Relevant bibliographies by topics / Twitter influencers

Contents

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

Academic literature on the topic 'Twitter influencers'

Author: Grafiati
Published: 5 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Twitter influencers"

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Kasmani, Mohd Faizal. "How Did People Tweet in the 2018 Malaysian General Election: Analysis of Top Tweets in #PRU14." IIUM JOURNAL OF HUMAN SCIENCES 2, no. 1 (2020): 39–54. http://dx.doi.org/10.31436/ijohs.v2i1.115.

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Since 2008, Malaysian General Elections were often dubbed as “social media election”. Twitter's combination of brevity, immediacy, interactivity and virility has enabled it to become a go-to platform for political communication among politicians, journalists and citizens. To understand Twitter uptake among Malaysian citizen during the 2018 general election, this article adopts Shoemaker and Reese’s hierarchy-of-influences model. The top 50 tweets from the political hashtag #pru14 between 28 April 2018 until 10 May 2018 will be analysed. The analysis will be based on two types of influences tha
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Saragih, Nurhayani, and Suraya. "Opini Warganet mengenai Moderasi Beragama dalam Percakapan Twitter." El Madani : Jurnal Dakwah dan Komunikasi Islam 3, no. 01 (2022): 109–25. http://dx.doi.org/10.53678/elmadani.v3i01.720.

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The purpose of the study was to describe the opinions of influencers in netizen conversations on Twitter regarding religious moderation. The research uses public opinion, agenda setting models, and the spiral of silence to analyze opinions and topics discussed by Mega influencers, Macro influencers, Micro influencers, and Nano influencers. This study uses a qualitative approach with a descriptive content analysis method. Research data obtained using NVivo with the keyword religious moderation. Research results: Most of the public opinion of influencers on twitter are positive. In the account o
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Tinah, Tinah, Rita Ambarwati, and Lilik Indayani. "Utilization Of Social Network Analysis To Analysis Content Beauty Influencer On The Twitter Application." JURNAL NUSANTARA APLIKASI MANAJEMEN BISNIS 8, no. 2 (2023): 392–402. http://dx.doi.org/10.29407/nusamba.v8i2.19596.

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Research Aim: This research was conducted to determine the interaction analysis of Beauty Influencer social networks on Twitter users who focused on beauty influencers.
 Design/Method/Approach: This type of research was qualitative descriptive with the SNA method. Researchers use secondary data from Twitter—data collection techniques through data collection techniques, data preprocessing, analysis, and data visualization.
 Research Finding: The results show that beauty influencers are connections with nodes that can build social networks between influencers and audiences.
 Theor
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Almotairy, Bodor Moheel, Manal Abdullah, and Rabeeh Abbasi. "ECharacterize: A Novel Feature Selection-Based Framework for Characterizing Entrepreneurial Influencers in Arabic Twitter." International Journal of Interactive Mobile Technologies (iJIM) 14, no. 10 (2020): 74. http://dx.doi.org/10.3991/ijim.v14i10.14807.

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<p class="Els-table-text"><strong>Abstract—</strong> Social media are widely used as communication platforms in the world of business. Twitter, in particular, offers valuable opportunities for collaboration due to its open nature. For that, many entrepreneurs employ Twitter for different reasons, such as mobilizing financial resources, get funding, and increase their innovation capabilities. Therefore, they keep looking for local entrepreneurial accounts to help them. Messages from entrepreneurial influencers -opinion leader- increase the information diffusion to entrepreneur
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Hassani, Nibros. "The Flouting Maxim on Twitter Influencers’ Tweets." Journal of Pragmatics Research 1, no. 2 (2019): 139–55. http://dx.doi.org/10.18326/jopr.v1i2.139-155.

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This study aims to discover the use of maxim principles on the tweets that made by certain of Indonesian social-media influencers which the method is conducted qualitatively. The data is taken from Twitter.com and Twitter App, where the researcher captured the tweets randomly and analyzed it by using maxim relevance principle as the tool of analysis. The result shows vary: most of the conversations were not obeying the maxim of relevance principles, or in other words do not imply maxim of relevance principle. Moreover, the intentions are to make jokes, and to run the conversation smoothly whil
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Tan, Wee-Ling, and Mohd Ali Samsudin. "THE ROLE OF SOCIAL MEDIA INFLUENCERS IN PROMOTING STEM AWARENESS AND POLICY REFORM: A SOCIAL NETWORK ANALYSIS APPROACH." International Journal of Education, Psychology and Counseling 9, no. 56 (2024): 335–52. https://doi.org/10.35631/ijepc.956022.

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STEM fields are the driving force in advancing society and providing opportunities for personal and professional growth, from medical breakthroughs to new transportation methods. STEM fields are crucial in innovations and technological advancements that have improved our lives. As the world changes and new challenges arise, the importance of STEM education and careers will only grow. By now, STEM topics are widely discussed on Twitter. Use Twitter to share worldwide news, research, and insights about STEM fields. Therefore, this study aims to discuss online interaction, social networks, and pe
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Fulay, Suyash, Nabeel Gillani, and Deb Roy. "Divergences in Following Patterns between Influential Twitter Users and Their Audiences across Dimensions of Identity." Proceedings of the International AAAI Conference on Web and Social Media 17 (June 2, 2023): 1123–27. http://dx.doi.org/10.1609/icwsm.v17i1.22220.

