162 research outputs found
CimpleKG: A continuously updated knowledge graph on misinformation, factors and fact-checks
No full textWhat do African Citizens of Different Income Levels think of Chinese Investment? 2015-2019 A study of three countries in Africa
Full text linkThis study focused on determining the relationship between occupation, education and perception on Chinese investment in Kenya, Senegal and Nigeria.
It used a combination of qualitative and quantitative research to determine conclusions. The qualitative research focused on interviews and personal one on one interactions with Africans. The author used publicly available Afrobarometer data for the quantitative study.
The results of the study indicate that there is a correlation between occupation and perception on Chinese influence for all three countries. However, there was no conclusive evidence that there was correlation between education and perception of Chinese influence.
Readers for this text are: Dr. Lewis, Dr. Cheon and Mr. Gregoire
“Insights in Contemporary Franco-America in Rhea Côté-Robins and Gregoire Chabot: Reevaluating Memory, Identity and Place"
No full textInternational audienceDr. Peggy Pacini’s paper “Insights into Contemporary Franco-America in Rhéa Côté-Robbins and Gregoire Chabot: Reevaluating Memory, Identity and Place” extends the discussion of Franco-American identity-formation and the role of a specific place (Maine) in this act by examining the paratexts of two contemporary Franco-American writers from Maine, Rhea Côté-Robbins and Gregoire Chabot. Pacini explores how each author has tried to create “a newer and more appropriate” identity, neither Franco nor American, but Franco-American from Maine. While it may be true that Côté-Robbins and Chabot have, through their writing, found their unique voices and a way to tell their unique stories, their works always start from memory, collective and personal, deeply rooted in place and time either to achieve piecing together a fragmented identity for the former, or interrogating it for the latter
Sacrifice in the Eucharist in the texts of the fathers from the New Testament to the council of Chalcedon
Full text linkThis thesis examines the evidence for the notion of Eucharistic Sacrifice which is found in the original texts of all the principal Fathers and ecclesiastical authors of the Early Church. The period covered is from the time of the writing of the New Testament to the Council of Chalcedon in 451 A.D. Each of the principal Fathers is examined in historical order, as far as this is possible, except when there is another link between them such as their city of origin. Apart from a few exceptions, the texts are presented in their Greek or Latin original in the footnotes, but an English translation is supplied for every case in the main text of the thesis. The aim of the thesis is not to provide an exhaustive analysis of the above data, but to present them in an orderly way and to make initial exploratory comments on the texts themselves and of the work of various scholars. The final conclusion resulting from this exercise is that, although there is indisputable evidence that the notion of Eucharistic sacrifice was widely upheld by Patristic authors, its actual content varied from author to author and presents a richness which it is not easy to classify
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Community and Thread Methods for Identifying Best Answers in Online Question Answering Communities
Full text linkMuch research has recently investigated the measurement of quality answers in Question Answering (Q&A) communities in the form of automatic best answer identification. Previous approaches have focused on manual user annotations and diverse features based on intuition for identifying best answers and proved relatively successful despite considering best answer identification as a general classification problem.
Best answer modelling is generally distanced from community studies about what users regard as important for identifying quality content. In particular, previous research tends to only focus on the automatic aspects of best answers identification model by applying generic learning algorithms.
This thesis introduces the concepts of qualitative and structural design in order to investigate if features derived from community questionnaires can enrich the understanding of best answer identification in Q&A communities and if the thread-like structure of Q&A communities can be exploited for better results. Two different approaches for exploiting the thread structure of Q&A communities are proposed and two new, previously unstudied, features are introduced. First, a measure of question complexity is introduced as a proxy measure of answerer knowledge. Second, different models of contribution effort are proposed for representing the answering reactivity of contributors.
