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Artículos de revistas sobre el tema "Platforms like Twitter"

Autor: Grafiati

Publicado: 27 de julio de 2024

Última modificación: 31 de julio de 2025

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1

Guidry, Jeanine P. D., Ashlee N. Sawyer, Candace W. Burton, and Kellie E. Carlyle. "#NotOkay: Stories About Abuse on Instagram and Twitter." Partner Abuse 11, no. 2 (2020): 117–39. http://dx.doi.org/10.1891/pa-d-18-00037.

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Social media platforms like Twitter and Instagram have recently been used as venues for discussing abusive relationships and sexual violence. This study examines the ways in which social media users and how Twitter and Instagram users engaged with these posts by analyzing 500 Twitter and 500 Instagram posts focused on #NotOkay using a quantitative content analysis. There were marked differences between the posts on the two platforms as well as between engagement with these posts: Instagram overall elicited a higher median level of engagement than Twitter as well as more frequent expressions of

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Mrs., Sonal Devlekar, and Rashmi Thakur Prof. "ENSEMBLE BASED TWITTER SENTIMENT ANALYSIS ON BIG DATA USING APACHE SPARK." Volume 8 Issue 12 8, no. 12 (2021): 1–6. https://doi.org/10.5281/zenodo.5795058.

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The development of social media platforms like Twitter and Facebook has been a revolution in the history of mankind. Social media web applications played a great role in getting the world together. There are platforms like twitter where people can share their opinion about an issue which can be seen and heard by the entire world. Tweet count on twitter for a day is about 500 million tweets. By analysing these tweets on sentiment basis we can understand the public opinion regarding a particular matter. The system developed will perform a sentiment analysis on live twitter data using an ensemble

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Garg, Divyani, Ayush Agarwal, and Venugopalan Y. Vishnu. "A Bird in the Hand: A Neurologist's Guide to Efficient Tweeting in the Age of Social Media." US Neurology 18, no. 2 (2022): 76. http://dx.doi.org/10.17925/usn.2022.18.2.76.

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Social media platforms, such as Twitter, are increasingly used by clinicians, including neurologists. Twitter represents a convenient means to reach out to fellow clinicians, researchers and patients alike. To make maximum use of these platforms, they must be used pragmatically and within the ambit of ethical principles that guide all medical practice. As neurologists, familiarizing ourselves with the technical know-how and potential uses of Twitter empowers us best to use it as a valuable clinical and networking tool. Twitter offers diverse formats for a neurologist, thus enabling the creatio

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Karimah, Utami Nur, Raihan Athaya Ramadhan Tarigan, Julaika Aristianty, Adhwa Alfi Najmah, and Siti Nurul Azkiyah. "Students' Perception on the Use of Twitter as a Learning Media for English Vocabulary and Reading at the Fifth Semester of English Education Department in University." IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature 12, no. 2 (2024): 1567–81. https://doi.org/10.24256/ideas.v12i2.4648.

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As digital technology continues to reshape educational methods, understanding students' perceptions regarding Twitter's effectiveness as a learning tool for enhancing English vocabulary and reading comprehension is essential for educators and researchers seeking to optimize language learning strategies. Despite a large amount of literature on social media platforms, there has been limited exploration of the specific features of Twitter that facilitate interactive learning, group interaction, vocabulary and reading development, especially when compared to other social media platforms. The purpo

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Meier, Florian. "TWikiL – the Twitter Wikipedia Link Dataset." Proceedings of the International AAAI Conference on Web and Social Media 16 (May 31, 2022): 1292–301. http://dx.doi.org/10.1609/icwsm.v16i1.19381.

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Recent research has shown how strongly Wikipedia and other web services or platforms are connected. For example, search engines rely heavily on surfacing Wikipedia links to satisfy their users' information needs and volunteer-created Wikipedia content frequently gets re-used on other social media platforms like Reddit. However, publicly accessible datasets that enable researchers to study the interrelationship between Wikipedia and other platforms are sparse. In addition to that, most studies only focus on certain points in time and don't consider the historical perspective. To begin solving t

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Howard, Heather A., Sarah Huber, Lisa V. Carter, and Elizabeth Anne Moore. "Academic Libraries on Social Media: Finding the Students and the Information They Want." Information Technology and Libraries 37, no. 1 (2018): 8–18. http://dx.doi.org/10.6017/ital.v37i1.10160.

