1,720,974 research outputs found
Wordless wisdom: the dominant role of tacit knowledge in true and fake news discrimination
In this preregistered study, we investigated the type of knowledge people use to discriminate between true and fake news by asking participants (N = 327 Prolific users residing in the United States) to rate the veracity of different news headlines and indicate what decision strategy they used to make each rating (guess, intuition, familiarity, prior knowledge, rule, or other). We found that participants discriminated well between true and fake news headlines, and predominantly chose decision strategies that suggested they were using tacit knowledge (knowledge that is not easily articulated) rather than explicit knowledge (knowledge that is easily articulated). For example, guess and intuition were chosen 63% of the time, and participants’ discrimination was good even when they claimed to be guessing. The fact that tacit knowledge formed the dominant basis of participants’ discriminative ability speaks to the types of interventions that may be successful in improving this skill
Effects of inductive learning and gamification on news veracity discernment
This pre-registered study tests a novel psychological intervention to improve news veracity discernment. The main intervention involved inductive learning (IL) training (i.e., practice discriminating between multiple true and fake news exemplars with feedback) with or without gamification. Participants (N = 282 Prolific users) were randomly assigned to either a gamified IL intervention, a non-gamified version of the same IL intervention, a no-treatment control group, or a Bad News intervention, a notable web-based game designed to tackle online misinformation. Following the intervention (if applicable), all participants rated the veracity of a novel set of news headlines. We hypothesized that the gamified intervention would be the most effective for improving news veracity discernment, followed by its non-gamified equivalent, then Bad News, and finally the control group. The results were analyzed with receiver operating characteristic curve analyses, which has previously never been applied to news veracity discernment. The analyses indicated that there were no significant differences between conditions and the Bayes factor indicated very strong evidence for the null. This finding raises questions about the effectiveness of current psychological interventions and contradicts prior research that has supported the efficacy of Bad News. Age, gender, and political leaning all predicted news veracity discernment
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
“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
We 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
We 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
We 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
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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