CorText Manager around the world

@online{Gauld2019b,
title = {Mining big data about representations of autism spectrum disorder : a comparison from Twitter to PubMed, a TwiMed proof-of-concept},
author = {Christophe Gauld},
url = {https://www.researchgate.net/publication/337289960_Mining_big_data_about_representations_of_autism_spectrum_disorder_a_comparison_from_Twitter_to_PubMed_a_TwiMed_proof-of-concept},
doi = {10.13140/RG.2.2.20575.61604},
year = {2019},
date = {2019-11-15},
abstract = {Aim: Twitter is the most commonly used social media forum in public health and is considered the radio of the internet. Many health providers utilize this media to disseminate health information. Patient use of social media for mental health topics encourages providers to disseminate quality information and to develop virtual collaborative learning environments. Such social media could also be seen as a reflection of a trend towards folk psychology. This study explored trends in health information exchanged by users of Twitter, a broad social media, through analyses of tweets about Autism Spectrum Disorder (ASD). This proxy of trends in folk psychology could be compared semantically with the corpus derived from biomedical research. Methods: At first, we conducted a text-mining analysis with a sample of 10,000 tweets posted using #autism, by a text-mining method. We built a network of words in order to extract the main dimensions about these data (Latent Dirichlet Analysis). Second, we performed a geocoding analysis to create a Twitter maps of social media tweet and checked the regularity of tweets in the short and medium term. In parallel, we performed a text-mining analysis using the platform PubMed with the term « autis* », and we built networks of words. For each of them, we extracted the main dimensions from the terms. Results: We were able to retrieve 121,556 terms related to the term #autism. Most tweets focus on five dimensions: (1) Education, (2) Childhood, (3) Environment/Relatives, (4) Techniques/Sciences and (5) Support. Concerning the most researched topics in the biomedical research, on 49,021 publications, we found four dimensions: (I) Clinical/Neuropsychology/Psychometry, (II) Behavioral/Language aspects, (III) Neuroscience/Neurogenetics/Neuropharmacology, (IV) Comorbidities. Conclusion: Results suggest thematics about ASD disseminated between a social media and a biomedical database are really different. Health providers are encouraged to establish a presence on social media to learn about representations, share scholarly work or just exchange information with patients and relatives concerned by ASD.},
keywords = {},
pubstate = {published},
tppubtype = {online}
}

@online{Hasselbalch2019,
title = {Mapping Controversy: vaccine controversies},
author = {Marie Hasselbalch and Trine Christensen Mayntzhusen},
url = {https://medium.com/mapping-controversy-vaccine-controversies/mapping-controversy-vaccine-controversies-vaccine-hesitancy-1-hand-in-39c761aefa80},
year = {2019},
date = {2019-02-15},
urldate = {2019-03-05},
journal = {Medium},
abstract = {The controversy on vaccines is a controversy because of its embedded value based, ethical and cultural arguments (Law, J. & Singleton, V., 2014). The key issues include both scientific discussions on whether or not scientific results are valid, more specifically an example of the controversy of the Mumps, Measles and Rubella vaccine (MMR) and its relation to cause autism in children. As well as dissemination of specific arguments for or against vaccines from a broad perspective. The nuances of vaccine controversies are not only revolving around the bilateral relation of pro- and anti-vaccination, because the controversy exists of many sub-controversies and subdiscussions. This shows a controversy of high complexity and being reduction-resistant (Venturini, T., 2010a).
(Vaccine hesitancy, 2018). This controversy is mapped through an actor-network theory (ANT) approach; thus an actor is whatever makes a difference through action in a situation, human or non-human (Venturini, T., 2010a). An example of a significant actor in this specific controversy could be Andrew Wakefield, an anti-vaccine activist and former British doctor, who has had a great impact on the issue about vaccine hesitancy and connection between MMR and autism.
The first part of this article will revolve around data harvesting of a Wikipedia category and the member pages, and different networks and visualisations of these with annotations. The second half will focus on how debates on a social media platform communicate about vaccine controversies, here specifically Reddit. We would like to map how different networks occur in the vaccine controversy debate. Besides, explore the key issues and actors in the debate on vaccine controversies on both Wikipedia’s category pages (under ‘Vaccine Controversies’) and Reddit as a social media platform.},
keywords = {},
pubstate = {published},
tppubtype = {online}
}

@online{Thorsen2019,
title = {Mapping Controversies: Abortion Debate (Wikipedia & arenas for debate)},
author = {Ann-Sofie Thorsen and Jeppe Kamstrup and Rasmus de Neergaard and Johannes van den Heuvel.},
url = {https://towardsdatascience.com/mapping-controversies-abortion-debate-7235029fc6d9},
year = {2019},
date = {2019-02-15},
urldate = {2019-03-05},
journal = {Medium},
series = {Towards Data Sciences},
abstract = {The discussion surrounding this subject is one that has been around since the act of abortion became a possibility. While it is often easy to find the controversy outside in the real world, we went to Wikipedia to investigate how an online encyclopaedia that pursues neutrality would present it. Through the use of digital methods and harvesting online data we investigate how the abortion debate unfolds itself in the arena of Wikipedia. Our finding perhaps shows us more about how Wikipedia and the Anglo-American world functions when it tries to settle controversial topics in society.},
keywords = {},
pubstate = {published},
tppubtype = {online}
}