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Librarians from Purdue University wanted to determine which social media platforms students use, which platforms they would like the library to use, and what content they would like to see from the library on each of these platforms. We conducted a survey at four of the nine campus libraries to determine student social media habits and preferences. Results show that students currently use Facebook, YouTube, and Snapchat more than other social media types; however, students responded that they would like to see the library on Facebook, Instagram, and Twitter. Students wanted nearly all types of

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Mendes, Kaitlynn, Jessalynn Keller, and Jessica Ringrose. "Digitized narratives of sexual violence: Making sexual violence felt and known through digital disclosures." New Media & Society 21, no. 6 (2018): 1290–310. http://dx.doi.org/10.1177/1461444818820069.

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In this article, we argue that social media platforms like Tumblr and Twitter have facilitated an emergence of “digitized narratives” of sexual violence. These narratives are rooted in historical ways in which feminists have discursively articulated sexual violence, yet are shaped by distinctive “platform vernacular” or the conventions, affordances, and restrictions of the platforms in which they appear. Drawing on a qualitative content and critical discourse analysis of 450 texts from the Tumblr site Who Needs Feminism? and the hashtag #BeenRapedNeverReported, we argue that digital platforms

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Mane, Prof Dipali. "Online Public Shaming on Social Media: Detection, Analysis and Mitigation." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 7420–24. http://dx.doi.org/10.22214/ijraset.2023.53349.

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Abstract: Social networking networks have billions of users worldwide. Users' participation in various social networking sites, like twitter, can occasionally have major and unfavourable effects on day-to-day living. Large social media platforms have evolved into a place where users can spread a lot of unwanted and pointless content. Twitter, one of the biggest social media platforms ever, has become the most popular microblogging site for the spread of useless information. In this project idea, the duty of identifying public scandal on Twitter is changed. Spam and non spam are the two subcate

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Thapa, Prakash. "The Rise of Web 2.0 and Digital Narcissism: Rethinking the Aesthetics of Death." Outlook: Journal of English Studies 14 (July 17, 2023): 33–45. http://dx.doi.org/10.3126/ojes.v14i1.56655.

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The study aims to analyze the posts related to death on social media platforms like Facebook and Twitter. Thus, the study examines the gravity of death among the social media users and the impact of digital narcissism on the aesthetics of death. The theoretical framework for this study is based on Christopher Lasch's book The Culture of Narcissism, which provides insights into the influence of web 2.0, particularly the digital platforms that are used to post death related contents. The study utilizes a summative content analysis approach, focusing on selected statuses and corresponding comment

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Yang, Yang, Shiyu Zhang, Wenting Lin, and Ting Wen. "Exploring Public Sentiment on Online Learning During Covid-19: A Twitter-based Analysis." Communications in Humanities Research 68, no. 1 (2025): 124–43. https://doi.org/10.54254/2753-7064/2024.23614.

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This study investigates the evolution of public sentiment toward online learning during the COVID-19 pandemic, utilizing Twitter data collected between April 2020 and December 2021. By using MDCOR for topic identification and SENA for sentiment analysis, the study examined changes in affective responses across major online learning platforms including Zoom, Udemy, Canvas and Coursera. It was observed that positive emotions were most prominent in the early stages of the pandemic, as online learning became crucial due to social distancing. However, while platforms relying on synchronous interact

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Oladimeji Uchenna Lawrence, Ayodimeji Joshua Falade, Yusuff Bayonle Sulaimon, Shehu Abdullahi Abdulkadir, and Victoria Uchechi Onuoha. "Evaluating the effectiveness of social media in health communication: assessing the impact and outcomes of health communication campaigns conducted on x (Twitter)." World Journal of Advanced Research and Reviews 22, no. 2 (2024): 1107–12. http://dx.doi.org/10.30574/wjarr.2024.22.2.1413.

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Twitter, a leading health communication channel, has effectively promoted health awareness and continues to do so. It provides health information quickly and easily, serving as a vital source of health information. Health practitioners often use Twitter to disseminate health information, a trend that has become more prevalent than engaging audiences in multi-way conversations and interactions. This reassures us of the platform's effectiveness in reaching a broad audience. Twitter has emerged as a powerful tool for reaching a broader audience, offering platforms like Twitter Space for discussio

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Oladimeji, Uchenna Lawrence, Joshua Falade Ayodimeji, Bayonle Sulaimon Yusuff, Abdullahi Abdulkadir Shehu, and Uchechi Onuoha Victoria. "Evaluating the effectiveness of social media in health communication: assessing the impact and outcomes of health communication campaigns conducted on x (Twitter)." World Journal of Advanced Research and Reviews 22, no. 2 (2024): 1107–12. https://doi.org/10.5281/zenodo.14614728.

