Relevant bibliographies by topics / Twitter (X)

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Twitter (X)'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Twitter (X)"

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Nurcholiq, Rini, Muhammad Adi Sukma Nalendra, and Dinda Okta Dwiyanti Ridwan Gucci. "ANALISIS PERBANDINGAN LOGO X DAN TWITTER DENGAN PENDEKATAN SEMIOTIKA." JURNAL RUPA MATRA 2, no. 2 (2024): 165–77. http://dx.doi.org/10.62375/jdkv.v2i2.262.

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Hal ini tentang analisis semiotika perbandingan logo X dan logo Twitter. Dalam tulisan ini ini, tujuan dari penelitian ini adalah untuk mengetahui makna ikon, indeks, dan simbol yang terdapat pada logo X dan logo Twitter. Selain makna, penulis ingin mengetahui nilai-nilai apa yang diemban oleh masing-masing logo, Twitter maupun X. Penulis juga ingin mengetahui apa yang terjadi dengan respon masyarakat dengan adanya perubahan logo Twitter ke X. Penulis menggunakan metode kualitatif deskriptif dengan pendekatan semiotika untuk mengetahui poin-poin tersebut. Dalam penelitian ini, penulis akan mem
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Heinemann, Kerstin. "Stichwort: ausge-X-t." merz | medien + erziehung 67, no. 5 (2023): 4. https://doi.org/10.21240/merz/2023.5.3.

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Manch eine*r mag sich daran erinnern, 1991 hieß es aus aller Munde: „Raider heißt jetzt Twix – sonst ändert sich nix.“ Und tatsächlich änderte sich quasi nichts! Das Rebranding kann also als internationale Erfolgsgeschichte angesehen werden. Zu lang hingesehen hat wohl auch Elon Musk. Der umtriebige Unternehmer, über den sich die Fachwelt streitet, ob er nun ein etwas sehr zu reich geratener Dreijähriger in der dauerhaften Autonomiephase oder ein genialer Visionär ist, kaufte – nach endlosen Wendehalsbewegungen, die Belegschaft und Börsen mächtig aufschaukelten – im Oktober 2022 den Kurznachri
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Stokel-Walker, Chris. "Why is Twitter becoming X?" New Scientist 259, no. 3449 (2023): 9. http://dx.doi.org/10.1016/s0262-4079(23)01398-2.

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Fuhaid, ALAJMI. "The Digital Battlefield: A Discourse Analysis of How U.S. Politicians Frame Abortion on Twitter (X)." Journal of Social Perspective Studies 1, no. 2 (2024): 74–88. https://doi.org/10.5281/zenodo.14014815.

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<strong>&Ouml;Z</strong> Bu &ccedil;alışma, ABD politikacılarının Roe v. Wade'in bozulmasının ardından k&uuml;rtaj konusundaki duruşlarını dile getirmek i&ccedil;in Twitter (X)'ı nasıl kullandıklarını araştırıyor. Kongre'nin &ouml;nemli Demokrat ve Cumhuriyet&ccedil;i &uuml;yelerinden 232 tweet'i inceledik ve s&ouml;ylemsel &ccedil;ağrıları ve &ccedil;er&ccedil;eveleme stratejilerini analiz etmek i&ccedil;in s&ouml;ylem analizini kullandım. Sonu&ccedil;lar, Demokratların genellikle k&uuml;rtajı temel bir insan hakkı ve temel sağlık hizmetinin bir par&ccedil;ası olarak sunduğunu, tarihsel ve du
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Osondu-Oti, Adaora, John Oluwaseun Agesin, and Oluwatomilade Olominu. "Impacts of Twitter (X) Diplomacy on Contemporary International Relations." Journal of Contemporary International Relations and Diplomacy 5, no. 2 (2024): 110–27. https://doi.org/10.53982/jcird.2024.0502.07-j.

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There is no gainsaying that social media has become a primary conduit of diplomacy and an arena for government-to-government interactions. In a Twitter diplomacy study conducted in 2018 and published by Burson and Wolfe, at least 97 percent of all 193 UN member states are currently active on Twitter (now rebranded as X), and they are increasingly eliciting public interest. The attention the public gives to world leaders’ tweets illustrates not only the political power of Twitter but also how Twitter challenges conventional diplomatic practices. In formal assemblies, social gatherings, unoffici
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Olanrewaju, Ayishat Sandra. "Audience’s Perception of X (Formerly Twitter) Trends as a Tool for the Nigerian Public Sphere." American Journal of Communication 6, no. 2 (2024): 42–64. http://dx.doi.org/10.47672/ajc.2216.

