Literatura académica sobre el tema "Platforms like Twitter"

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Artículos de revistas sobre el tema "Platforms like Twitter"

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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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Libros sobre el tema "Platforms like Twitter"

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Nielsen, Rasmus Kleis, and Sarah Anne Ganter. The Power of Platforms. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780190908850.001.0001.

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More people today get news via Facebook and Google than via any news organization in history, and platforms like Twitter serve news to more people than all but the biggest media companies. This book draws on interviews and other data to analyze the platform power a few technology companies as a consequence have come to exercise in public life, the reservations publishers have about platforms—as well as the reasons why they often embrace them nonetheless. Most of the news content we rely on is still produced by journalists working for news organizations. But the way in which we discover it, how
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Lampos, Vasileios. Pattern Discovery in the Social Web with Artificial Intelligence: Is it possible to extract useful information from Social Media platforms like Twitter using a machine? LAP Lambert Academic Publishing, 2012.

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Penney, Joel. News Spreaders and Agenda Setters. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190658052.003.0005.

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This chapter examines the use of platforms such as Twitter to link to news articles about favored political issues and argues that the selective sharing of journalism on social media positions citizens in a public relations–like capacity, helping raise awareness for some truths and narratives over others. In the contemporary environment of information surplus, the grassroots curation of news serves as an entry point for citizens to participate in agenda-setting processes that are subtly, yet undeniably, persuasive in intention. The increasingly partisan character of political information itsel
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Laskin, Alexander v., ed. Social, Mobile, and Emerging Media around the World. The Rowman & Littlefield Publishing Group, 2018. https://doi.org/10.5040/9781978730526.

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Social, Mobile, and Emerging Media around the World: Communication Case Studies is an edited collection of cutting edge research on the practical applications of diverse types of emerging media technologies in a variety of industries and in many different regions of the world. In recent years, emergent social media have initiated a revolution comparable in impact to the industrial revolution or the invention of the Internet. Today, social media’s usage statistics are mind-boggling: almost two billion people are Facebook users, over one billion people communicate via What’sApp, over forty billi
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Barnard, Stephen R. Hacking Hybrid Media. Oxford University PressNew York, 2024. http://dx.doi.org/10.1093/oso/9780197570272.001.0001.

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Abstract The contemporary public sphere is rife with problematic information, but on what terms are manipulators able to garner attention in the hybrid media system? Focusing on the messaging strategies employed by Donald Trump and his most vocal online supporters, Hacking Hybrid Media provides a theoretically oriented and empirically grounded analysis of the ways today’s media afford deceptive political communication. From the structures of social media platforms to the practices of political actors, the book offers a critical appraisal of media power and the capital required to wield it. Bri
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Forestal, Jennifer. Designing for Democracy. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780197568750.001.0001.

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Designing for Democracy addresses the question of how to “fix” digital technologies for democracy by examining how the design of the built environment (whether streets, sidewalks, or social media platforms) informs how, and whether, citizens can engage in democratic practices. “Democratic spaces”—built environments that support democratic politics—must have three characteristics: they must be clearly bounded, durable, and flexible. Each corresponds to a necessary democratic practice. Clearly bounded spaces make it easier to recognize what we share and with whom we share; they help us form comm
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Social Media Marketing Manager: The Art of Social Media Marketing Manager Like These Platform Facebook YouTube Twitter Instagram for Success. Independently Published, 2022.

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Ntarangwi, Mwenda. Media and Contested Christian Identities. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252040061.003.0005.

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This chapter turns to the world of social media and how it shapes Christian identities in Kenya, including Juliani's. It explores how even urban churches are tapping into such media to engage youth on matters of faith and lived sociocultural issues. Many Kenyan youth get access to the internet and such social-media platforms as Twitter and Facebook through their cell phones. Some service providers, such as Safaricom (the largest cell-phone company in Kenya), offer Facebook as part of their already installed applications for subscribers. Through mobile phone-based access to these kinds of platf
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Clark, Meredith D. We Tried to Tell Y'All. Oxford University PressNew York, 2024. http://dx.doi.org/10.1093/oso/9780190068141.001.0001.

