our findings show that individuals with ADHD are more likely to participate in politics than individuals without ADHD symptoms (B = 0.303, SE = 0.10, p = .003). However, participants with ADHD are more likely to be passive consumers of news, waiting for current political news to reach them instead of actively searching for it (B = 0.172, SE = 0.60, p = .004). They are also more prone to support the idea of silencing other opinions (B = 0.226, SE = 0.10, p = .029). The findings hold when controlling for age, sex, level of education, income, political orientation, religiosity, and stimulant therapy for ADHD symptoms. Conclusions Overall, we find evidence that individuals with ADHD display a unique pattern of political activity, including greater participation and less tolerance of others’ views, but not necessarily showing greater active interest in politics. Our findings add to a growing body of literature that examines the impact of ADHD on different types of everyday behaviors

Story incentive:The effect of national stories on voter turnout

This article contends that an important driver of turnout is the national stories embraced by citizens. We suggest the notion of ‘story incentive,’ whereby adopting a group’s story components – those that connect the past, the future, and prominent national characters – motivates individuals to participate in that group’s political activities. Leaning on narrative theories and studies on voter turnout, we develop and test hypotheses regarding the effect of story components on the likelihood of voting. Our measurements of story incentives are based on election surveys and encompass Denmark, Israel, the Netherlands, the UK, and the US. The results support the main story-incentive hypothesis. We discuss the theoretical ramifications of the connection between adherence to national stories and voter turnout