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Title "AstroSamantha" Author info Massimo Arcangeli Author Arcangeli Massimo 1960- (100%) UMBFF04 - Katedra romanistiky
Source document LId´O : lingua italiana d´oggi, XII-2015. S. 119-120. - Roma : Bulzoni Editore, 2019 / Arcangeli Massimo 1960- Keywords taliančina - taliansky jazyk - Italian language kozmonautika - astronautika - cosmonautics - astronautics twitter Language Italian Country Italy Public work category BEE No. of Archival Copy 45693 Catal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Database xpca - PUBLIKAČNÁ ČINNOSŤ Title (Un)Trendy Japan: Twitter bots and the 2017 Japanese general election Author info Jozef Michal Mintal, Róbert Vancel Author Mintal Jozef Michal 1992- (50%) UMBPO08 - Katedra bezpečnostných štúdií
Co-authors Vancel Róbert 1992- (50%) UMBPO03 - Katedra medzinárodných vzťahov a diplomacie
Source document Politics in Central Europe : the journal of the Central European Political Science Association. Vol. 15, no. 3 (2019), pp. 497-514. - Prague : Metropolitan University Prague Press, 2019 Keywords parlamentné voľby - parliamentary elections prognózovanie - prognózy - forecasting 2017 twitter Headings Geogr. Japonsko Form. Descr. články - journal articles Language English Country Czech Republic Annotation Social networking services (SNSs) can significantly impact public life during important political events. Thus, it comes as no surprise that different political actors try to exploit these online platforms for their benefit. Bots constitute a popular tool on SNSs that appears to be able to shape public opinion and disrupt political processes. However, the role of bots during political events in a non-Western context remains largely under-studied. This article addresses the question of the involvement of Twitter bots during electoral campaigns in Japan. In our study, we collected Twitter data over a fourteen-day period in October 2017 using a set of hashtags related to the 2017 Japanese general election. Our dataset includes 905,215 tweets, 665,400 of which were unique tweets. Using a supervised machine learning approach, we first built a custom ensemble classification model for bot detection based on user profile features, with an area under curve (AUC) for the test set of 0.998. Second, in applying our model, we estimate that the impact of Twitter bots in Japan was minor overall. In comparison with similar studies conducted during elections in the US and the UK, the deployment of Twitter bots involved in the 2017 Japanese general election seems to be significantly lower. Finally, given our results on the level of bots on Twitter during the 2017 Japanese general election, we provide various possible explanations for their underuse within a broader socio-political context URL Link na plný text Public work category ADM No. of Archival Copy 47564 Repercussion category KUMAR, Sanjay - BANSAL, Ryan - MEHTA, Raghav. A study of blending ensembles for detecting bots on twitter. In Lecture notes on data engineering and communications technologies. ISSN 2367-4512, 2021, vol. 59, pp. 29-40.
KATARYA, Rahul - MEHTA, Raghav - BANSAL, Ryan - RAINA, Pradyot - MAHALIYAN, Mukul. Bot detection in social networks using stacked generalization ensemble. In Lecture notes in electrical engineering. ISSN 1876-1100, 2021, no. 701, pp. 253-263.
TENG, Miao. Using the ship-gram model for Japanese keyword extraction based on news reports. In Complexity. ISSN 1076-2787, 2021, vol. 2021, art. no. 9965843.
RIQUELME, Fabian - RIVERA, Diego - SERRANO, Benjamin. Analyzing the far-right political action on Twitter : the Chilean constituent process. In Social network analysis and mining. ISSN 1869-5450, 2022, vol. 12, no. 1, pp. 1-19.
Catal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Database xpca - PUBLIKAČNÁ ČINNOSŤ References PERIODIKÁ-Súborný záznam periodika Title Breve storia di Twitter Author info Massimo Arcangeli Author Arcangeli Massimo 1960- (100%) UMBFF04 - Katedra romanistiky
Issue data Roma : Castelvecchi , 2016. - 176 s. Issue 1. vyd. ISBN 8869445445 Keywords twitter aktuálny text sociálne siete - social networks Language Italian Country Italy systematics 004.738.5 Public work category AAA No. of Archival Copy 39523 Repercussion category PRANDA, Massimo. L´italiano in rete. Usi e gegeri della comunicatione mediata tecnica-mente. Il linguaggio delle proteste studentesche (1968-2008). In LId´O : lingua italiana d´oggi. Roma : Bulzoni Editore, 2018. ISBN 978-88-6887-122-9, s. 237-243.
ELISA, De Roberto. Le forme del testo. In LId´O : lingua italiana d´oggi. Roma : Bulzoni Editore, 2019. ISBN 978-88-6897-142-7, s. 73-101.
PALERMO, Massimo. Organizzare il discorso in rete. Caratteristiche della testualità digitale. In L’italiano e la rete, le reti per l’italiano. Firenze : Accademia della Crusca, 2018. ISBN 978-88-3363-077-9, pp. 49-63.
FRESCU, Rita. Semicolti (solo?) nella rete. Riflessioni sul substandard nel web italiano. In L’italiano e la rete, le reti per l’italiano. Firenze : Accademia della Crusca, 2018. ISBN 978-88-3363-077-9, s. 149-160.
PRADA, Massimo. Rendiconti dalla terra di nessuno. Lingue, comunicazione, testualità fra Web e piattaforme sociali. In LId´O : Lingua italiana d´oggi XIV - 2017. Roma : Bulzoni Editore, 2020. ISBN 978-88-6897-193-9, s. 15-92.
COVINO, Sandra. Tra vecchi e nuovi media: lingue e pubblici della comicitià all’italiana. In LId´O : Lingua italiana d´oggi XIV - 2017. Roma : Bulzoni Editore, 2020. ISBN 978-88-6897-193-9, s. 155-176.
GHENO, Vera. È la rete, bellezza! Appunti sociolinguistici dal continente social. In LId´O : Lingua italiana d´oggi XIV - 2017. Roma : Bulzoni Editore, 2020. ISBN 978-88-6897-193-9, s. 93-112.
SPINA, Stefania. La lingua fluida e aumentata delle conversazioni scritte in Twitter. In LId´O : Lingua italiana d´oggi XIV - 2017. Roma : Bulzoni Editore, 2020. ISBN 978-88-6897-193-9, s. 129-153.
Catal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Database xpca - PUBLIKAČNÁ ČINNOSŤ Title Riformulazioni attraverso Twitter da parte di studenti italiano L1 e LS: proposta di una tassonomia testuale Author info Claudio Nobili, Chiara Meluzzi Author Nobili Claudio 1985- (50%) UMBFF04 - Katedra romanistiky
Co-authors Meluzzi Chiara (50%)
Source document Linguaggio e apprendimento linguistico : metodi e strumenti tecnologici, 4 - Studi AItLA. S. 139-153. - Milano : Officinaventuno, 2016 Keywords twitter lingvistika - jazykoveda - linguistics sociálne siete - social networks Language Italian Country Italy systematics 81 Public work category AEC No. of Archival Copy 36608 Catal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Database xpca - PUBLIKAČNÁ ČINNOSŤ