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Twitter, a leading health communication channel, has effectively promoted health awareness and continues to do so. It provides health information quickly and easily, serving as a vital source of health information. Health practitioners often use Twitter to disseminate health information, a trend that has become more prevalent than engaging audiences in multi-way conversations and interactions. This reassures us of the platform's effectiveness in reaching a broad audience. Twitter has emerged as a powerful tool for reaching a broader audience, offering platforms like Twitter Space for discussio

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13

Vishwakarma, Vaibhav Kumar, Prabhakar Pandey, and Sujeet Kapur. "A Comparative Study Of Young- Aged Adults And Middle-Aged Adults Consumers Usage Of Digital Marketing Platforms In The Selection Of Food And Beverage Outlets." PUSA Journal of Hospitality and Applied Sciences 9, no. 1 (2023): 38–46. http://dx.doi.org/10.48165/pjhas.2023.9.1.5.

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Background: The promotion of brands via the internet and other digital communication channels is known as digital marketing, sometimes known as online marketing. Digital marketing is quite important for the restaurant industry as well. Objective: The current study focuses on several online channels, like as websites, social media, email marketing, telephone marketing, etc., and how young- aged adults and middle-aged adults consumers, use these platforms to choose F&B establishments in Lucknow City. Methodology: Central tendency technique was implemented to achieve the objectives where weig

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Diaz, Stephanie, Jenna Freedman, Dorothea Salo, et al. "Idea Lab." Journal of Library Outreach and Engagement 3 (September 7, 2023): 154–61. http://dx.doi.org/10.21900/j.jloe.v3.1235.

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In recent years, social media companies like Twitter (or “X”) and Meta have come under scrutiny. These companies face data leaks, provide platforms for hate speech and disinformation, promote unchecked echo chambers, and are becoming increasingly predatory. Still, many libraries continue to use these platforms as a convenient tool to reach their users. Considering these ethical challenges, we sent out a call for contributions targeted to LIS professionals and students that asked, “should librarians and libraries walk our digital footprints away from exploitative platforms?” Potential authors w

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Mohammed Saeed, Maryam Ahmed, and Kanaan Khudher Hasan. "Domestication and Foreignization in Translating Polite Tweets." JOURNAL OF LANGUAGE STUDIES 8, no. 8 (2024): 193–217. http://dx.doi.org/10.25130/lang.8.8.11.

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Translation strategies, domestication and foreignization bridge the linguistic and cultural gaps. Domestication adapts foreign texts for target readers, often sacrificing cultural nuances, as seen in historical examples like Rome's assimilation of Greek texts. Foreignization preserves the original text's cultural distinctions. On social media like Twitter, translators face unique challenges with its character limit and specific lexicon. They must decide between domesticating tweets for clarity or foreignizing them to retain cultural elements. This paper explores domestication and foreignizatio

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Zore, Soniya, Amol Bhosale, and Pratibha Chavan. "Sentiment Analysis." International Journal of Electronics and Computer Applications 1, no. 2 (2024): 50–54. https://doi.org/10.70968/ijeaca.v1i2.8.

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Social media platforms like Twitter have become a rich source of real-time data and public sentiment. Analysing sentiment on Twitter is essential for various applications, from brand monitoring to political analysis. This work focuses on Twitter sentiment analysis, employing natural language processing (NLP) techniques to categorize tweets as positive, negative, or neutral. We collect a large dataset of tweets, pre-process the text, and train machine learning models to predict sentiment. Our goal is to provide insights into public sentiment on various topics, trends, and events, which can be v

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Khaled, Hasan. "Big Tech, Social Media, and American Foreign Policy: The Role of Elon Musk and Donald Trump in Shaping Global Politics." International Journal of Social Science and Human Research 08, no. 03 (2025): 1867–72. https://doi.org/10.5281/zenodo.15104548.

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This paper examines the growing influence of Big Tech companies and social media platforms on American foreign policy, with a particular focus on the roles played by Elon Musk and Donald Trump. The rise of social media as a tool for political communication and diplomacy has transformed the way nations interact, and private actors like Musk have become key players in global politics. The paper analyzes how Trump's use of Twitter redefined presidential communication and its impact on foreign policy. It also explores Elon Musk's influence through his control of platforms like Twitter (now X) and

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Choesang, Tenzin, and Boppuru Rudra Prathap. "Detection of twitter hate tweets leading to crime using multiseries bert model." Journal of Information and Optimization Sciences 45, no. 4 (2024): 885–96. http://dx.doi.org/10.47974/jios-1613.