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Purpose: Unlike how we previously knew it to be, the public sphere has evolved to include digital spaces, making them metamorphose into digital public spheres. These digital spaces are more open, accessible, and void of certain bottlenecks. It is, therefore, now impossible to describe a public sphere without mentioning digital spaces. As such, this study aims to find out the audience's perception of X (formerly Twitter) trends as a tool for the Nigerian public sphere. Materials and Methods: The survey research method was used to obtain responses from 200 respondents, using the purposive sampli
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Fitrianti, Shafira Balqis, Trie Damayanti, and Anwar Sani. "Pengaruh Penggunaan Akun X @drhaltekehalte Terhadap Pemenuhan Kebutuhan Tempat Kuliner Followers." Komuniti : Jurnal Komunikasi dan Teknologi Informasi 16, no. 2 (2024): 195–216. https://doi.org/10.23917/komuniti.v16i2.6376.

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Masyarakat memanfaatkan media sosial untuk memenuhi kebutuhan tersebut. Media sosial yang saat ini sudah sangat berkembang pesat menawarkan berbagai platform dengan keunggulannya masing-masing, masyarakat bebas memilih media dan diantaranya memutuskan untuk menggunakan Twitter (X). Secara spesifik adalah menggunakan akun Twitter (X) @drhaltekehalte yang aktif membagikan informasi rekomendasi tempat kuliner dengan terangkum, rinci, dan bisa dijangkau oleh transportasi umum. Namun, terdapat perbedaan reaksi dari para followers akun Twitter (X) @drhaltekehalte terkait informasi rekomendasi tempat
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Wildanu, Eka, and Hesti Nauli Fitri Agasya. "Presidential Election Campaign of the Republic of Indonesia via Twitter (X)." Jurnal Polisci 1, no. 3 (2024): 132–41. http://dx.doi.org/10.62885/polisci.v1i3.159.

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The number of Twitter (X) users in Indonesia is 24 million people, ranked 5th in the world. Twitter tweets color the 2024 presidential election. The presidential candidate has a large Twitter following, along with his popularity. Prabowo has 4.5 million, Anies 4.5 million, and Ganjar 2.6 million followers on Twitter. Supporters of the presidential candidate can campaign with tweets to convey the programs and ideas of the presidential candidate they support to attract the sympathy of other Twitter readers. Twitter applies specific policies, namely paid political promotion posts. The policy incl
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Aldamen, Yasmin, and Amina Abdallah. "Dialogical Health Communication via Twitter (X) During COVID-19 in African Countries: Ghana as a Case Study." World 5, no. 4 (2024): 962–80. http://dx.doi.org/10.3390/world5040049.

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Social media platforms, such as Twitter (X), have a critical role in disseminating health information. The study aims to highlight the potential of Twitter (X) as an influential tool for health communication, in addition to providing findings related to public health communication strategies in Ghana. The study investigated the role of Twitter (X) as a platform for building interactive health communication between the health communication system and citizens in Ghana during the COVID-19 pandemic of 2020–2022. Additionally, it has the potential to contribute to building dialogical health commun
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Mukhseni, Muhammad Redzki Nurfadillah, and Rendra Widyatama. "The difference in public perception of the brand name Twitter in the old version and the new version." Symposium of Literature, Culture, and Communication (SYLECTION) 2022 3, no. 1 (2023): 466. http://dx.doi.org/10.12928/sylection.v3i1.14017.

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In March 2023, Elon Musk changed Twitter's logo to a white X symbol on a black background, replacing the old Twitter logo, which had been a blue bird image used for 17 years. This change sparked a debate, especially since people had become familiar with Twitter's old logo and had formed a connection with the social media platform through it. In marketing communication, the brand name reflects a company's identity and creates its own perception among the audience. Changes to the brand will also alter people's perceptions of the company. This research aims to uncover the audience's perception of
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Dissertations / Theses on the topic "Twitter (X)"

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Sigiliano, Daiana Maria Veiga. "Social TV: o laço social no backchannel de The X-Files." Universidade Federal de Juiz de Fora (UFJF), 2017. https://repositorio.ufjf.br/jspui/handle/ufjf/4010.