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Abstract For decades, Black folks in America have used different media technologies with the express purpose of telling tshe truth about themselves and their experiences. We Tried to Tell Y’all adds to this rich history by positioning Black Twitter as both a space for building and sustaining community connections, as well as a tool for the development of digital counternarratives that stand in juxtaposition to news media coverage that distorts the reality of what it’s like to be Black in America in the early twenty-first century. Drawing on interviews, personal observation, and news analysis,
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Keane, Nancy J. Tech-Savvy Reading Promotion. ABC-CLIO, LLC, 2019. http://dx.doi.org/10.5040/9798216023418.

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Unleash new possibilities for reading promotion and readers’ advisory with these technological tools that can help you to catch the interest of young readers and direct them toward positive reading experiences. Gone are the days of browsing library bookshelves—today’s readers live much of their lives on their devices. Learn how to meet these young readers in their online activities by using technological tools that support independent reading and reading choices. This book shows you how to use not only more traditional social media such as Facebook and blogs but also video, audio and print app
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Capítulos de libros sobre el tema "Platforms like Twitter"

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Lenz, Mirko, and Ralph Bergmann. "PolArg: Unsupervised Polarity Prediction of Arguments in Real-Time Online Conversations." In Robust Argumentation Machines. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-63536-6_7.

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AbstractThe increasing usage of social networks has led to a growing number of discussions on the Internet that are a valuable source of argumentation that occurs in real time. Such conversations are often made up of a large number of participants and are characterized by a fast pace. Platforms like X/Twitter and Hacker News (HN) allow users to respond to other users’ posts, leading to a tree-like structure. Previous work focused on training supervised models on datasets obtained from debate portals like Kialo where authors provide polarity labels (i.e., support/attack) together with their pos
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Maldonado Castillo, Idalia, Fabiola Yahel Martínez Ortiz, and Jessie Paulina Guzmán Flores. "Centralization of Information to Understand the Consumer Within the Restaurant Sector." In Strategic Innovative Marketing and Tourism. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-51038-0_90.

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AbstractThe proliferation of online restaurant reviews presents a challenge for consumers seeking valuable insights amid scattered and decentralized information. Despite the potential in these reviews, businesses often decline to explore such information due to perceived expense and unclear future impact. This study integrates technological tools within McKinsey’s consumer decision journey model to navigate this digital landscape effectively. Through analysis of influencer reviews on Twitter and Instagram, as well as objective evaluations on rating platforms like TripAdvisor and Yelp, the stud
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Hussain, Zahid, Asif Ali Safeer, and Muhammed Junaid Ahmed. "The Role of Social Media Marketing for the Hospitality Business." In Advances in Hospitality, Tourism, and the Services Industry. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-7127-5.ch007.

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Understanding the social media landscape is essential for crafting effective marketing strategies. This chapter analyses major social media platforms—Facebook, Instagram, Twitter, LinkedIn, and emerging networks like TikTok and Threads. Each platform's unique features and user demographics are examined to illustrate how hospitality businesses can tailor their content and engagement approaches to maximize impact. For instance, Facebook's broad reach and advertising tools support community building and event promotion, while Instagram's visual emphasis allows for showcasing the aesthetic appeal
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Nielsen, Rasmus Kleis, and Anne Ganter Sarah. "The Rise of Platforms." In The Power of Platforms. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780190908850.003.0001.

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This chapter focuses on how the rise of platforms is changing our media environment, where publishers still control the production of news content, but platform companies increasingly control the channels through which people access it. It identifies the new, distinct, generative, and relational forms of power that platforms, including Facebook, Google, and Twitter, exercise and examines how news publishers have responded. It argues that previously powerful and relatively independent institutions like the news media are increasingly in a position akin to that of ordinary users—they are simulta
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Preussler, Annabell, and Michael Kerres. "Managing Social Reputation in Twitter." In Digital Identity and Social Media. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-1915-9.ch007.

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Online communities, like Twitter, attract thousands of users worldwide spending hours communicating with others via the Internet. Most platforms offer mechanisms that show the ‘rank’ or ‘social reputation’ users have gained within the social community the platform establishes. This chapter analyses the motivation of users to engage intensively from a social psychological perspective and follows the hypotheses that these status information function as a highly effective reward mechanism. The chapter describes the results of a survey that has been conducted with users of Twitter in order to find
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Tandon, Vrinda, and Ritika Mehra. "Study of Approaches to Predict Personality Using Digital Twin." In Neuromorphic Computing [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.110487.