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Addressing hate speech on social media platforms is a pressing concern, particularly on platforms like Twitter and Facebook. To date, extensive research and numerous projects on the subject of hate speech detection and prevention have been conducted, as well as for crime detection and its prevention. However, there is a major void in the current research terrain whereby there exists no specific effort to study how hate speech and crime are related globally. This research work proposes a multi-series methodology to investigate the complex linkages between online hate speech and real world acts

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Sengaliappan, Dr M., and N. Anbarasan. "Twitter Sentiment Analysing Using AI." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 09 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem37634.

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Sentiment analysis is a technique used to gather viewpoints, attitudes, and feelings from social media platforms like Twitter. It is now a well-liked field of study. Textual data is the main emphasis of the traditional approach to sentiment a Twitter is the most popular microblogging social networking site where users can send updates in the form of tweets on various topics. In this work, a labeled dataset that is freely accessible on Kaggle is employed, and a thorough set of pre-processing procedures is organized to gradually make the tweets suitable for handling using standard language handl

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Fair, Gabriel, and Ryan Wesslen. "Shouting into the Void: A Database of the Alternative Social Media Platform Gab." Proceedings of the International AAAI Conference on Web and Social Media 13 (July 6, 2019): 608–10. http://dx.doi.org/10.1609/icwsm.v13i01.3258.

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As social media platforms have increased their role as content moderators, alternative social media platforms have emerged with fewer rules and policies on moderating content. One such platform is Gab, a social media platform similar to Twitter that champions free speech with minimal standards on content. Early research has linked this platform with alt-right, hate speech, conspiracy theories, and other alternative content that is sometimes marginalized in mainstream social media platforms like Twitter and Facebook. In an effort to provide a means for researchers to study this platform, we int

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Nitin, S. Thakare. "Micro-Blogging- A Current Literary Trend." International Journal of Advance and Applied Research S6, no. 18 (2025): 639–40. https://doi.org/10.5281/zenodo.15260748.

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<em>The emergence of micro-blogging as a new form of literacy expression within the field of English language like and literature analyzing How platforms like twitter and Instagram enable users to share concise, often Ephemeral thoughts and observations impacting the way narratives are constructed. Disseminated and received while also exploring the implications of character limitations visual integration and the dynamic nature of line discourse on literacy analysis and creative writing practices. In English language and literature micro-blogging can be used as a tool to foster, quick enaging w

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Toshturdiyev, Ilhom Jurayev Uralbek Iskandarova Nilufar. "THE ROLE OF SOCIAL NETWORKS IN HUMAN LIFE TODAY." ILM-FAN VA INNOVATSIYA ILMIY-AMALIY KONFERENSIYASI 2, no. 11 (2023): 76–80. https://doi.org/10.5281/zenodo.8004080.

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Social networks have become an integral part of human life today. They have revolutionized the way people connect, communicate, and share information with each other. Social networks like Facebook, Twitter, Instagram, and LinkedIn have a profound impact on society. social networks have changed the way people communicate with each other. People can now easily connect with friends and family members from different parts of the world through social media platforms.  

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Leber, Andrew, and Alexei Abrahams. "A Storm of Tweets: Social Media Manipulation During the Gulf Crisis." Review of Middle East Studies 53, no. 2 (2019): 241–58. http://dx.doi.org/10.1017/rms.2019.45.

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AbstractSocial media platforms like Facebook and Twitter were heralded circa 2009–2011 as ‘liberation technology’ that would facilitate mass mobilization against Middle Eastern authoritarians. In this article, however, we present evidence from the ongoing Gulf Crisis (2017-present) that regimes can now exploit Twitter as an outlet for political propaganda. Drawing in part on novel data collected by the authors, we present strong evidence of state actors manipulating discourse on Twitter through direct intervention, offline coercion or co-optation of existing social-media “influencers,” and the

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Cinelli, Matteo, Gianmarco De Francisci Morales, Alessandro Galeazzi, Walter Quattrociocchi, and Michele Starnini. "The echo chamber effect on social media." Proceedings of the National Academy of Sciences 118, no. 9 (2021): e2023301118. http://dx.doi.org/10.1073/pnas.2023301118.

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Social media may limit the exposure to diverse perspectives and favor the formation of groups of like-minded users framing and reinforcing a shared narrative, that is, echo chambers. However, the interaction paradigms among users and feed algorithms greatly vary across social media platforms. This paper explores the key differences between the main social media platforms and how they are likely to influence information spreading and echo chambers’ formation. We perform a comparative analysis of more than 100 million pieces of content concerning several controversial topics (e.g., gun control,

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Kumar, Raman, Tushar Anand, Vishal Vyas, Sushant Kumar, and Swati Kashyap. "Review Paper: Social Media Sentiment Analysis Using Twitter Dataset." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 11 (2023): 1–11. http://dx.doi.org/10.55041/ijsrem27294.