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Submitted by Renata Lopes (renatasil82@gmail.com) on 2017-04-10T12:03:09Z No. of bitstreams: 1 daianamariaveigasigiliano.pdf: 4382171 bytes, checksum: 00c98a07bfce59fb7b6c48d4e03cbc50 (MD5)<br>Approved for entry into archive by Adriana Oliveira (adriana.oliveira@ufjf.edu.br) on 2017-04-11T11:34:28Z (GMT) No. of bitstreams: 1 daianamariaveigasigiliano.pdf: 4382171 bytes, checksum: 00c98a07bfce59fb7b6c48d4e03cbc50 (MD5)<br>Made available in DSpace on 2017-04-11T11:34:28Z (GMT). No. of bitstreams: 1 daianamariaveigasigiliano.pdf: 4382171 bytes, checksum: 00c98a07bfce59fb7b6c48d4e03cbc50 (MD5)
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Politanò, Federica. "Quand twitter, c’est menacer : la menace dans les tweets présidentiels de Donald Trump : de Twitter à la presse française." Electronic Thesis or Diss., Paris Est, 2025. http://www.theses.fr/2025PESC0003.

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Les tweets présidentiels de Donald Trump ont représenté un objet d’étude privilégié pour les chercheurs et les spécialistes de diverses disciplines. Ils sont devenus monnaie courante au sein de multiples domaines de recherche, y compris les sciences du langage et le champ de l’analyse du discours.Cette thèse propose une analyse de la menace dans les tweets de Donald Trump, 45ᵉ Président des États-Unis. À l’ère de la numérisation du discours politique, ce travail interroge la relation du locuteur à ce phénomène linguistique et au contexte numérique d’énonciation. Le corpus comprend des captures
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Tarrade, Louise. "Approche computationnelle du changement linguistique sur Twitter : population, communautés, individus." Electronic Thesis or Diss., Lyon, École normale supérieure, 2025. http://www.theses.fr/2025ENSL0018.

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Cette thèse s’intéresse à la circulation des changements linguistiques sur Twitter en diachronie courte. Elle se focalise sur deux types de changements : les changements lexicaux, qui relèvent de l’apparition d’une nouvelle forme dans le lexique, et les changements sémantiques, qui relèvent de la modification du sens d’une forme existante. Le travail présenté ici s’inscrit dans une problématique majeure de l’étude sur le changement, à savoir la manière dont s’articulent variation, changement et réseau social. Plus précisément, il a pour visée d’étudier le processus de diffusion des innovations
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Fraga, Netto Juliana Regina. "Rôle des signaux faibles dans la prise de forme des discours : étude du réseau social X (ex-Twitter)." Electronic Thesis or Diss., Bourgogne Franche-Comté, 2024. http://www.theses.fr/2024UBFCH019.

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La présente recherche développe, à travers la plateforme numérique COCKTAIL, une analyse de la circulation des discours sur X (ex-Twitter) afin de détecter les tendances et les signaux faibles. La thèse s'appuie sur une méthode pluridisciplinaire, utilisant des algorithmes, pour construire un corpus de tweets. Le but des analyses quantitatives et qualitatives est de savoir comment les signaux faibles peuvent être identifiés dans la circulation des discours sur X. D’un point de vue théorique, le travail repose sur la question de la construction du sens et de savoir comment les signaux faibles é
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Song, Le. "Multimodal Interactional Practices in Live Streams on Twitter." Electronic Thesis or Diss., Institut polytechnique de Paris, 2024. http://www.theses.fr/2024IPPAT019.

