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39
Hits 81 – 100 of 766
81
Evaluating the use of mobile technologies for language learning purposes
Rosell Aguilar, Fernando
. - : Universitat Politècnica de València, 2021
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82
Emotional tone, analytical thinking, and somatosensory processes of a sample of Italian Tweets during the first phases of the COVID-19 pandemic : observational study
D. Monzani
;
L. Vergani
;
S.F.M. Pizzoli
. - : JMIR Publications, 2021
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83
Tweeting Out Loud: Prosodic Orthography on Social Media
Heath, Maria
. - 2021
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84
Influencers educativos en Twitter. Análisis de hashtags y estructura relacional
Marcelo, Carlos
;
Marcelo Martínez, Paula
In: Comunicar: Revista científica iberoamericana de comunicación y educación, ISSN 1134-3478, Nº 68, 2021, pags. 73-83 (2021)
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85
Twitter presidencial ante la COVID-19: Entre el populismo y la política pop
Manfredi Sánchez, Juan Luis
;
Amado, Adriana
;
Waisbord, Silvio
In: Comunicar: Revista científica iberoamericana de comunicación y educación, ISSN 1134-3478, Nº 66, 2021, pags. 83-94 (2021)
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86
Narrativised simile and emotional responses to Brexit
Barbara Dancygier
In: Russian Journal of Linguistics, Vol 25, Iss 3, Pp 663-684 (2021) (2021)
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87
“You’re too thick to change the station” – Impoliteness, insults and responses to insults on Twitter
Bączkowska Anna
In: Topics in Linguistics, Vol 22, Iss 2, Pp 62-84 (2021) (2021)
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88
Implicit vs explicit evaluation: How English-speaking Twitter users discuss migration problems
Elena V. Gabrielova
;
Olga I. Maksimenko
In: Russian Journal of Linguistics, Vol 25, Iss 1, Pp 105-124 (2021) (2021)
Abstract:
The current research answers the question how Twitter users express their evaluation of topical social problems (explicitly or implicitly) and what linguistic means they use, being restricted by the allowed length of the message. The article explores how Twitter users communicate with each other and exchange ideas on social issues of great importance, express their feelings using a number of linguistic means, while being limited by a fixed number of characters, and form solidarity, being geographically distant from each other. The research is focused on the linguistic tools employed by Twitter users in order to express their personal attitude. The subject chosen for study was the migration processes in Europe and the USA. The aim of the current investigation is to determine the correlation between the attitudes of English-speaking users towards migration and the way they are expressed implicitly or explicitly. The authors make an attempt to define which tools contribute to the implicit or explicit nature of the utterances. The material includes 100 tweets of English-speaking users collected from February 1 to July 31, 2017. The choice of the time period is defined by significant events in Trumps migration policy and their consequences. The research is based on the content analysis of the material carried out by means of the Atlas.ti program. The software performs the coding of textual units, counts the frequency of codes and their correlation. The results of the research show that Twitter users tend to express their critical attitudes towards migration, rather than approve of it or sympathise with migrants. Criticism is more often expressed implicitly rather than explicitly. In order to disguise the attitude and feelings, the English-speaking users of Twitter employed irony, questions and quotations, while the explicit expression of attitudes was done by means of imperative structures. It is also worth mentioning that ellipses, contractions and abbreviations were used quite frequently due to the word limit of tweets. At the same time, the lack of knowledge about extralinguistic factors and personal characteristics of users makes the process of interpretation of tweets rather challenging. The findings of the current research suggest the necessity to take into account implicit negative attitudes while carrying out the analysis of public opinion on Twitter.
Keyword:
explicit evaluation
;
implicit evaluation
;
linguistic tools
;
migration
;
online communication
;
P1-1091
;
Philology. Linguistics
;
twitter
URL:
https://doi.org/10.22363/2687-0088-2021-25-1-105-124
https://doaj.org/article/97ff8178edad4c50b1d387eb8cb91d7b
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89
El uso de la traducción automática en las cuentas de Twitter® de los principales periódicos de Latinoamérica: una aproximación
Santamaría Urbieta, Alexandra
;
Alcalde Peñalver, Elena
In: Mutatis Mutandis: Revista Latinoamericana de Traducción, ISSN 2011-799X, Vol. 14, Nº. 1, 2021, pags. 167-194 (2021)
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90
eterna regularidad de los participios
Miguel Silvestre Llamas
In: Domínios de Lingu@gem, Vol 16, Iss 2, Pp 843-869 (2021) (2021)
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91
O Projeto de Lei 5595 e o discurso de ódio: a desconstrução da carreira docente no contexto pandêmico
Júlio Araújo
;
Marcos Randall Oliveira de Freitas
In: DELTA: Documentação de Estudos em Lingüística Teórica e Aplicada, Vol 37, Iss 4 (2021) (2021)
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92
Spanish politicians in Twitter: A linguistic analysis of their written discourse
Ricardo Casañ Pitarch
In: Ibérica, Vol 40, Iss 1, Pp 195-216 (2021) (2021)
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93
A Comparison of Social Media Engagement Tactics Utilized by the Washington Nationals Twitter Account
Caskey, Taylor C.
. - : Virginia Tech, 2021
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94
Bêtes et méchants ? Pour une analyse positionnelle du discours de la Ligue du LOL
Ghorbanzadeh, Keyvan
In: Mots. Les langages du politique, n 125, 1, 2021-02-15, pp.53-71 (2021)
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95
Tweets injurieux et haineux contre les journalistes et les « merdias »
Mercier, Arnaud
;
Amigo, Laura
In: Mots. Les langages du politique, n 125, 1, 2021-02-15, pp.73-91 (2021)
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96
Català a Twitter, l’àgora de la llengua
Guevara Claramunt, Marc
In: Anuari de Filologia. Estudis de Lingüística, ISSN 2014-1408, Nº. 11, 2021 (Ejemplar dedicado a: Anuari de Filologia. Estudis de Lingüística), pags. 125-140 (2021)
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97
Construcción de la imagen colectiva de grupos a favor del Acuerdo de paz de Colombia en Twitter / Construction of the collective image of groups in favor of the Colombian peace agreement on Twitter
Laura Cristina Bonilla-Neira
In: Revista de Estudos da Linguagem, Vol 29, Iss 4, Pp 2225-2257 (2021) (2021)
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98
Co-occurrence networks of Twitter content after manual or automatic processing. A case- study on “gluten-free”
Puerta, Patricia
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Laguna, Laura
;
Vidal, Leticia
. - : Elsevier, 2020
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99
Using Twitter Streams for Opinion Mining: a case study on Airport Noise
Meddeb, Iheb
;
Lavandier, Catherine
;
Kotzinos, Dimitris
In: ISSN: 1865-0929 ; Communications in Computer and Information Science ; https://hal.archives-ouvertes.fr/hal-03018998 ; Communications in Computer and Information Science, Springer Verlag, 2020, ⟨10.1007/978-3-030-44900-1_10⟩ (2020)
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100
Predicting Information Diffusion on Twitter a Deep Learning Neural Network Model Using Custom Weighted Word Features
Kushwaha, Amit,
;
Kar, Arpan,
;
Ilavarasan, P.
In: Lecture Notes in Computer Science ; 19th Conference on e-Business, e-Services and e-Society (I3E) ; https://hal.inria.fr/hal-03222872 ; 19th Conference on e-Business, e-Services and e-Society (I3E), Apr 2020, Skukuza, South Africa. pp.456-468, ⟨10.1007/978-3-030-44999-5_38⟩ (2020)
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