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The expansion of social media platforms, particularly Twitter, has transformed them into vast databases of user-generated content expressing a wide range of thoughts and emotions. This review delves into the field of conceptual analysis applied to Twitter datasets, focusing on machine learning. This article provides an overview of methods, techniques, and operational models for sentiment analysis using machine learning in the specific context of Twitter. Introducing the evolution of machine learning applied to the Twitter dataset, starting by exploring the main concepts of sentiment analysis.

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Gupta, Mukul, Pradeep Kumar, and Bharat Bhasker. "Clustering of Micro-Messages Using Similarity Upper Approximation." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 25, no. 01 (2017): 53–79. http://dx.doi.org/10.1142/s0218488517500039.

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Microblogging platforms like Twitter, Tumblr and Plurk have radically changed our lives. The presence of millions of people has made these platforms a preferred channel for communication. A large amount of User Generated Content, on these platforms, has attracted researchers and practitioners to mine and extract information nuggets. For information extraction, clustering is an important and widely used mining operation. This paper addresses the issue of clustering of micro-messages and corresponding users based on the text content of micro-messages that reflect their primitive interest. In thi

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Jhaver, Shagun, Christian Boylston, Diyi Yang, and Amy Bruckman. "Evaluating the Effectiveness of Deplatforming as a Moderation Strategy on Twitter." Proceedings of the ACM on Human-Computer Interaction 5, CSCW2 (2021): 1–30. http://dx.doi.org/10.1145/3479525.

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Deplatforming refers to the permanent ban of controversial public figures with large followings on social media sites. In recent years, platforms like Facebook, Twitter and YouTube have deplatformed many influencers to curb the spread of offensive speech. We present a case study of three high-profile influencers who were deplatformed on Twitter---Alex Jones, Milo Yiannopoulos, and Owen Benjamin. Working with over 49M tweets, we found that deplatforming significantly reduced the number of conversations about all three individuals on Twitter. Further, analyzing the Twitter-wide activity of these

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Padhy, Manjog, Umar Muhammad Modibbo, Rasmita Rautray, Subhranshu Sekhar Tripathy, and Sujit Bebortta. "Application of Machine Learning Techniques to Classify Twitter Sentiments Using Vectorization Techniques." Algorithms 17, no. 11 (2024): 486. http://dx.doi.org/10.3390/a17110486.

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The advancements in social networking have empowered open expression on micro-blogging platforms like Twitter. Traditional Twitter Sentiment Analysis (TSA) faces challenges due to rule-based or dictionary algorithms, dealing with feature selection, ambiguity, sparse data, and language variations. This study proposed a classification framework for Twitter sentiment data using word count vectorization and machine learning techniques to reduce the difficulties faced with annotated sentiment-labelled tweets. Various classifiers (Naïve Bayes (NB), Decision Tree (DT), K-Nearest Neighbors (KNN), Logi

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Watanabe, Nicholas M., Grace Yan, and Brian P. Soebbing. "Consumer Interest in Major League Baseball: An Analytical Modeling of Twitter." Journal of Sport Management 30, no. 2 (2016): 207–20. http://dx.doi.org/10.1123/jsm.2015-0121.

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Understanding how consumers interact with sport brands on digital platforms is of increasing importance to the sport industry. In this study, through a nexus of consumer behavior and economic literatures, the examination focuses on consumer interest in major league baseball teams on social media platforms from July 2013 to June 2014. Specifically, two generalized least squares regression models were used that considered a variety of factors, including market characteristics, scheduling, and social media use and management. The findings display varying results of short- and long-term consumer i

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Voinea, Dan Valeriu. "TAKING OVER TWITTER – BALANCING FREE SPEECH AND CONTENT MODERATION." Annals of the University of Craiova for Journalism, Communication and Management 8, no. 1 (2022): 139–44. https://doi.org/10.5281/zenodo.15249275.

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In this paper we examine the significant changes in content moderation and free speech policies at Twitter following Elon Musk's controversial $44 billion acquisition in 2022. We trace the takeover process and subsequent organizational shifts, including massive layoffs and altered content guidelines. The study explores the complex balance between fostering free expression and mitigating harmful content on social media platforms, contextualizing Twitter's challenges within broader debates on digital governance and online discourse. The research analyzes Twitter's pre- and post-acquisition appro

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Shinde, Ganesh K. "Sentiment Analysis on Twitter Hashtag Datasets." International Journal for Research in Applied Science and Engineering Technology 9, no. 12 (2021): 278–81. http://dx.doi.org/10.22214/ijraset.2021.39201.