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En tant que forme émergente d'interaction médiatisée, la diffusion en direct (live streaming) est devenue une pratique en pleine expansion qui combine les caractéristiques techniques et interactionnelles de l'interaction vidéo-médiatisée et du chat multi-participants. Le live streaming à l'aide d'appareils mobiles sur plusieurs plateformes est donc une pratique dans laquelle les diffuseurs (streamers) et les spectateurs interagissent sous des formes hautement asymétriques: l'affichage vidéo du diffuseur et le texte écrit du spectateur. Cette thèse de doctorat s'intéresse au live streaming en t
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Bridges, Judith C. "[X]splaininggender, race, class, and body: Metapragmatic disputes of linguistic authority and ideologies on Twitter, Reddit, and Tumblr." Scholar Commons, 2019. https://scholarcommons.usf.edu/etd/7750.

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This study investigates the language of “citizen sociolinguists,” everyday users of social network sites (SNS) who contribute to the discourses about language on Twitter, Reddit, and Tumblr, platforms with distinctive user demographics and technological affordances. The data were collected through keyword searches for mansplain, whitesplain, richsplain and thinsplain, metapragmatic neologisms which are lexical blends of the verb explain and one of four social categories. Disputes of macro-level ideologies are revealed by users’ creative meaning-making strategies and metapragmatic awareness of
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Hernandez, Fuentes Alejandra Maria. "Twitter comme source d’information : redéfinition des pratiques professionnelles des journalistes de la presse quotidienne nationale en France et en Espagne." Electronic Thesis or Diss., Université de Lorraine, 2024. https://docnum.univ-lorraine.fr/public/DDOC_T_2024_0201_HERNANDEZ_FUENTES.pdf.

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Cette thèse de doctorat porte sur l'usage de Twitter comme source d'information et son rôle dans la redéfinition des pratiques professionnelles des journalistes travaillant pour les quotidiens nationaux imprimés en France et en Espagne. Notre recherche révèle que les usages journalistiques de Twitter dans les deux contextes nationaux peuvent être classés en 14 catégories différentes, réparties en trois moments spécifiques du processus de production de l'information. La moitié de ces usages est stabilisée : il s'agir d'usages normalisés au sein du processus de fabrication. Les journalistes des
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Books on the topic "Twitter (X)"

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Edition, O. J. TWITTER Post Planner: 6 X 9 TWITTER Planner. Independently Published, 2021.

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A'cor, Em S. Twitter Crush: A Holiday, Gen X, Medical Romance. Independently Published, 2023.

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Gehl, Robert W. Move Slowly and Build Bridges. Oxford University PressNew York, NY, 2025. https://doi.org/10.1093/9780197776711.001.0001.

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Abstract Better social media is possible. Move Slowly and Build Bridges is the story of activists, software developers, artists, and everyday people who have built the fediverse, a noncentralized alternative social media system. Unlike big tech corporations like Facebook, TikTok, or X, the fediverse is comprised of thousands of small, independent communities who use a Web protocol to communicate with one another. These small communities govern themselves and moderate content at the human scale—compare that to Facebook and X, which try to moderate global conversations. And the fediverse isn’t b
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Quinn, Skylar. Twitter Post Planner, Use This Planner to Keep Track of Post , Dates, Post Numbers and Notes, Organize: Time Management, for Online Influencers and Those Who Love to Post Online, 8. 5 X 11, 120 Pages. Independently Published, 2021.

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Wiek, Till. I Could Give up Twitter but I'm Not a Quitter: 110 Game Sheets - 660 Tic-Tac-Toe Blank Games - Soft Cover Book for Kids for Traveling & Summer Vacations - Mini Game - Clever Kids - 110 Lined Pages - 6 X 9 in - 15. 24 X 22. 86 Cm - Single Player - Funny Grea. Independently Published, 2019.

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Wiek, Till. I Could Give up Twitter but I'm Not a Quitter: 110 Game Sheets - 660 Tic-Tac-Toe Blank Games - Soft Cover Book for Kids for Traveling & Summer Vacations - Mini Game - Clever Kids - 110 Lined Pages - 6 X 9 in - 15. 24 X 22. 86 Cm - Single Player - Funny Grea. Independently Published, 2019.

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Notebook, Vote for my president. Composition Notebook: TWITLER Anti Trump, Journal 6 X 9, 100 Page Blank Lined Paperback Journal/Notebook. Independently Published, 2020.

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Book chapters on the topic "Twitter (X)"

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Njathi, Anne W., and Eric Wamanji. "Twitter (X) Activism and Crisis Management." In Digital Public Relations and Marketing Communication Trends in Africa. Routledge, 2024. http://dx.doi.org/10.4324/9781032689654-5.

