CorText Manager around the world

@mastersthesis{Béchet2021,

title = {#IamNotaVirus: text mining analysis of the blame phenomenon and anti-asian racism on Twitter amid the Covid-19 pandemic Observation of the narrative diversity generated by hashtag activism in France},

author = {Nathalie Béchet},

url = {https://www.researchgate.net/publication/349883313_IamNotaVirus_text_mining_analysis_of_the_blame_phenomenon_and_anti-asian_racism_on_Twitter_amid_the_Covid-19_pandemic_Observation_of_the_narrative_diversity_generated_by_hashtag_activism_in_France},

doi = {http://dx.doi.org/10.13140/RG.2.2.14680.21761},

year  = {2021},

date = {2021-05-01},

abstract = {The hashtag #JeNeSuisPasUnVirus (#IamNotAVirus) was coined in January 2020 during the outbreak of coronavirus (COVID-19) in China as anti-Asian racist incidents gained visibility nourished by the idea that if the pandemic originated in Asia, Asian people were infected and responsible for the spread of the virus. This hashtag reached a peak on January 28th before decreasing, following the shifting curve of the blame phenomenon (Atlani-Duault et al., 2020). Certainly anti-Asian racism is not a new phenomenon, but the Covid-19 pandemic came as an enhancer for xenophobic acts and hate speeches. As Asian communities informally got together online via hashtag activism to denounce persecutions they face, we could observe how the recurring blame process amid health crises, has been worded around ethnic and cultural stigmata. The many comparisons Twitter users from our corpus tended to make with anti-Muslim sentiments in France showed just how the phenomenon at stake here is the one of using a nation's minorities as a scapegoat for local issues. This 2020 epidemic and its associated Twitter hashtag #JeNeSuisPasUnVirus, are just a salience that ought to be grasped by researchers to scrutinize the plurality of narratives around anti-Asian racism and observe how the blame phenomenon works. The present study aims to do so by applying text mining methods to thousands of tweets containing this precise hashtag from the end of January to the end of March 2020.

The present article stands for a Master Thesis presented in order to obtain a M.A. in Data Sciences and Digital Sociology from Gustave Eiffel University under the supervision of Digital Sociology associate professor Bilel Benbouzid. It hasn't been published.},

keywords = {},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{Schüler2021,

title = {De l’innovation pour le profit, aux profits sans innovation : une monographie de l’entreprise pharmaceutique Novartis},

author = {Jimmy Schüler},

editor = {Cédric Michel Durand},

url = {https://archive-ouverte.unige.ch/unige:148424

https://archive-ouverte.unige.ch/unige:148424/ATTACHMENT01},

year  = {2021},

date = {2021-01-01},

school = {Université de Genève},

abstract = { Notre travail propose une analyse détaillée des politiques de profit chez Novartis. Nous revenons sur ses différents modèles de production : du modèle des blockbusters à celui des traitements de niche. Nous analysons les mécanismes qui structurent la production de son innovations tels que l’externalisation de phases cliniques ou l’acquisition tardive de traitements issus de sa périphérie. Un processus de monopolisation de l’innovation permise par la position dominante du groupe au sein du secteur pharmaceutique.},

keywords = {},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{deMacedo2020,

title = {Ementas e Nomes de Restaurantesem Zona Turística do Funchal e de Santa Cruz de TenerifeUm olhar sobre a paisagem linguística},

author = {Marlene Ascensão de Macedo},

url = {https://digituma.uma.pt/handle/10400.13/3076

https://digituma.uma.pt/bitstream/10400.13/3076/1/Disserta%c3%a7%c3%a3o%20Trabalhada%20%c3%baltima%20revis%c3%a3o_24jun2020_VFINAL.pdf},