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Abstract: Sentiment Analysis has improvement in online shopping platforms, scientific surveys from political polls, business intelligence, etc. In this we trying to analyse the twitter posts about Hashtag like #MakeinIndia using Machine Learning approach. By doing opinion mining in a specific area, it is possible to identify the effect of area information in sentiment analysis. We put forth a feature vector for classifying the tweets as positive, negative and neutral. After that applied machine learning algorithms namely: MaxEnt and SVM. We utilised Unigram, Bigram and Trigram Features to gene

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Naik, Mr. Anand H., and Mrs. Akshata Jadhav-Patil. "Who Uses Social Media More: Boys or Girls?" International Journal of Advance and Applied Research 6, no. 25(B) (2025): 98–100. https://doi.org/10.5281/zenodo.15314574.

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<strong>Abstract:</strong> The main point of doing this kind of research is that, between boys and girls who uses social networking sites more? Social networking sites has emerged as an essential component daily life for both boys and girls. However, their usage patterns, preferences and time spent on various platforms differ significantly. While both (girls and boys) engage actively in social networking sites, our research suggest that girls are more use of digital platforms for communication and self-expression, whereas boys are more inclined toward gaming and video content. As a digital spa

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Won Park, Youngin You, and Kyungho Lee. "Twitter Sentiment Analysis using Machine Learning." Research Briefs on Information and Communication Technology Evolution 3 (October 15, 2017): 91–101. http://dx.doi.org/10.56801/rebicte.v3i.48.

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As the number of social media users is being higher, many people are sharing various opinions andeach country’s real-time situation by online. Also, the influence of online information is increasingto such an extent that the individual’s actual behavior or situation can be estimated. In this situation,researches to analyze through social media are being actively carried out in order to identify problemsin real life. In this research, we proved that we can infer actual behavior or situation based onindividual social media activities. This research focused on the Twitter platform that is activel

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Ali, Irfan, and Zafar Iqbal. "Fake News on COVID-19: A Comparative Analysis of Facebook and Twitter." Online Media and Society 5, no. 2 (2024): 42–58. https://doi.org/10.71016/oms/9wcgzt82.

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Aim of the Study: Along with the COVID-19 pandemic, we are also fighting 'Fake news. Fake news and rumors are rampant on social media. Believing in rumors can cause significant harm. The global spread of the novel coronavirus is affected by the spread of related misinformation, the so-called COVID-19 fake news that makes populations more vulnerable to the disease through resistance to mitigation efforts. Researchers analyzed the prevalence and diffusion of links to misinformation content about the pandemic across two major social media platforms, Twitter and Facebook. Methodology: A qualitativ

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Olagunju, Afeez Ayomide, and Iyabo Olukemi Awoyelu. "Performance Evaluation of Fake News Detection Models." International Journal of Information Technology and Computer Science 16, no. 6 (2024): 89–100. https://doi.org/10.5815/ijitcs.2024.06.07.

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The rapid spread of misinformation on social media platforms, especially Twitter, presents a challenge in the digital age. Traditional fact-checking struggles with the volume and speed of misinformation, while existing detection systems often focus solely on linguistic features, ignoring factors like source credibility, user interactions, and context. Current automated systems also lack the accuracy to differentiate between genuine and fake news, resulting in high rates of false positives and negatives. This study investigates the creation of a Twitter bot for detecting fake news using deep le

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Kejriwal, Mayank, and Yao Gu. "A Pipeline for Rapid Post-Crisis Twitter Data Acquisition, Filtering and Visualization." Technologies 7, no. 2 (2019): 33. http://dx.doi.org/10.3390/technologies7020033.

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Due to instant availability of data on social media platforms like Twitter, and advances in machine learning and data management technology, real-time crisis informatics has emerged as a prolific research area in the last decade. Although several benchmarks are now available, especially on portals like CrisisLex, an important, practical problem that has not been addressed thus far is the rapid acquisition, benchmarking and visual exploration of data from free, publicly available streams like the Twitter API in the immediate aftermath of a crisis. In this paper, we present such a pipeline for f

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Jadhav, Anurag. "Twitter Sentiment Analysis on Chatgpt Tweets." International Journal for Research in Applied Science and Engineering Technology 11, no. 11 (2023): 1310–14. http://dx.doi.org/10.22214/ijraset.2023.56738.