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With a growing proportion of online activities on social networking sites on different mediums like Facebook, Instagram, Twitter, LinkedIn the requirement for personality prediction associated with this online mediated behavior has also increased significantly. The user generated content on social media can be effectively leveraged to record, analyze and predict personality through different psychological approaches like MBTI, Big Five, and DISC. Predicting personality has displayed an intrinsic influence in multifarious domains like career choice, political influence, brand inclination, custo
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Ströhle, Fabian, and Timm Sprenger. "Twitter and Political Elections." In Encyclopedia of Cyber Behavior. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0315-8.ch084.

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The rise of Twitter has changed human communication behavior not only in the political domain, but also in many other fields. Individuals are increasingly using microblogging platforms like Twitter for political deliberation, making full use of the features offered for discussions and social networking. At the same time, politicians and political parties hop on the bandwagon, using Twitter to reach a larger audience and communicate to constituents. As is the case for blogs, the political Twittersphere is fragmented along party lines, but stimulates communication between different ideological c
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-, Anjali, Pinki -, and Varun Sharma. "Sentiment Analysis on Movie “Kashmir Files” Using Machine Learning." In Emerging Trends In Engineering And Management, 2023rd ed. Soft Computing Research Society, 2023. http://dx.doi.org/10.56155/978-81-955020-3-5-02.

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Sentiment Analysis which is also known as “Opinion Mining” is a process of analyzing, emotions, sentiments, attitudes and expressions expressed in written language. Now, these opinion can be mined from any social media platform like Twitter, Facebook as people are more likely to share their opinions on these platforms. Twitter is one such platform which is very popular & most people are using this to express their opinion. The research addresses the sentiment analysis of movie “Kashmir files” by using trending hash tages on Twitter. Sentiment can be of three types-1) Positive 2) Negative 3
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Hernandez-Suarez Aldo, Sanchez-Perez Gabriel, Toscano-Medina Karina, et al. "Can Twitter API Be Bypassed? A New Methodology for Collecting Chronological Information Without Restrictions." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2018. https://doi.org/10.3233/978-1-61499-900-3-453.

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Retrieving information from social networks is a first and primordial step in many data analysis fields such as Natural Language Processing and Machine Learning. Important data science tasks rely on historical data gathering for further predictive results. Recent works use public platforms for collecting public streams of information like Twitter API, which allows querying chronological tweets from periods no longer than three weeks. In this paper, we present Twitter Scrapy, a new methodology for collecting historical tweets from time periods of arbitrary duration using web scraping techniques
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Bastos, Marco. "Bots and Trolls." In Brexit, Tweeted. Policy Press, 2024. https://doi.org/10.1332/policypress/9781529224498.003.0006.

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This chapter unpacks the activity patterns of a group of 13,493 bot-like Twitter accounts that tweeted the Brexit referendum and disappeared from the platform shortly after the ballot. The Brexit Botnet comprises 5 per cent of the userbase that tweeted the referendum campaign, a group of users that was removed from the platform by Twitter moderators. The Brexit Botnet sheds considerable light on the weaponization of social media platforms that was central to the referendum campaign, while also exposing the role of algorithms in which bots feature as the most simple, cost-effective, and flexibl
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Actas de conferencias sobre el tema "Platforms like Twitter"

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Hazem ZAKI, Azzah, and Noor Ahmed QARABASH. "TWITTER DEMOGRAPHICS FOR IRAQI GOVERNORATES." In V. International Scientific Congress of Pure, Applied and Technological Sciences. Rimar Academy, 2022. http://dx.doi.org/10.47832/minarcongress5-29.

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Social media has in the last few years provided researchers with an invaluable source of information regarding human interactions. In a country like Iraq where social media platforms are rising in popularity as a tool for social change, understanding social media trends is critical. In this paper, we collected Twitter data examined how Iraqis use the Twitter platform across the ten largest cities in the country. Twitter is an emerging platform in the country that is growing rapidly. We attempted to establish a baseline for the demographic of Iraqi twitter users to serve as a guideline for futu
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B, Haritha G., and Sahana N. B. "Cryptocurrency Price Prediction using Twitter Sentiment Analysis." In 4th International Conference on Natural Language Processing, Information Retrieval and AI. Academy and Industry Research Collaboration Center (AIRCC), 2023. http://dx.doi.org/10.5121/csit.2023.130302.

