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  1. 61

    Sentiment Analysis Twitter Bahasa Indonesia Berbasis WORD2VEC Menggunakan Deep Convolutional Neural Network by Hans Juwiantho, Esther Irawati Setiawan, Joan Santoso, Mauridhi Hery Purnomo

    Published 2020-02-01
    “…Data yang digunakan dalam makalah ini adalah data Twitter Bahasa Indonesia dengan jumlah 999 tweet. …”
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    Article
  2. 62

    Sosyal Medyada Popülist Söylemler: 31 Mart 2019 Yerel Seçim Sürecinde Adayların Twitter Gönderilerinin Analizi by Ayşe Fulya Şen, Şule Yenigün Altın

    Published 2020-06-01
    “…Popülist söylemlerin bir siyasal iletişim biçimi olarak nasıl kullanıldığını göstermeyi amaçlayan bu çalışmada, 31 Mart 2019 yerel seçiminde siyasal ittifakları temsil eden belediye başkan adaylarının popülist söylem üretme biçimleri incelenmiştir. 2019 yerel seçiminde Twitter’ı etkin olarak kullanan üç büyük şehrin Cumhur ve Millet ittifakı adaylarının Twitter paylaşımları eleştirel söylem çözümlemesi ve içerik çözümlemesi yöntemiyle incelenmiştir. …”
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    Differential impact from individual versus collective misinformation tagging on the diversity of Twitter (X) information engagement and mobility by Junsol Kim, Zhao Wang, Haohan Shi, Hsin-Keng Ling, James Evans

    Published 2025-01-01
    “…These unintended consequences were softened by a collective verification system for misinformation moderation. In Twitter’s new feature, Community Notes, misinformation tagging was peer-reviewed by other fact-checkers before revelation to the poster. …”
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  6. 66

    Presenting a Novel Hybrid Approach of Text Mining Sentiment Analysis in Twitter Using CART Decision Tree by Nasir Tayarani, Mehrdad Jalali

    Published 2020-03-01
    “…In this paper, a new hybrid approach of machine learning and vocabulary-based method to text-mining sentiment analysis on Twitter. To improve text-mining and sentiment analysis, the CART decision tree is used as a machine learning method for classification, also for extracting more precisely sentiment, we use from the list of SentiStrength algorithms as a lexicon-based method. …”
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  7. 67

    Identifikasi Pengaruh Pandemi Covid-19 terhadap Perilaku Pengguna Twitter dengan Pendekatan Social Network Analysis by Diana Purwitasari, Apriantoni Apriantoni, Agus Budi Raharjo

    Published 2021-11-01
    “…Hal ini menjadikan twitter relevan sebagai media ekstraksi pengetahuan dalam mengidentifikasi perubahan perilaku pengguna. …”
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  11. 71

    Recurrent Patterns of User Behavior in Different Electoral Campaigns: A Twitter Analysis of the Spanish General Elections of 2015 and 2016 by S. Martin-Gutierrez, J. C. Losada, R. M. Benito

    Published 2018-01-01
    “…We have retrieved and analyzed several millions of Twitter messages corresponding to the Spanish general elections held on the 20th of December 2015 and repeated on the 26th of June 2016. …”
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  12. 72

    The Interfaces Twitter Elections Dataset: Construction process and characteristics of big social data during the 2022 presidential elections in Brazil. by Sylvia Iasulaitis, Alan Demétrius Baria Valejo, Bruno Cardoso Greco, Vinicius Gonçalves Perillo, Guilherme Henrique Messias, Isabella Vicari, with the Interfaces—Center for Sociopolitical Studies of Algorithms and Artificial Intelligence

    Published 2025-01-01
    “…The main objective of this study is to describe the process of collecting data extracted from Twitter (X) during the Brazilian presidential elections in 2022, encompassing the post-election period and the event of the attack on the buildings of the executive, legislative, and judiciary branches in January 2023. …”
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    Article
  13. 73

    Ensemble Classifiers for Arabic Sentiment Analysis of Social Network (Twitter Data) towards COVID-19-Related Conspiracy Theories by Abdullah Al-Hashedi, Belal Al-Fuhaidi, Abdulqader M. Mohsen, Yousef Ali, Hasan Ali Gamal Al-Kaf, Wedad Al-Sorori, Naseebah Maqtary

    Published 2022-01-01
    “…These studies focused more on sentiment analysis of Twitter tweets in the English language and did not pay more attention to other languages such as Arabic. …”
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  14. 74

    Deteksi Kejadian Lalu Lintas pada Teks Twitter dengan Pendekatan Klasidikasi Multi-Label Berbasis Deep Learning by Luthfi Atikah, Diana Purwitasari, Nanik Suciati

    Published 2022-02-01
    “…Namun, pengguna twitter cenderung membagikan beberapa informasi sekaligus, sehingga dalam satu tweet bisa memiliki lebih dari satu label. …”
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  15. 75

    Les retours d’une exploration méthodologique croisant données Twitter, recrutement via Facebook et questionnaires web by Emmanuel Ravalet, Jean-François Lucas, Antoine Lohou

    Published 2017-12-01
    “…This article aims to report two experiences which both use social networks, respectively Twitter and Facebook, to give some insights on practices and social representations linked with mobility. …”
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    From deliberation to acclamation: how did Twitter’s algorithms foster polarized communities and undermine democracy in the 2020 US presidential election by Gustavo Morales, Gustavo Morales, Augusto Salazar, Diego Puche

    Published 2025-01-01
    “…This study employed Twitter’s Stream API to assemble a dataset encompassing tweets that featured keywords. …”
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  18. 78

    CoWIN twitter dataset: A comprehensive collection of public discourse on India's COVID-19 vaccination platformMendeley Data by Shubham Mittal, Swarnalakshmi Umamaheswaran

    Published 2025-02-01
    “…The CoWIN Twitter Dataset offers a wide-ranging collection of public opinions on India's COVID-19 vaccination platform CoWIN. …”
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    Article
  19. 79

    ‘I will never concede’: Donald Trump’s discourse of denial on Twitter (Nov. 4th 2020 – Jan. 8th 2021) by Sandrine Sorlin

    Published 2021-10-01
    “…This article concentrates on US President Donald Trump’s last months in power and studies how he manages to deny defeat until the very last day of his presidency. Focusing on his Twitter communication extracted from the Trump Twitter Archive from November 4th 2020 to January 8th 2021 when his Twitter account was suspended, Sandrine Sorlin shows the continuity and changes in Trump’s style at the very end of 2020, highlighting how he goes about sustaining faith in his victory through the specific use of negation. …”
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  20. 80

    Social media warfare: investigating human-bot engagement in English, Japanese and German during the Russo-Ukrainian war on Twitter and Reddit by Wentao Xu, Kazutoshi Sasahara, Jianxun Chu, Bin Wang, Wenlu Fan, Zhiwen Hu

    Published 2025-02-01
    “…The analysis of over 20 million tweets and 1 million Reddit comments revealed that bots predominantly operated on Twitter (X), while human users were more active on Reddit. …”
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