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Un voyage lexical et discursif à travers dix scrutins présidentiels
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In: ISSN: 2428-1387 ; Mondes sociaux ; https://halshs.archives-ouvertes.fr/halshs-03593640 ; 2022 (2022)
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"Geil dabei zu sein" - Livestreams als Kommunikationsmittel rechtsextremer Proteste
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In: ZRex - Zeitschrift für Rechtsextremismusforschung ; 2 ; 1 ; 72-90 (2022)
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Strategisches Framing bei Björn Höcke - wie ein rechtsextremer Politiker den Rahmen sprengt
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In: ZRex - Zeitschrift für Rechtsextremismusforschung ; 2 ; 1 ; 128-140 (2022)
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Using Campaign Communications to Analyze Civility in Ranked Choice Voting Elections
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In: Politics and Governance ; 9 ; 2 ; 280-292 ; The Politics, Promise and Peril of Ranked Choice Voting (2022)
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| 5 |
Framing right-wing populist satire: the case-study of Ghisberto's cartoons in Italy
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In: Punctum: International Journal of Semiotics ; 6 ; 2 ; 29-55 ; Semiotics of Political Communication (2022)
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What Do We Know about Hybrid Regimes after Two Decades of Scholarship?
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In: Politics and Governance ; 6 ; 2 ; 112-119 ; Authoritarianism in the 21st Century (2022)
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Elleni Centime Zeleke, Ethiopia in Theory: Revolution and Knowledge Production, 1964–2016
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In: Aethiopica; Bd. 24 (2021); 297–299 ; Aethiopica; Vol. 24 (2021); 297–299 ; 2194-4024 ; 1430-1938 ; 10.15460/aethiopica.24.0 (2022)
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| 8 |
Rückzug als Widerstand: Dissidente Lebensformen in der globalen Politik
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In: 88 ; Edition Politik ; 222 (2022)
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| 9 |
Vox frente a Europa: la derecha radical en Twitter durante las elecciones europeas de 2019
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In: Journal of Linguistic Research; Vol. 24 (2021): El discurso político en las redes sociales; 23-46 ; Revista de Investigación Lingüística; Vol. 24 (2021): El discurso político en las redes sociales; 23-46 ; 1989-4554 ; 1139-1146 (2022)
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| 10 |
Swedish political party programs and election manifestos ... : Svenska partiprogram och valmanifest ...
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| 11 |
Die sprachliche Behandlung der Geschlechter in deutschen und französischen Wahlprogrammen zur Europawahl 2019:Eine gender- und politolinguistische Untersuchung
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| 12 |
Collaborative Multi-racial Post-election Survey (CMPS), United States, 2016 ... : Version 1 ...
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Collaborative Multi-racial Post-election Survey (CMPS), United States, 2016 ... : Archival Version ...
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Political analytics on election candidates and their parties in context of the US Presidential elections 2020
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Abstract:
The availability of internet services in the United States and rest of the world in general in the modern past has contributed to more traction in the social network platforms like Facebook, Twitter, Instagram, YouTube, and much more. This has made it possible for individuals to freely speak and express their sentiments and emotions towards the society. Social media has also made it possible for bringing people closer by making the world a global village. There are influencers who promote products on social media platforms and politicians run their campaigns online for broader reach. Social media has become the fuel for globalization. In 2020, the United State Presidential Elections saw around 1.5 million tweets on Twitter specifically for the Democratic and Republican party, Joe Biden, and Donald Trump, respectively. The tweets involve people’s sentiments and opinions towards the two political leaders (Joe Biden and Donald Trump) and their parties. The computational study of beliefs, sentiments, evaluations, perceptions, views, and feelings conveyed in text is known as sentiment analysis. The political parties have used this technique to run their campaigns and understand the opinions of the public. It has also enabled the modification of their campaigns accordingly. In this thesis, during the voting time for the United States Elections in 2020, we conducted text mining on approximately 1.5 million tweets received between 15th October and 8th November that address the two mainstream political parties in the United States. We aimed at how Twitter users perceived for both political parties and their candidates in the United States (Democratic Party and Republican Party) using VADER (Valence Aware Dictionary and sEntiment Reasoner) a sentiment analysis tool that is tailored to discover the social media emotions, with a lexicon and rule-based sentiment analysis. The results of the research were the Democratic Party’s Joe Biden regardless of the sentiments and opinions in the in Twitter showing Donald Trump could win. ; Master of Science (M.Sc.) in Computational Sciences
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Keyword:
data mining; Donald Trump; electoral college; Joe Biden; lexical analysis; negative polarity; positive polarity; Sentiment analysis; text mining; tweets; Twitter; U.S. elections 2020; voting/elections; word cloud; word tokenization
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URL: https://zone.biblio.laurentian.ca/handle/10219/3733
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| 15 |
Investigating Visual Content Shared over Twitter during the 2019 EU Parliamentary Election Campaign
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In: Media and Communication ; 9 ; 1 ; 158-170 ; Dark Participation in Online Communication: The World of the Wicked Web (2021)
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| 16 |
Les religions abrahamites dans le discours du Front National dans le contexte d'extrêmes droites populistes européennes
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In: Political Discourses at the Extremes: Expressions of Populism in Romance Speaking Countries ; 4 ; Stockholm Studies in Romance Languages ; 53-81 (2021)
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"Don't expect me to repair in four years what you have destroyed in four hundred years": On the ethos in (inter)action of Lula and Alckmin in an election TV debate
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In: Stockholm Review of Latin American Studies ; 8 ; 83-99 ; Independent languages? About language as a dynamic process (2021)
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| 18 |
Is There Such a Thing as Science-Related Populism? An Essay on Anti-Science Sentiments and Ideologies
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In: 6 (2021)
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| 19 |
Protest twittern: Eine medienlinguistische Untersuchung von Straßenprotesten
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Dang-Anh, Mark. - : transcript Verlag, 2021. : DEU, 2021. : Bielefeld, 2021
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In: 22 ; Locating Media / Situierte Medien ; 448 (2021)
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| 20 |
Rechtspopulismus und Geschlecht: Paradox und Leitmotiv
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In: Femina Politica - Zeitschrift für feministische Politikwissenschaft ; 27 ; 1 ; 34-46 ; Angriff auf die Demokratie (2021)
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