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The cryptocurrency ecosystem has been the centre of discussion on many social media platforms, following its noted volatility and varied opinions. Twitter is rapidly being utilised as a news source and a medium for bitcoin discussion. Our algorithm seeks to use historical prices and sentiment of tweets to forecast the price of Bitcoin. In this study, we develop an end-to-end model that can forecast the sentiment of a set of tweets (using a Bidirectional Encoder Representations from Transformers - based Neural Network Model) and forecast the price of Bitcoin (using Gated Recurrent Unit) using t
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Santos, Emanoel, Lucas Lattari, Maurício Coelho, and Bianca Castro. "Comparative Analysis of Machine Learning and Deep Learning Algorithms for Twitter-Based Depression Detection." In Congresso Brasileiro de Inteligência Computacional. SBIC, 2024. http://dx.doi.org/10.21528/cbic2023-061.

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Depression is a significant mental health disorder affecting millions of individuals globally. Detecting depressive symptoms from written texts, especially on social media platforms like Twitter, has received considerable attention. In this paper, we present a comparative analysis of machine learning and deep learning algorithms for depression detection on Twitter. We propose an innovative approach that integrates a multilayer Long Short-Term Memory (LSTM) architecture with a Multi-Head Attention component. Our approach achieves up to 99% across all key metrics, including accuracy, recall, F1-
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Mumtaz, Ummara, and Summaya Mumtaz. "Potential of ChatGPT in predicting stock market trends based on Twitter Sentiment Analysis." In CARMA 2024 - 6th International Conference on Advanced Research Methods and Analytics. Universitat Politècnica de València, 2024. http://dx.doi.org/10.4995/carma2024.2024.17467.

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The rise of ChatGPT has brought a notable shift to the AI sector, with its exceptional conversational skills and deep grasp of language. Recognizing its value across different areas, our study investigates ChatGPT's capacity to predict stock market movements using only social media tweets and sentiment analysis. We aim to see if ChatGPT can tap into the vast sentiment data on platforms like Twitter to offer insightful predictions about stock trends. We focus on determining if a tweet has a positive, negative, or neutral effect on two big tech giants Microsoft and Google’s stock value. Our find
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Ayandeyi, Adeola Adetokunbo, and Baidya Nath Saha. "Twitter Data Sentiment Analysis to Understand the Effects of COVID-19 on Mental Health." In Intelligent Computing and Technologies Conference. AIJR Publisher, 2021. http://dx.doi.org/10.21467/proceedings.115.23.

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Coronavirus pandemic has caused major change in peoples’ personal and social lives. The psychological effects have been substantial because it has affected the ways people live, work, and even socialize. It has also become major discussions on social media platforms as people showcase their opinions and the effect of the virus on their mental health particularly. This pandemic is the first of its kind as humans has never encountered anything like this virus. Handling it was very difficult at first as its characteristics are peculiar. Eventually, it was detected that it is airborne and so there
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Jradi, L. "Trends and challenges in traffic safety: An analysis of road accidents and fatalities in Lebanon (2011-2024)." In Civil and Environmental Engineering for Resilient, Smart and Sustainable Solutions. Materials Research Forum LLC, 2025. https://doi.org/10.21741/9781644903414-118.

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Abstract. This study provides a comprehensive analysis of traffic accidents and fatalities in Lebanon from 2011 to 2024, with a focus on the years 2016 to 2018. Based on data from the Internal Security Forces' records, shared on social media platforms such as Twitter and Facebook, a total of 6,916 fatalities were recorded over the decade, with a peak in 2014. A significant decline in accidents was observed during the pandemic years, largely due to reduced mobility and the economic crisis. However, this reduction does not necessarily indicate improved road safety, but rather the impact of exter
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Rahuf, Rajah, and Nijole Maknickienė. "INVESTIGATING AN INDIVIDUAL’S OPINION ON SOCIAL MEDIA ABOUT THE CRYPTOCURRENCY MARKET." In 12th International Scientific Conference „Business and Management 2022“. Vilnius Gediminas Technical University, 2022. http://dx.doi.org/10.3846/bm.2022.795.