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Abstract: This study investigates multilingual sentiment analysis within tweets on ChatGPT, an AI conversational model, employing Support Vector Machines (SVM) and BERT, an advanced language model. It aims to detect and classify emotions, including emoji identification, embedded within diverse messages across multiple languages on Twitter. By leveraging SVM's text classification and BERT's contextual understanding in various languages, the research delves into preprocessing techniques and feature engineering for sentiment analysis, encompassing multilingual and emoji detection. Furthermore, it

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A/P Mahinder Singh, Harveena Kaur, and Arnold Puyok. "Political Satire and Its Influence on the Youth Political Perception." Trends in Undergraduate Research 4, no. 2 (2021): h18–28. http://dx.doi.org/10.33736/tur.4096.2021.

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This article is based on research that explored the different forms of political satire on social media and examined whether political satire has any impact on the political perception of the youths. Social media platforms such as Facebook, Twitter, Instagram and so on. A mixed methodology was adopted in this research involving content analysis and survey. This study was conducted in Kuala Lumpur involving 50 respondents from the age of 18 to 40 years old. Content analysis was used to explore the forms of political satire. There were seven different forms of political satire analysed in this r

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Ellis, Joseph M. "Pop Culture, Twitter, and Study Abroad: Estonia as a Case Study." PS: Political Science & Politics 47, no. 01 (2013): 204–8. http://dx.doi.org/10.1017/s1049096513001595.

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AbstractThis article highlights a number of different pedagogical practices that can be used with study abroad programs, both classroom methods and out-of-class techniques. In this particular class—which focused on Estonia's Singing Revolution and included a 10-day trip abroad to Estonia—social media platforms like Twitter and Tumblr were frequently used to create collaboration among students. In addition, Estonian music and pop culture were studied, giving students a unique insight into a culture very foreign from their own. Although Estonia was the focus of this particular class, the results

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Saadi, Wafa, Fatima Zohra Laallam, Messaoud Mezati, Dikra Louiza Youmbai, and Nour Elhouda Messaoudi. "Enhancing emotion detection on Twitter: an ensemble clustering approach utilizing emojis and keywords across multilingual datasets." STUDIES IN ENGINEERING AND EXACT SCIENCES 5, no. 2 (2024): e10548. http://dx.doi.org/10.54021/seesv5n2-522.

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Social media has become a vital element of everyday life, shaping domains like business, politics, and personal interactions. Emotions play a critical role in these areas, necessitating accurate detection and interpretation, especially on platforms like Twitter (X), which feature short texts, various data formats (such as words, Emojis, and numbers), and multilingual content, including dialects. This study explores the importance of Emojis and keywords in positively interpreting emotions on Twitter (X). It uses ensemble-clustering techniques, combining different clustering algorithms like KMea

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Zignani, Matteo, Sabrina Gaito, and Gian Paolo Rossi. "Follow the “Mastodon”: Structure and Evolution of a Decentralized Online Social Network." Proceedings of the International AAAI Conference on Web and Social Media 12, no. 1 (2018): 541–50. http://dx.doi.org/10.1609/icwsm.v12i1.14988.

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In this paper we present a dataset containing both the network of the "follow" relationships and its growth in terms of new connections and users, all which we obtained by mining the decentralized online social network named Mastodon. The dataset is combined with usage statistics and meta-data (geographical location and allowed topics) about the servers comprising the platform's architecture. These server are called instances. The paper also analyzes the overall structure of the Mastodon social network, focusing on its diversity w.r.t. other commercial microblogging platforms such as Twitter.

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Masimdjanova, Muqaddam Xikmatovna. "SOCIAL MEDIA MARKETING ANALYSIS IN BUSINESS DEVELOPMENT." EURASIAN JOURNAL OF ACADEMIC RESEARCH 2, no. 12 (2022): 1178–90. https://doi.org/10.5281/zenodo.7393252.

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The popularity of social media has led to the opening of a new avenue – digital marketing, which uses different digital platforms to promote a product or service. Social media marketing is a part of the digital marketing umbrella that markets products and services on social media platforms like Facebook and Twitter. There are many positive impacts of social media on businesses, which we’ll discuss later in the article. Furthermore, we will evaluate the impact of social media on the business industries.

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Morris, David S. "Twitter Versus the Traditional Media." Social Science Computer Review 36, no. 4 (2017): 456–68. http://dx.doi.org/10.1177/0894439317721441.

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In the 2016 U.S. presidential campaign, both the traditional media and social media platforms, like Twitter, were critical in attempts to influence voters. Prior to the 2016 presidential election, the assumption was that campaign messages sent through the traditional media are perceived as more effectual by the public than those sent via Twitter. But after the election of Donald Trump, there is now a sense that things may have changed. In this new era of American politics and campaign discourse, do campaign messages sent via Twitter resonate equally with messages sent through the traditional m

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JOE, Sarah Chidiebere. "The old guard: Social media discourse on Atiku Abubakar's 2023 presidential ambition." Nigerian Journal of Communication Review 1, no. 1 (2022): 99–113. https://doi.org/10.5281/zenodo.10863267.

