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Looking for Razors and Needles in a Haystack: Multifaceted Analysis of Suicidal Declarations on Social Media—A Pragmalinguistic Approach
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In: International Journal of Environmental Research and Public Health ; Volume 18 ; Issue 22 (2021)
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Can Live Streaming Save the Tourism Industry from a Pandemic? A Study of Social Media
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In: ISPRS International Journal of Geo-Information ; Volume 10 ; Issue 9 (2021)
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A Survey on Sentiment Analysis and Opinion Mining in Greek Social Media
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In: Information ; Volume 12 ; Issue 8 (2021)
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Information Extraction and Named Entity Recognition Supported Social Media Sentiment Analysis during the COVID-19 Pandemic
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In: Applied Sciences ; Volume 11 ; Issue 22 (2021)
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Empathy Cultivation through (Pro)Social Media: A Counter to Compassion Fatigue
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In: Journalism and Media; Volume 2; Issue 4; Pages: 819-829 (2021)
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How accurate are developers' emotions inferred from social media? ...
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How accurate are developers' emotions inferred from social media? ...
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Influencer detection in social media ; Détection des influenceurs dans des médias sociaux
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In: https://tel.archives-ouvertes.fr/tel-03640442 ; Ordinateur et société [cs.CY]. Institut National des Langues et Civilisations Orientales- INALCO PARIS - LANGUES O', 2021. Français. ⟨NNT : 2021INAL0034⟩ (2021)
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#KeepOurLanguagesStrong: Indigenous Language Revitalization on Social Media during the Early COVID-19 Pandemic
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Generating health evidence from social media ; Extração de informação de saúde através das redes sociais
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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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Drawing impossible boundaries: field delineation of Social Network Science
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In: Scientometrics ; 125 ; 3 ; 2841-2876 (2021)
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Conceptualization of a Queer Cyberspace: 'Gay Twitter'
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In: FZG - Freiburger Zeitschrift für GeschlechterStudien ; 27 ; 1 ; 95-111 ; Digitalisierung (geschlechter-)gerecht gestalten (2021)
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Using sentiment analysis in tourism research: A systematic, bibliometric, and integrative review
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In: Journal of Tourism, Heritage & Services Marketing ; 7 ; 2 ; 16-27 (2021)
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Incivility and Political Dissent: Multiple roles of aggressive speech in comments on Russian YouTube
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In: Proceedings of the Weizenbaum Conference 2021 ; 4 ; Weizenbaum Conference 2021: Democracy in Flux – Order, Dynamics and Voices in Digital Public Spheres ; 3 (2021)
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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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Instrumentierte Öffentlichkeit: Skizze für einen soziologischen Öffentlichkeitsbegriff
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In: 1-2021 ; TUTS - Working Papers ; 34 (2021)
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Tweet Analytics for Political Position Estimation ; 12th IEEE International Conference on Cognitive Infocommuincations -- CogInfoCom2021
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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
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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
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URL: http://people.tcd.ie/vogel http://hdl.handle.net/2262/97346
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Essays on Representation Learning for Political Science Research
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A Multilingual Lexicon-based Approach for Sentiment Analysis in Social and Cultural Information System Data
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