year  = {2020},

date = {2020-12-01},

school = {Universidade da Madeir},

abstract = {The present report is the result of a case study inspired on names of restaurants and their menus in two different touristic areas: Funchal (rua de Santa Maria and Largo do Corpo Santo) in Madeira Archipelago and Santa Cruz de Tenerife (avenida Anaga and rua Bethencourt de Alfonso) in the Canary Islands. The aim is to characterize the linguistic landscape of both zones through the names of the restaurants and its menus, comparing the two linguistic landscapes in order to establish similarities and differences between them. This work is constituted by a linguistic analysis and a sociological study of the mentioned corpora linguistics, identifying determinant reasons for these expressions of symbolic mediation. The islands (Madeira and Tenerife) preserve a remarkable tourist tradition and great promotion at the international level (see, among other means of dissemination, catalogs of travel agencies, guides sold annually before the high season, tourism fairs’ folds, social networks and others). The places with the highest flow of foreign tourists in August and September were compared both in the cities of Funchal and Santa Cruz de Tenerife. The study compares these two linguistic landscapes, where both consumers have similar profiles (generation, origin, tastes for food and beverages, etc.) according to a preparatory research done by verbal consultation of the professionals of these establishments and the contemplated period of the day was the dinner time and the moments of the festivity that follows it, being this presentation based on sociological foundations that structure knowledge in the area. The methodological approach adopted followed the hypothetical-deductive method, based on a specific question: considering Madeira and Tenerife two different islands in Macaronesia with long tourist tradition, can the linguistic landscape of Funchal and Santa Cruz de Tenerife have similarities regarding the names of restaurants and their outdoor menus?},

keywords = {},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{Aumüller-Wagner2019,

title = {Dominant and silent voices in the discourse on Health Smart Homes for the Elderly on Twitter and Scopus},

author = {Sophia Aumüller-Wagner and Bartal Læarsson and Muhammed Agar and Kristina Mituzaite and Janina Münz and Linda Malnača},

url = {https://www.dasts.dk/wp-content/uploads/ESPS_Health-smart-home-for-the-elderly.pdf},

year  = {2019},

date = {2019-09-01},

school = {IT-University of Copenhagen},

abstract = {Living in a world of demographic change means that aging societies will to a higher extend deal with mobility issues, chronic illnesses, and fall risks. Smart home technologies are increasingly considered in healthcare and could help alleviate the dilemma of people wanting to remain autonomous and independent while growing older. Under the lens of Clarke’s Situational Analysis, this paper explores how health smart homes for the elderly are co-constructed on the platforms of Scopus and Twitter. Using both Big Data and Thick Data, silent voices in the discourse around this technology are uncovered in order to understand how far the innovation of smart homes is aligned with the needs of its users. The main finding of this research paper shows that the field around health smart homes for the elderly is still in its early stages and the needs and concerns of elderly people are not yet considered enough. In order to design smart health homes for the elderly, the researchers propose a requirement pyramid that can aid the design of these future technologies.  },

keywords = {},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{Pan2018,

title = {Understanding the message functions in health communication, promotion and pubic engagement on Twitter: An exploratory analysis of the SunSmart campaign},

author = {Ying-Ling Pan},

url = {https://essay.utwente.nl/76515/1/Pan_BA_faculty.pdf},

year  = {2018},

date = {2018-08-31},

address = {Enschede, the Netherlands},

school = {University of Twente},

abstract = {Background. As the mortality of skin cancer has risen rapidly over the recent decades, skin health  organisations  largely  use  social  media  as  a  communication  tool  to  promote  health campaigns and encourage participation. However, little is known about the specific approach to foster  engagement via tweets as a  form  of health  communication  and promote  health campaigns to engage the public. By focusing on the SunSmart skin health campaign on Twitter, this study aims to investigate how the communication during the campaign is characterised in terms of the functions of messages, to what extent the use of these messages can create public engagement, and how message contents play out among the functions. Methodology. By focusing on the SunSmart health campaign on Twitter, this study adopts a multi-method approach. First, a descriptive statistical analysis is used to understand whether levels  of  engagement  among  types  of  usersand  message  functions  differ. Second, Natural Language  Processing(NLP) is  adopted for  developing  a  codebook in  which four  message functions manifested from the SunSmart data are identified. Third, content analysis is used to manually  classify  each  tweet  to  different  user  types  and  message  functions. Last,  by  using Natural Language Processing(NLP) and the hashtag visualisation the matic analysis, we further explore whether the composition of content (i.e., keywords & thematic topics) among message functions differ. Results. Using the 2014 SunSmart health campaign on Twitter as an empirical context and on the basis of comparison between individuals and organisations(i.e.,the public), results show that individual users are more engaged in the SunSmart campaign on Twitter than organisations did. In addition, we find the  levels  of  engagement  among  the four  main  message  functions between individuals and organisations differ. At the content level, results show that utilisation of keywords  and  thematic  topics  among  different  message  functions generally differ among individuals and organisations. Contributions. This   study   offers   contributions   to   research   on media   studies,   health communication, and health campaign marketing. Practically, the results provides with insight on strategic health communication and marketing campaigns.},