@online{Bento2018,
title = {Legitimation and Guidance in Energy Technology Upscaling – The Case of Floating Offshore Wind},
author = {Nuno Bento and Margarida Fontes},
url = {http://documents.manchester.ac.uk/display.aspx?DocID=37431},
year = {2018},
date = {2018-04-02},
abstract = {This research studies the role of the formation of collective visions and plans in accelerating the upscaling of emerging low-carbon innovations. We analyze the national roadmaps that have been developed for offshore wind energy in deepwaters, i.e., more than 50 meters deep where there is high potential of resources but whose technology is still immature. The analysis focus on how actors create legitimacy and guidance to prepare the growth of the system. The results points to different types of guidance depending on the technological and institutional context, particularly a higher external openness with technology maturity and government involvement. A survey of actors’ opinion complements the roadmaps analysis revealing the tendency for overinflatingexpectations. In addition, it suggestsroadmaps have a positive but limited impact on technology development. Policy implications include recommendations for managing the process of formation of visions and legitimacy of new technologies entering into upscaling.},
note = {see published article : https://doi.org/10.1016/j.rser.2018.09.035},
keywords = {},
pubstate = {published},
tppubtype = {online}
}

@online{Emambakhsh2018,
title = {From Hollywood to Bollywood, the rise of the #metoo movement in the Indian Twitter sphere},
author = {Emambakhsh, T. and Da Fonseca Andreatta, B. and Pan, C. and Rico, S.},
editor = {Medialab Science Po},
url = {https://fonio.medialab.sciences-po.fr/thinkdolphin/read/4004953c-4796-4a64-bbf9-962179684086?lang=en},
year = {2018},
date = {2018-01-01},
keywords = {},
pubstate = {published},
tppubtype = {online}
}

@online{Popille2017,
title = {La communication politique sur Instagram Étude des candidats à l’élection présidentielle de 2017},
author = {Ophélie Popille},
url = {https://opheliepopille.files.wordpress.com/2017/07/mecc81moire.pdf},
year = {2017},
date = {2017-07-11},
organization = {Master 2 NUMérique et Innovation (NUMI), Université Paris-Est Marne-la-Vallée},
abstract = {Les réseaux sociaux prennent de plus en plus de place dans la communication politique, notamment en période électorale. Parallèlement, ces nouveaux moyens de communication peuvent bouleverser l’image publique des personnalités politiques. C’est pourquoi ce papier cherche à savoir de quelle manière s’établit la communication politique sur Instagram, qui combine à la fois l’image et le texte. Cela permettra ainsi de percevoir s’il existe ou non des divergences en fonction de la couleur politique des personnalités ou des points communs entre les comptes. Les analyses porteront sur les images postées, mais aussi les textes publiés pour les accompagner. L’étude se penche sur les comptes Instagram de candidats à l’élection présidentielle de 2017 qui détiennent un compte sur le réseau social : Nicolas Dupont-Aignan, Jean Lassalle, Marine Le Pen, François Fillon, Benoît Hamon, Emmanuel Macron et enfin, Jean-Luc Mélenchon.},
keywords = {},
pubstate = {published},
tppubtype = {online}
}

@online{Marín2017,
title = {La participación ciudadana desde las redes sociales: Plaza de España},
author = {Villalba Marín, Iván},
url = {https://issuu.com/ivanvillalbam/docs/tfg_ivanvillalba},
year = {2017},
date = {2017-06-05},
organization = {Universidad Rey Juan Carlos},
abstract = {Estudio de datos georreferenciados extraídos de redes sociales como método complementario al análisis urbanístico tradicional y a las técnicas de la sociología urbana, utilizadas en participación ciudadana, para la optimización del planeamiento urbanístico. Este trabajo pretende desarrollar métodos para la caracterización de entornos urbanos y la identificación de elementos de interés mediante la exploración de las herramientas disponibles para la gestión y visualización de Big Data, que permiten el acercamiento de la minería de realidad a usuarios no expertos. Estos métodos alternativos son puestos en práctica para la evaluación de la información socio-espacial obtenida y su posterior comparación con los datos extraídos mediante herramientas tradicionales durante el proceso de consulta para la remodelación de la Plaza de España de Madrid.},
keywords = {},
pubstate = {published},
tppubtype = {online}
}

@online{Salatino​2016,
title = {How are topics born? Understanding the research dynamics preceding the emergence of new areas},
author = {Angelo A Salatino​ and Francesco Osborne and Enrico Motta},
url = {https://doi.org/10.7717/peerj-cs.119},
year = {2017},
date = {2017-01-01},
journal = {PeerJ Computer Science},
abstract = {The ability to promptly recognise new research trends is strategic for many stakeholders, including universities, institutional funding bodies, academic publishers and companies. While the literature describes several approaches which aim to identify the emergence of new research topics early in their lifecycle, these rely on the assumption that the topic in question is already associated with a number of publications and consistently referred to by a community of researchers. Hence, detecting the emergence of a new research area at an embryonic stage, i.e., before the topic has been consistently labelled by a community of researchers and associated with a number of publications, is still an open challenge. In this paper, we begin to address this challenge by performing a study of the dynamics preceding the creation of new topics. This study indicates that the emergence of a new topic is anticipated by a significant increase in the pace of collaboration between relevant research areas, which can be seen as the ‘parents’ of the new topic. These initial findings (i) confirm our hypothesis that it is possible in principle to detect the emergence of a new topic at the embryonic stage, (ii) provide new empirical evidence supporting relevant theories in Philosophy of Science, and also (iii) suggest that new topics tend to emerge in an environment in which weakly interconnected research areas begin to cross-fertilise.},
keywords = {},
pubstate = {published},
tppubtype = {online}
}