1,720,968 research outputs found
Replication Data for: Information avoidance in a polarized society
No full textReplication data, oTree and R code for the paper 'Information avoidance in a polarized society
Unintended consequences of corruption indices: an experimental approach
Full text linkUsing the results of a large-scale (N=900) online experiment, this paper investigates how the information about a group corruption level may harm intergroup relations. Corruption indices are widely used as a measure of quality of governance. But in addition to be a valuable tool for investors and policy makers for making informed decisions, they may also result in statistical discrimination: people from a more ‘corrupt’ region may be perceived as less trustworthy or more inclined to dishonest behavior.
We manipulated the amount of information people have about three different Russian regions in two simple behavioral games (‘Cheating game’ and Trust game). In a Cheating game after the main stage where they report whether they observed a head or a tail on a flipped coin, they guessed how many participants in each of the three regions reported more personally profitable outcome (heads) as well as make trasfer decisions in a standard trust game. In the baseline treatment we provided them with a set of generic information about each region (such as population size), while in the main treatment they were additionally informed about the degree of perceived corruption in each region. The presence of corruption information made people substantially overestimate the degree of dishonesty in more ‘corrupt’ regions and decreased the trust towards a person from this region. The results demonstrate the potentially harmful unintended consequences of corruption indices that have to be taken into account by policy makers
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
Unintended consequences of corruption indices
Full text linkUsing the results of a pre-registered online experiment, this paper examines how information about a corruption in a group can affect intergroup relations. Corruption indices are not only a valuable tool for investors and policymakers to make informed decisions, but can also lead to statistical discrimination: Individuals from a more "corrupt" region may be perceived as less trustworthy or more prone to dishonest behavior.
To test this hypothesis, we manipulated the amount of information participants had about their potential partners' regions of origin and asked them to (a) estimate the proportion of participants in each region who report a more profitable outcome in a coin toss game and (b) transfer money to a partner in each region in a trust game. The presence of a regional corruption index led participants to significantly overestimate the degree of dishonesty by participants from more corrupt regions and to reduce trust towards them. The results show how corruption indices can be a source of statistical discrimination against outgroups despite the well-meaning intentions of their creators
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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