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Social media platforms serve as alternative means of communication for many across the globe and as such have emerged as critical instruments for political discourse. Twitter, for instance, owing to its affordances enables the rapid spread of information and has thus become a strategic tool for political actors. Using social media, citizens challenge government actions and policies, while politicians use the platforms to make announcements, self-promote, and directly engage voters. Research has shown that by reason of the public sphere-like composition of these platforms, social media discours

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Arnett, Autumn A. "Is AI making faculty's jobs worse?" Enrollment Management Report 28, no. 8 (2024): 5–7. http://dx.doi.org/10.1002/emt.31310.

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Rua Mae Williams, an assistant professor in the User Experience Design program at Purdue University, recently shared on X (the network formerly known as Twitter) the ways implicit bias about who and what intelligence looks and sounds like inspires greater use of artificial intelligence platforms, such as ChatGPT, among students who don’t feel they measure up.

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Arnett, Autumn A. "Is AI making faculty's jobs worse?" Successful Registrar 24, no. 9 (2024): 5–7. http://dx.doi.org/10.1002/tsr.31367.

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Rua Mae Williams, an assistant professor in the User Experience Design program at Purdue University, recently shared on X (the network formerly known as Twitter) the ways implicit bias about who and what intelligence looks and sounds like inspires greater use of artificial intelligence platforms, such as ChatGPT, among students who don’t feel they measure up.

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47

Thaker, Jagadish, and Somrita Ganchoudhuri. "Trust in social media is associated with misperceptions about COVID-19." Health & New Media Research 7, no. 1 (2023): 1–13. http://dx.doi.org/10.22720/hnmr.2023.00031.

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Although social media is a primary means for the general public to access science and health information and can help increase public knowledge, empirical evidence is mixed. Beyond social media exposure, this study investigates whether trust in social media platforms like Facebook, Twitter, and YouTube is related to public knowledge about the coronavirus. The findings, based on data from a nationally representative sample of 3933 people in the United States, show that trust in Facebook and Twitter is negatively associated with knowledge of COVID-19, even after controlling for a number of tradi

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Bhere, Pradip, Anand Upadhyay, Ketan Chaudhari, and Tushar Ghorpade. "Classifying Informatory Tweets during Disaster Using Deep Learning." ITM Web of Conferences 32 (2020): 03025. http://dx.doi.org/10.1051/itmconf/20203203025.

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Micro blogging platforms like Twitter generate a wealth of information during a disaster. Data can be in the form of sound, image, text, video etc. by way of tweets. Tweets produced during a disaster are not always educational. Information tweets can provide useful information about affected people, infrastructure damage, civilized organizations etc. Studies show that when it comes to sharing emergency information during a natural disaster, time is everything. Research on Twitter use during hurricanes, floods and floods provide potentially life-saving data on how information is disseminated in

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Sumaya Ishrat Moyeen, Md. Sadiqur Rahman Mabud, Zannatun Nayem, and Md. Al Mamun. "SENTIMENT ANALYSIS OF ENGLISH TWEETS USING BIGRAM COLLOCATION." EPRA International Journal of Research & Development (IJRD), September 25, 2021, 220–27. http://dx.doi.org/10.36713/epra8524.

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Community and portal websites like Twitter, Facebook, Tumbler, Instagram, and LinkedIn etc. have significant impact in our day-to-day life. One of the most popular micro-blogging platforms is twitter that can provide a huge amount of data which in future can be used for various applications of opinion mining like predictions, reviews, elections, marketing etc. The users use this platform to share their views, express sentiments on various events of their daily life. Previously, many researchers have worked with twitter sentiment analysis and compared various classifiers and got the accuracy be

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Smriti, Nandini Sahay Dr., and Reena Marwah Dr. "Twitter Diplomacy: Transforming India's Global Image through Social Media." December 18, 2024. https://doi.org/10.5281/zenodo.14512729.

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Today, social media affects every aspect of life, and even traditional diplomacy has undergone a remarkable transformation with the rise of social media. Social media platforms like Twitter have emerged as powerful tools for connecting with global audiences, enabling states to communicate in real time and shape international narratives. Twitter has become a cornerstone of its public diplomacy efforts for India, helping the country reshape its global image and strengthen its soft power. <strong>Objectives</strong>: This article explores the critical dimensions of India's "Twitter Diplomacy," fo

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