The experiments are systematically conducted on datasets issued from three different communities that vary in size, content and structure. The results show that the newly proposed features allow for better understanding of what constitute best answers. The findings also reveal that the thread-wise algorithms and optimisation techniques created from the structural design methodology correlate with best answers. In general both structural and qualitative design appear to improve best answer identification meaning that structural and qualitative methods may improve unrelated classification tasks
Quantising contribution effort in online communities
No full textWe describe the Joint Effort-Topic (JET) model and the Author Joint Effort-Topic (aJET) model that estimate the effort required for users to contribute on different topics. We propose to learn word-level effort taking into account term preference over time and use it to set the priors of our models. Since there is no gold standard which can be easily built, we evaluate them by measuring their abilities to validate expected behaviours such as correlations between user contributions and the associated effort
Knowledge Sharing in E-Collaboration
No full textInternational audienceFor eCollaboration to be e ective, especially where it at- tempts to promote true collective decision-making, it is necessary to consider how knowledge is shared. The paper examines the knowledge sharing literature from the perspective of eCollaboration and discusses the critical challenges, principally the motivation of knowledge sources and maintenance of semantics, and describes how techniques and tech- nologies can be employed to alleviate the di culties. The paper con- cludes with an example of how such technologies are being applied for Emergency Response, to facilitate knowledge sharing both amongst the citizens and between the citizens and organisations
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Crisis Event Extraction Service (CREES) - Automatic Detection and Classification of Crisis-related Content on Social Media
Full text linkSocial media posts tend to provide valuable reports during crises. However, this information can be hidden in large amounts of unrelated documents. Providing tools that automatically identify relevant posts, event types (e.g., hurricane, floods, etc.) and information categories (e.g., reports on affected individuals, donations and volunteering, etc.) in social media posts is vital for their efficient handling and consumption. We introduce the Crisis Event Extraction Service (CREES), an open-source web API that automatically classifies posts during crisis situations. The API provides annotations for crisis-related documents, event types and information categories through an easily deployable and accessible web API that can be integrated into multiple platform and tools. The annotation service is backed by Convolutional Neural Networks (CNNs) and validated against traditional machine learning models. Results show that the CNN-based API results can be relied upon when dealing with specific crises with the benefits associated with the usage word embeddings
Corps et souffrance familiale
No full textOnt participé à ce numéro : Nelly ACCARD - Marianne BAUDIN - Rose angelique BELOT - Alexandra BERNARD - Gregoire BUREL - Vincent CORNALBA - Patrice CUYNET - Didier DRIEU - Monique DUPRE LA TOUR - Noemie GIRARD - Caroline GORLERO - Tevfika IKIZ - Alexia JACQUES - Jean-francois LE GOFF - Sylvie LEMOIGNIE - Marie LESIEUR - Sonia OKOME ASSOUME - Nadine PROIA-LELOUEY - Delphine PUISSANT - Ouriel ROSENBLUM - Valerie ROUSSELON - Almudena SANAHUJA - Aubeline VINAYSi les troubles psychosomatiques sont maintenant bien reconnus, leur dimension intersubjective insiste sur une économie psychique spécifique au groupe familial. Ainsi, bien que s'inscrivant dans un corps malade, les somatisations peuvent être les conséquences d'une faillite du pare-excitation et d'une confusion des places dans la famille. Face à la violence de la désintrication, comment travailler cette souffrance psychique à l'œuvre ? Ce numéro porte à la fois sur les enjeux de cette souffrance familiale comme sur les dispositifs thérapeutiques que nous pouvons mettre en place pour que puissent se jouer les conditions d'une ré-intrication pulsionnelle..
A question of complexity - measuring the maturity of online enquiry communities
No full textOnline enquiry communities such as Question Answering (Q&A) websites allow people to seek answers to all kind of questions. With the growing popularity of such platforms, it is important for community managers to constantly monitor the performance of their communities. Although different metrics have been proposed for tracking the evolution of such communities, maturity, the process in which communities become more topic proficient over time, has been largely ignored despite its potential to help in identifying robust communities. In this paper, we interpret community maturity as the proportion of complex questions in a community at a given time. We use the Server Fault (SF) community, a Question Answering (Q&A) community of system administrators, as our case study and perform analysis on question complexity, the level of expertise required to answer a question. We show that question complexity depends on both the length of involvement and the level of contributions of the users who post questions within their community. We extract features relating to askers, answerers, questions and answers, and analyse which features are strongly correlated with question complexity. Although our findings highlight the difficulty of automatically identifying question complexity, we found that complexity is more influenced by both the topical focus and the length of community involvement of askers. Following the identification of question complexity, we define a measure of maturity and analyse the evolution of different topical communities. Our results show that different topical communities show different maturity patterns. Some communities show a high maturity at the beginning while others exhibit slow maturity rate
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