Výsledky vyhľadávania
Názov Transformácia nemeckej politickej scény a reflexia parlamentných volieb v roku 2017 Súbež.n. Transformation of german politics and reflection of 2017 parlamentary elections Aut.údaje Marek Lenč Autor Lenč Marek 1985- (100%) UMBPO03 - Katedra medzinárodných vzťahov a diplomacie
Zdroj.dok. Politické vedy : časopis pre politológiu, najnovšie dejiny, medzinárodné vzťahy, bezpečnostné štúdiá : journal for political science, modern history, international relations, security studies. Roč. 22, č. 1 (2019), s. 178-204. - Banská Bystrica : Vydavateľstvo Univerzity Mateja Bela - Belianum, 2019 Heslá pers. Merkel Angela nemecká politička 1954- Schulz Martin Kľúč.slová parlamentné voľby - parliamentary elections 2017 volebná kampaň - election campaign volebné výsledky veľká koalícia Heslá geogr. Nemecko Form.deskr. články - journal articles Jazyk dok. slovenčina Krajina Slovenská republika Systematika 324 Anotácia Research on transformation of German political arena has been quite intensive over the last years. Several general trends could be observed in last decades, but acceleration of more significant changes was seen especially in regard with the political consequences of migration and refugee crisis. The 2017 German parliamentary elections led to a confirmation of a new political reality in Germany and some unexpected results in modern post-war German history. As an outcome of the 2017 elections six political parties entered Bundestag in 2017. The winner, conservative Union of the CDU/CSU, achieved strongest electoral result with 32.9% of the casted votes, but both large parties (CDU/CSU and SPD) were politically weakened and experienced one of the lowest electoral results since their establishment. Fragmentation of political scene, weakening of traditional large political parties, success of new party (AfD), and the return of the traditional political party (FDP) into the German parliament, complicated political relations on the left side of German political spectrum and ruled out simple post-election coalition negotiations. These eventually led to the historically longest government building process of 4th Merkel's government that lasted 171 calendar days. Hence, the study provides an analysis of the campaign, outcome of the parliamentary elections, its interpretations in the context of German, European political development and their impact on German politics. The revival of the Great coalition was reflected in the promotion of some new domestic policies and a support for continuity of the German foreign and European policy. The recent dynamics led to a stabilization of internal situation in both CDU and CSU, ideological crisis of SPD, brought reinforcement of Green party and confirmed fragmentation of German political scene into six relevant political parties which will represent the most important political forces for the next German parliamentary elections. Kategória publikačnej činnosti ADN Číslo archívnej kópie 44808 Kategória ohlasu LAUKOVÁ, Jana - MOLNÁROVÁ, Eva. Migračný diskurz z pozície aktérstva. In Jazyk a politika. Na pomedzí lingvistiky a politológie IV. Bratislava : Vydavateľstvo EKONÓM, 2019. ISBN 978-80-225-4641-6, s. 443-454.
Katal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Báza dát xpca - PUBLIKAČNÁ ČINNOSŤ Odkazy PERIODIKÁ-Súborný záznam periodika 
nerozpoznaný
Názov (Un)Trendy Japan: Twitter bots and the 2017 Japanese general election Aut.údaje Jozef Michal Mintal, Róbert Vancel Autor Mintal Jozef Michal 1992- (50%) UMBPO08 - Katedra bezpečnostných štúdií
Spoluautori Vancel Róbert 1992- (50%) UMBPO03 - Katedra medzinárodných vzťahov a diplomacie
Zdroj.dok. 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 Kľúč.slová parlamentné voľby - parliamentary elections prognózovanie - prognózy - forecasting 2017 twitter Heslá geogr. Japonsko Form.deskr. články - journal articles Jazyk dok. angličtina Krajina Česká republika Anotácia 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 Kategória publikačnej činnosti ADM Číslo archívnej kópie 47564 Kategória ohlasu 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.
Katal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Báza dát xpca - PUBLIKAČNÁ ČINNOSŤ Odkazy PERIODIKÁ-Súborný záznam periodika nerozpoznaný