keywords = {},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{Theel2018,

title = {Digital Nomadism as an extension of new media work: Travelling between ideology and practice},

author = {Mandy Theel},

url = {file:///Users/pybulot/Downloads/Mandy_Theel_MA_Thesis_upload.pdf},

year  = {2018},

date = {2018-07-28},

school = {University of Amsterdam},

abstract = {In a world where technology intertwines increasingly with everyday life and work, the traditional career fades into the background and work how we know it is transformed. The structural organisation and subjective perception of work are moving towards new notions of freedom and nomadism while new labour forms arise. This thesis is a journey into the world of Digital Nomads, their imagination and implementation of a new kind of work practice. The research aims to examine the changing notion of work in new media industries caused by technological and societal developments. Through the lens of a mixed methods approach using digital methods in a quantitative content analysis and qualitative semi-structured interviews, the study analyses the values and practices of Digital Nomads.The movement of Digital Nomadism will be regarded from a new media perspective where it proves  to extend the existing understanding of the new media work practices. The thesis provides a model based on discourse analysis that contrasts the ideology and practice of this work and lifestyle. Moreover, it contributes new insights into the changing notion of work proposing that, especially in the new media industries, work experiences an “industrialisation of nomadism”.},

keywords = {},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{CMW2017,

title = {Etude de la mèmosphère de God  Emperor Trump},

author = {CMW and D2SN},

url = {https://lesmondesnumeriques.files.wordpress.com/2017/02/rendu-trump-sprint.pdf},

year  = {2017},

date = {2017-02-01},

urldate = {2017-02-01},

abstract = {Sprint opérationnel Masters CMW et NUMI (D2SN)},

keywords = {},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{elJamal2015,

title = {Framing Arab Poverty Knowledge Production: A Socio-bibliometric Study},

author = {Sarah el Jamal},

url = {https://scholarworks.aub.edu.lb/bitstream/handle/10938/10615/t-6197.pdf?sequence=1&isAllowed=n},

year  = {2015},

date = {2015-06-02},

address = {Beirut, Lebanon},

school = {American University of Beirut},

abstract = {Based on Mannheim's theory that knowledge is socially constructed, and its production process is influenced by the social context in which it occurs, this study seeks to identify and analyze the social influences and forces behind the knowledge produced and disseminated in the form of academic journal articles on the topic of poverty in the Arab World. Although the knowledge production process will not be studied in its making, certain features and elements of the final body of knowledge (the articles) will be taken as telling indicators of the process in hindsight. These will be the basis of three kinds of analyses that will be carried out: content analysis, authorship analysis, and citation analysis. In content analysis, I will scrutinize the poverty concepts used, the methodologies applied, the use of theory including theoretical frameworks of the studies, the prevailing political and epistemological paradigms, the structure of the articles, and the types of articles (critique, essay, fieldwork). In authorship analysis, I will survey the sociological markers pertaining to the authors and institutions producing the articles. In citation analysis, I will analyze the characteristics and trends of the references. Ultimately, I seek to answer the following question: What are the social factors conditioning the production of academic articles on poverty in the Arab World, and what are the observed trends thereof?},

keywords = {},

pubstate = {published},

tppubtype = {mastersthesis}

}