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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...6 7 8 9 10 11 12 13 14...107 Hits 181 – 200 of 2.140 181 The emotional labour of beauty standards: the case of YouTube beauty gurus ... Languaging Diversity 2021 2021; Fruttaldo, Antonio. - : Underline Science Inc., 2021 BASE Show details 182 Investigating Scientific Inquiry Skills from Process Data ... 43rd Annual Meeting of the Cognitive Science Society 2021; Arslan, Burcu; Gong, Tao. - : Underline Science Inc., 2021 BASE Show details 183 Investigating Scientific Inquiry Skills from Process Data ... 43rd Annual Meeting of the Cognitive Science Society 2021; Arslan, Burcu; Gong, Tao. - : Underline Science Inc., 2021 BASE Show details 184 Phonology as a tool for Global Englishes Language Teacher Education (published as a book chapter 10.4324/9781003082712-41) ... Jeong, Hyeseung. - : figshare, 2021 BASE Show details 185 Phonology as a tool for Global Englishes Language Teacher Education (published as a book chapter 10.4324/9781003082712-41) ... Jeong, Hyeseung. - : figshare, 2021 BASE Show details 186 How we perform our cultures everyday ... Karega, Kairu. - : figshare, 2021 BASE Show details 187 How we perform our cultures everyday ... Karega, Kairu. - : figshare, 2021 BASE Show details 188 International Journal of TESOL & Education ... Pham, Vu Phi Ho; Technology, Suranaree University; University, Charles. - : figshare, 2021 BASE Show details 189 How do individuals perform intercultural communication? ... Karega, Kairu. - : figshare, 2021 BASE Show details 190 How do individuals perform intercultural communication? ... Karega, Kairu. - : figshare, 2021 BASE Show details 191 International Journal of TESOL & Education ... Pham, Vu Phi Ho; Technology, Suranaree University; University, Charles. - : figshare, 2021 BASE Show details 192 Metaphorik der Digitalität: Über den Nicht-Erklärungswert etablierter Begrifflichkeiten zur Beschreibung der Online- Kommunikation Thiery, Heinz In: 16 (2021) BASE Show details 193 Using sentiment analysis in tourism research: A systematic, bibliometric, and integrative review Manosso, Franciele Cristina; Domareski Ruiz, Thays Cristina In: Journal of Tourism, Heritage & Services Marketing ; 7 ; 2 ; 16-27 (2021) BASE Show details 194 Tools and Techniques Used in the Language of Advertisements: The Linguistic Perspective Shariq, Mohammad In: Media Watch ; 11 ; 3 ; 565-580 (2021) BASE Show details 195 Digital Media and Textuality: From Creation to Archiving In: 45 ; Medienumbrüche ; 284 (2021) BASE Show details 196 Rhetorical Visions of Fulani-Herdsmen Conflict in the Nigerian Press: A Fantasy Theme Analysis Opeyemi, Oredola; Kehinde, Oyesomi; Afolayan, Tayo-Adigboluja... In: Media Watch ; 11 ; 1 ; 67-82 (2021) BASE Show details 197 Tweet Analytics for Political Position Estimation ; 12th IEEE International Conference on Cognitive Infocommuincations -- CogInfoCom2021 Vogel, Carl. - 2021 Abstract: PUBLISHED ; An increasingly popular method of predicting trends and forecasting voting outcomes is to create a prediction model based on alignment of publicly available social media content produced by voters with voting behaviours. This paper aims to analyse whether Twitter data extracted from local Dublin City Council members’ Twitter accounts in comparison with corresponding Councillor and Motion data from the Council- Tracker.ie website can be interpreted and used to create a model to predict the voting outcome of local Dublin City Council votes to pass motions. The aim was to explore whether through utilising machine learning techniques along with natural language processing techniques, reliable and data driven predictions can be generated for policy-making proposals brought forward. The acquired experimental results suggest that the approach used was marginally adequate in supporting the proposed hypothesis, although some interesting results were derived. Of the models analysed the Decision Tree model produced the most accurate results with an accuracy score of 0.71 (baseline: 0.63). Analysis of the models and an ablation study showed that the features derived from tweet texts and motion texts along with overall properties of a Councillor’s twitter account were the most powerful indicators. The behaviour of a tweet, such as its acquired number of favorites or retweets, were not indicative of the results in both the random forest model and decision tree model Keyword: Computational Linguistics; Digital Humanities; Dublin City Council; Early adopters; Google+; Influence; Information; Personality traits; Political Behavior; Political Behaviour; Political Methodology; Political Psychology; political science; Politics; Rumor; Social media; Social networks; text analytics; Twitter URL: http://people.tcd.ie/vogel http://hdl.handle.net/2262/97346 BASE Hide details 198 Destructive Storytelling: Disinformation and the Eurosceptic Myth that Shaped Brexit Henkel, Imke. - : Palgrave Macmillan, 2021 BASE Show details 199 Russia’s Futures, from Fairy Tales and Editorials to Kremlin Narratives: Prokhanov, Dugin, Surkov Mondry, Henrietta; Pavlov, Evgeny. - 2021 BASE Show details 200 30 Years after the Breakup of the USSR: Russia and Post-Soviet Europe, Narratives and Perceptions Chaban, Natalia; Mondry, Henrietta; Pavlov, Evgeny. - 2021 BASE Show details Page: 1...6 7 8 9 10 11 12 13 14...107

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