Keeping Up with Power/Corruption in a Pandemic: A Study of an Investigative Journalist’s Twitter Handle by Omotayo Omitola

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Otomatisasi Pendeteksi Kata Baku Dan Tidak Baku Pada Data Twitter Berbasis KBBI by M. Irfan Raif, Nuraisa Novia Hidayati, Tekad Matulatan

“… Penelitian ini mengembangkan sistem deteksi otomatis kata-kata baku dan non-baku pada data Twitter berbasis Kamus Besar Bahasa Indonesia (KBBI). …”
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Laughter on Social Media Twitter: The Influence of Different Types of Humor on Positive Emotions in Generation Z by Utami Suhariningsih, Siti Rohmah Nurhayati

Subjects: “…generation z, humour, positive emotions, twitter…”
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Impression management techniques employed by listed companies on the Johannesburg Stock Exchange when using Twitter by Naledi Nkhi, Zakiyyah Varachia, Dannielle Cerbone

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Modeling the Interaction Networks about the Climate Change on Twitter: A Characterization of its Network Structure by Mary Luz Mouronte-López, Marta Subirán

“…This work studies the interaction networks (replying, retweeting, and quoting) that arise on Twitter in relation to such a relevant topic as climate change. …”
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Utilization of geocoding for mapping infrastructure impacts and mobility due to floods in indonesia based on twitter analytics by Muhammad Imam Taufiq, Abba Suganda Girsang

Subjects: “…geocoding, text mining, named entity recognition, stanfordner, twitter…”
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Affordances-in-Practice: How Social Norm Dynamics in Climate Change Publics Are Shaped on Instagram and Twitter by Nathalie Van Raemdonck, Ike Picone, Jo Pierson

“…For this purpose, we make a comparative analysis of the practices of users on Instagram and Twitter that engage with climate change content. We conducted 22 in-depth interviews with a purposively selected sample of worldwide Twitter and Instagram users. …”
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Analisis Perbandingan Model Bert Dan Xlnet Untuk Klasifikasi Tweet Bully Pada Twitter by Teuku Radillah, Okta Veza, Sarjon Defit

“… Fenomena bullying di media sosial, khususnya di Twitter, telah menjadi isu yang semakin memprihatinkan dengan dampak signifikan terhadap kesehatan mental pengguna. …”
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¿Quiénes tuitean? Perfil sociodemográfico de los usuarios de Twitter en México y en la Zona Metropolitana de la Ciudad de México, 2018 by Alejandro Sánchez-Zárate

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Jaringan Komunitas Berbasis Similaritas Topik Bahasan dan Emosi untuk Mengidentifikasi Perilaku Pengguna Twitter by Apriantoni Apriantoni, Diana Purwitasari, Agus Budi Raharjo

“…Pandemi COVID-19 menyebabkan situasi krisis yang berdampak pada perubahan perilaku pengguna Twitter terkait pengalaman distres publik. Perubahan perilaku positif bisa berdampak positif. …”
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Privacy-Preserving Discovery of Topic-Based Events from Social Sensor Signals: An Experimental Study on Twitter by Duc T. Nguyen, Jai E. Jung

“…Social network services (e.g., Twitter and Facebook) can be regarded as social sensors which can capture a number of events in the society. …”
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Analysis Of The Communication Network Structure Of The Keyword “Rempang” On Twitter Using A Social Network Analysis Approach by Rismawati Lukman, Andi Alimuddin Unde, Hasbi Marissangan, Ahmad Musafir, Elvis Tinting Paembonan, Elsa Claudia Salman, Nur Kalbina Razak

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Correction to: Keep your friends close, and your enemies closer: structural properties of negative relationships on Twitter by Jack Tacchi, Chiara Boldrini, Andrea Passarella, Marco Conti

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Colorectal Cancer Racial Equity Post Volume, Content, and Exposure: Observational Study Using Twitter Data by Chau Tong, Drew Margolin, Jeff Niederdeppe, Rumi Chunara, Jiawei Liu, Lea Jih-Vieira, Andy J King

“…Social media platforms like Twitter (now X) provide opportunities to disseminate health equity information widely, yet little is known about the availability, content, and reach of racial health equity information related to CRC on these platforms. …”
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Sentiment Analysis Of Indonesian Civil Servan Candidates 2023 Twitter Network With Naive Bayes Algorithm Method by Harman Akbar Tullah, Muh Akbar, Alem Febri Sonni, Akbar Iskandar, Erwin Gatot Amiruddin, Kamaruddin, Asnimar

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Examining power dynamics in global health governance using topic modeling and network analysis of Twitter data by Jennifer J Prah, Gian Franco Bermudez

“…We empirically tested whether global health governance (GHG) operates under the rational actor model (RAM) and characterised GHG power dynamics.Design We collected approximately 75 000 tweets of 20 key global health actors, between 2016 and 2020, using Twitter API. We generated priorities from tweets collected using topic modelling. …”
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Estrategias de descortesía verbal sexista hacia Irene Montero en los comentarios de Twitter (X) by Laura Melero Carnero

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Information Diffusion Model of Social Bots: An Analysis of the Spread of Coverage of China Issues by The New York Times on Twitter by Na Han, Hebo Huang, Jianjun Wang, Bin Shi, Li Ren

“…Based on the analysis of bots' posting frequency, influence, and retweeting relationship, we take the diffusion of The New York Times' coverage of Xinjiang issue on the overseas social platform Twitter as an example and employ the two-step flow model. …”
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Network Ripple Effects: How Twitter Deplatforming Flipped Authority Structure and Discourse of the Arizona Election Review Community by Michael Simeone, Steven R. Corman

“…Content moderation decisions can have variable impacts on the events and discourses they aim to regulate. This study analyzes Twitter data from before and after the removal of key Arizona Election Audit Twitter accounts in March of 2021. …”
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Ekstraksi Knowledge tentang Penyebaran #Ratnamiliksiapa pada Jejaring Sosial (Twitter) menggunakan Social Network Analysis (SNA) by Lyonly Tomasoa, Ade Iriani, Irwan Sembiring

“…The opinions of Twitter users had created a communication network discussed RS persecution as a political issue with #RatnaMilikSiapa.  …”
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