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Hardy, Alisa, Matthew Salzano, and Damien Smith Pfister. "From Black Twitter to Musk's X." In The Routledge Handbook of Rhetoric and Power. Routledge, 2024. http://dx.doi.org/10.4324/9781003430858-38.

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Lenehan, Fergal. "Learning About Colonialism by Scrolling?" In Studies in Digital Interculturality. transcript Verlag, 2024. http://dx.doi.org/10.14361/9783839468890-006.

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It is here argued that lifewide learning possibilities may also be viewed in relation to social media, not least the plat-form Twitter, recently rebranded as X, and the Twitter/X thread; a number of tweets threaded together to form a longer text which is then communicated to, often, a large number of people. Twitter threads may be seen as a lifewide textual offer containing cosmopolitan potentiality, meaning here the potential for a transformation in per-spective due to contact with others on global issues, as envisioned by Delanty (2008). It is also argued that the Twitter/X thread functions
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Wilmet, Audrey, and Robin Lamarche-Perrin. "Multidimensional Outlier Detection in Interaction Data: Application to Political Communication on Twitter." In Complex Networks X. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14459-3_12.

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Moreno-Ortiz, Antonio. "Managing Large Twitter Datasets." In Making Sense of Large Social Media Corpora. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-52719-7_3.

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AbstractThis chapter provides a thorough discussion of Twitter/X corpora in terms of compilation and management. Twitter corpora differ from other types of corpora in many aspects, as they are composed of a very large number of very small documents (tweets), each with a slew of metadata, that can be downloaded through scripts that make use of available APIs, which calls for certain tools and techniques. The type of language used in social media is also very different from other, more standard genres, both in form and content. When this is coupled with large-size corpora, effective sampling tec
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De Clerck, Bart, Filip Van Utterbeeck, Julien Petit, Ben Lauwens, Wim Mees, and Luis E. C. Rocha. "Maximum Entropy Networks Applied on Twitter Disinformation Datasets." In Complex Networks & Their Applications X. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93413-2_12.

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Abraham, Linda, Anthony Bonato, and Alexander Nazareth. "Small Number of Communities in Twitter Keyword Networks." In Complex Networks & Their Applications X. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93409-5_5.

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Nagar, Seema, Sameer Gupta, C. S. Bahushruth, Ferdous Ahmed Barbhuiya, and Kuntal Dey. "Homophily - a Driving Factor for Hate Speech on Twitter." In Complex Networks & Their Applications X. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93413-2_7.

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Kim, Jisu, Alina Sîrbu, Giulio Rossetti, and Fosca Giannotti. "Characterising Different Communities of Twitter Users: Migrants and Natives." In Complex Networks & Their Applications X. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93409-5_12.

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Roth, Camille, Jonathan St-Onge, and Katrin Herms. "Quoting is not Citing: Disentangling Affiliation and Interaction on Twitter." In Complex Networks & Their Applications X. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93409-5_58.

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Conference papers on the topic "Twitter (X)"

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Perozo, Niriaska, Giovanny González, Leonardo Rodríguez, and Héctor Torrejón. "Analysis of Emotions on Twitter(X) Through MASOES Affective Model." In 2024 L Latin American Computer Conference (CLEI). IEEE, 2024. http://dx.doi.org/10.1109/clei64178.2024.10700082.

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Mwendwa, Gideon, Lokesh Chouhan, Felix Etyang, Ngaira Mandela, and Uwineza Gift. "Combating Terrorism: Detecting and Analyzing Extremist Content on X (Formerly Twitter)." In 2024 3rd Edition of IEEE Delhi Section Flagship Conference (DELCON). IEEE, 2024. https://doi.org/10.1109/delcon64804.2024.10866328.

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Asha, S., Madhan M, Hari Krishnan P B, Hariharan S, Dharaneesh B, and Sai Jeet K. "Twitter (X) Spam Detection Using Natural Language Processing by Encoder Decoder Model." In 2024 1st International Conference on Sustainable Computing and Integrated Communication in Changing Landscape of AI (ICSCAI). IEEE, 2024. https://doi.org/10.1109/icscai61790.2024.10866112.

