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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5 6 7 8 9...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 BASE Show details 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 BASE Show details 83 Tweeting Out Loud: Prosodic Orthography on Social Media Heath, Maria. - 2021 BASE Show details 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) BASE Show details 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) BASE Show details 86 Narrativised simile and emotional responses to Brexit Barbara Dancygier In: Russian Journal of Linguistics, Vol 25, Iss 3, Pp 663-684 (2021) (2021) BASE Show details 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) BASE Show details 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 BASE Hide details 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) BASE Show details 90 eterna regularidad de los participios Miguel Silvestre Llamas In: Domínios de Lingu@gem, Vol 16, Iss 2, Pp 843-869 (2021) (2021) BASE Show details 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) BASE Show details 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) BASE Show details 93 A Comparison of Social Media Engagement Tactics Utilized by the Washington Nationals Twitter Account Caskey, Taylor C.. - : Virginia Tech, 2021 BASE Show details 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) BASE Show details 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) BASE Show details 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) BASE Show details 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) BASE Show details 98 Co-occurrence networks of Twitter content after manual or automatic processing. A case- study on “gluten-free” Puerta, Patricia; Laguna, Laura; Vidal, Leticia. - : Elsevier, 2020 BASE Show details 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) BASE Show details 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) BASE Show details Page: 1 2 3 4 5 6 7 8 9...39

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