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Cryptocurrencies are growing rapidly, with various altcoin being introduced recently, despite the fact that the market is very volatile, cryptocurrency now holds trillions of dollars in the market and has plenty of platforms for trading and owning cryptocurrencies, like Binance, Coinbase, and others. In particular, Bitcoin has caught the atten-tion of many people over the year with a current market cap. of 731.56 billion dollars circulating in the market. One of the major problems in cryptocurrencies is volatility, and often the prices can vary due to the external events that trigger the marke
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J, Midhula Sree, Amitha Shri G S, Ashutosh Kumar Jha, and Kishor K. "Women Safety Analytics- Protecting Women from Safety Threats." In International Conference on Recent Trends in Computing & Communication Technologies (ICRCCT’2K24). International Journal of Advanced Trends in Engineering and Management, 2024. http://dx.doi.org/10.59544/gbcg5686/icrcct24p34.

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In today’s world, incidents of harassment and threats against women are increasingly frequent across various settings. Social media platforms, in particular, play a significant Role in facilitating these global issues. This paper aims to develop a novel methodology that provides a robust safety mechanism for women, helping them avoid dangerous situations and individuals. The proposed solution, referred to as the Machine Learning based Social Threat Filter (MLSTF), introduces an innovative approach to threat detection. By focusing on threats originating from social media platforms primarily Fac
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Zitmane, Marita. "Gender Equality Topics on the Social Media Platform Twitter in 2021." In International scientific conference of the University of Latvia. University of Latvia Press, 2023. http://dx.doi.org/10.22364/ms22.18.

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Social media has become an important part of the agenda-setting process. Digital platforms have reduced the role of traditional media in agenda-setting and have also expanded the range of agenda-setting actors. Social media provides a platform for public debate about social norms, creates a platform for further revision of norms, promoting awareness of the advantages and disadvantages of current laws and rights. Statistical data on the usage habits of social network platforms in Latvia show that the society is active in using social networks. In Latvia, social media platforms and blogs are the
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10

Drymonitis, Alexandros, and Nicoleta Chatzopoulou. "Data Mining / Live Scoring – A Live Acoustic Algorithmic Composition Based on Twitter." In ICAD 2021: The 26th International Conference on Auditory Display. International Community for Auditory Display, 2021. http://dx.doi.org/10.21785/icad2021.034.

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Data Mining / Live Scoring is a live algorithmic composition for a six member acoustic ensemble. The algorithm receives feed from the popular social platform Twitter, sonifying the tweets it receives by writing a score for each of the six musicians. The concept behind this performance is to create a musical composition which can serve as a soundtrack for Twitter, depending on what is written by the users. Based on the sentiment of the tweets and a musical library written especially for this project, the algorithm attempts to create a score which reflects the mood on Twitter in an abstract way.
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Informes sobre el tema "Platforms like Twitter"

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Cunha e Melo, Mariana, and Jonas de Abreu Castro. Section 230 and the future of the internet. Center for Technology and Public Interest, SL, 2023. http://dx.doi.org/10.59262/ejp3ba.

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The US Supreme Court is considering the fate of Section 230, a law that protects content platforms from liability for user-generated content. The case, Gonzalez v. Google, challenges the intermediary liability protection of Section 230. If the challenge succeeds, it could undermine the foundation of Web 2.0 and the internet's future. The case focuses on whether platforms like Google, Twitter, and TikTok should be held liable for third-party content from their recommendation engines. Challenging Section 230 could have severe consequences for freedom of expression and lead to restrictions on rec
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2

Droogan, Julian, Lise Waldek, Brian Ballsun-Stanton, and Jade Hutchinson. Mapping a Social Media Ecosystem: Outlinking on Gab & Twitter Amongst the Australian Far-right Milieu. RESOLVE Network, 2022. http://dx.doi.org/10.37805/remve2022.6.

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Attention to the internet and the online spaces in which violent extremists interact and spread content has increased over the past decades. More recently, that attention has shifted from understanding how groups like the self-proclaimed Islamic State use the internet to spread propaganda to understanding the broader internet environment and, specifically, far-right violent extremist activities within it. This focus on how far right violent extremist—including far-right racially and ethnically motivated violent extremists (REMVEs) within them—create, use, and exploit the online networks in whi
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