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Henríquez, Pablo A. "Sentiment Classification on Twitter(X) Through Ensemble Deep Random Vector Functional Links." In 2024 International Conference on Machine Learning and Applications (ICMLA). IEEE, 2024. https://doi.org/10.1109/icmla61862.2024.00251.

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Salomi, M., Govind Ashish Kalawate, and Yash Talreja. "Enhanced Sentiment Analysis of Twitter(X) Data Using an Ensemble Stacking Model." In 2025 International Conference on Artificial Intelligence and Data Engineering (AIDE). IEEE, 2025. https://doi.org/10.1109/aide64228.2025.10987415.

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T, Manimegalai, and Keerthana R. "Cross-Domain Sentiment Analysis and Abstractive Summarization of Reviews in X (Twitter)." In 2025 International Conference on Computational Robotics, Testing and Engineering Evaluation (ICCRTEE). IEEE, 2025. https://doi.org/10.1109/iccrtee64519.2025.11053036.

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Abdillah, Ainur Rafiq, Widodo, and Murien Nugraheni. "Sentiment Analysis on Dirty Vote Movie in X (Twitter) Using Convolutional Neural Network." In 2024 IEEE International Conference on Control & Automation, Electronics, Robotics, Internet of Things, and Artificial Intelligence (CERIA). IEEE, 2024. https://doi.org/10.1109/ceria64726.2024.10914732.

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Dionisius, Hizkia Duchari Putra, Nugie Ardhytama, and Yudy Purnama. "Analysis of Public Sentiment About Economic Recession Threat in Indonesia on Twitter (X)." In 2024 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS). IEEE, 2024. https://doi.org/10.1109/icimcis63449.2024.10957495.

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Chakravarthi, Bharathi Raja, Saranya Rajiakodi, Thenmozhi Durairaj, et al. "Overview on Political Multiclass Sentiment Analysis of Tamil X (Twitter) Comments: DravidianLangTech@NAACL 2025." In Proceedings of the Fifth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages. Association for Computational Linguistics, 2025. https://doi.org/10.18653/v1/2025.dravidianlangtech-1.126.

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S, Kalaivani K., Sanjay R, Thissyakkanna S. M, and Nirenjhanram S. K. "KSK@DravidianLangTech 2025: Political Multiclass Sentiment Analysis of Tamil X (Twitter) Comments Using Incremental Learning." In Proceedings of the Fifth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages. Association for Computational Linguistics, 2025. https://doi.org/10.18653/v1/2025.dravidianlangtech-1.38.

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Reports on the topic "Twitter (X)"

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Graham, Timothy, and Katherine M. FitzGerald. Bots, Fake News and Election Conspiracies: Disinformation During the Republican Primary Debate and the Trump Interview. Queensland University of Technology, 2023. http://dx.doi.org/10.5204/rep.eprints.242533.

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We used Alexandria Digital, a world leading disinformation detection technology, to analyse almost a million posts on X (formerly known as Twitter) and Reddit comments during the first Republican primary debate and counterprogrammed Tucker Carlson and Donald Trump interview on the 23rd of August. What we did: • Collected 949,259 posts from the platform X, formerly known as Twitter. These posts were collected if they contained one of 11 relevant hashtags or keywords and were posted between 8:45pm and 11:15pm EST on 23rd August 2023. • Collected 20,549 comments from two separate Reddit threads.
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López-López, Paulo Carlos. Comunidades digitales, redes sociales y procesos electorales en América Latina (2023-2024): perfiles, acciones y temas. Fundación Carolina, 2025. https://doi.org/10.33960/issn-e.1885-9119.dt101.

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Abstract:
Este Documento de Trabajo tiene como objetivo describir el perfil y el comportamiento de las comunidades digitales latinoamericanas, haciendo hincapié en los últimos procesos electorales realizados en la región (2023-2024). Se utilizan los datos de Latinobarómetro de los años 2017, 2020 y 2023, así como el software FanPage Karma a través de los indicadores de rendimiento más destacados. Como resultados más relevantes se identificaron los siguientes: a) el consumo de redes sociales está condicionado por variables sociodemográficas u otras como la brecha digital, creciendo notablemente entre los
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