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Identity spans multiple dimensions; however, the relative salience of a dimension of identity can vary markedly from person to person. Furthermore, there is often a difference between one’s internal identity (how salient different aspects of one's identity are to oneself) and external identity (how salient different aspects are to the external world). We attempt to capture the internal and external saliences of different dimensions of identity for influential users (“influencers”) on Twitter using the follow graph. We consider an influencer’s “ego-centric” profile, which is determined by their
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Kesiena, Onoriode, Henry K. Onyeaka, Setri Fugar, Alexis K. Okoh, and Annabelle Santos Volgman. "The top 100 Twitter influencers in cardiology." AIMS Public Health 8, no. 4 (2021): 743–53. http://dx.doi.org/10.3934/publichealth.2021058.

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<abstract><sec> <title>Importance</title> <p>Twitter represents a growing aspect of the social media experience and is a widely used tool for public education in the 21<sup>st</sup> century. In the last few years, there has been concern about the dissemination of false health information on social media. It is therefore important that we assess the influencers of this health information in the field of cardiology.</p> </sec><sec> <title>Objective</title> <p>We sought to identify the top 100 Twitter influencers within
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Habibi, Muhammad, and Puji Winar Cahyo. "A Social Network Analysis: Identifying Influencers in The COVID-19 Vaccination Discussion on Twitter." Compiler 10, no. 2 (2021): 99. http://dx.doi.org/10.28989/compiler.v10i2.1074.

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Social media analytics, especially Twitter, has experienced significant growth over the last few years. The data generated by Twitter provides valuable information to many stakeholders regarding user behavior, preferences, tastes, and characteristics. The presence of influencers on social media can invite interaction with other users. An influencer can affect the speed of spreading information on social media. This study looks at the influence of influencers and information dissemination channels on Twitter data related to COVID-19 vaccination in Indonesia as one of the hot Twitter discussion
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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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Dissertations / Theses on the topic "Twitter influencers"

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Dugué, Nicolas. "Analyse du capitalisme social sur Twitter." Thesis, Orléans, 2015. http://www.theses.fr/2015ORLE2081/document.

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Le sociologue Bourdieu définit le capital social comme : "L’ensemble des ressources actuelles ou potentielles qui sont liées à la possession d’un réseau durable de relations". Sur Twitter, les abonnements, mentions et retweets créent un réseau de relations pour chaque utilisateur dont les ressources sont l’obtention d’informations pertinentes, la possibilité d’être lu, d’assouvir un besoin narcissique, de diffuser efficacement des messages.Certains utilisateurs Twitter -appelés capitalistes sociaux - cherchent à maximiser leur nombre d’abonnements pour maximiser leur capital social. Nous intro
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Lautzenheiser, Daniel E. "Measuring the Influence of a User on Twitter." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1384426103.

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Eltayeby, Omar. "Measuring the influence of mainstream media on twitter users." DigitalCommons@Robert W. Woodruff Library, Atlanta University Center, 2014. http://digitalcommons.auctr.edu/dissertations/1310.

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Pilka, Titas. "Climate Change Communication on Twitter : Influence of Media Logic." Thesis, Högskolan för lärande och kommunikation, Högskolan i Jönköping, HLK, Medie- och kommunikationsvetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-37265.

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This study examines how media logic of news reporting influences climate change journalism on Twitter. It is of great importance that the information about climate change is being properly communicated to the public. However, it is often problematic to send the right message to the public, that would result in public acting towards protecting environment. This happens due to media logic of news reporting that impacts the way climate change is presented by the media. However, previous research indicates that the audience is more likely to trust journalists on Twitter, meaning that is likely for
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Proulx-Lauzon, Marie-Pier. "Les facteurs qui influencent l'utilisation de Twitter dans un contexte politique." Mémoire, Université de Sherbrooke, 2014. http://savoirs.usherbrooke.ca/handle/11143/5341.

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De plus en plus, des gens utilisent les sites de réseaux sociaux pour partager du contenu politique ou émettre leurs opinions à ce sujet principalement lors des campagnes électorales. L’objectif principal du mémoire est d’identifier les facteurs qui ont influencé les individus à émettre des commentaires politiques ou à partager du contenu politique par l’intermédiaire du réseau social Twitter lors de la campagne de 2012 au Québec.
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Schuhmeier, Phoenisha. "@therealDonaldTrump EFFECT: DONALD TRUMP’S SOCIAL INFLUENCE THROUGH THE USE OF TWITTER." CSUSB ScholarWorks, 2019. https://scholarworks.lib.csusb.edu/etd/875.

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There has been a recent rise in the use of social media as a platform for political communication. President Donald Trump who is very influential, due in part to his celebrity status as well as his presidential position, has had the power to influence his millions of followers on twitter. For this research, I used a content analysis and comparative analysis approach on eight tweets made by President Donald Trump which targeted Mexican immigration, Maxine Waters, LeBron James, Don Lemon, the National Football League (NFL) national anthem protesters and Elizabeth Warren and three tweets made by
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Matos, Júnior João Batista Pereira. "Análise da fidelidade pelo comportamento dos usuários do twitter." Universidade Federal de Goiás, 2017. http://repositorio.bc.ufg.br/tede/handle/tede/7893.

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Submitted by JÚLIO HEBER SILVA (julioheber@yahoo.com.br) on 2017-10-19T16:57:21Z No. of bitstreams: 2 Dissertação - João Batista Pereira Matos Júnior - 2017.pdf: 8366739 bytes, checksum: 13cc5b776da9444f310561caaa0e86d4 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)<br>Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2017-10-20T10:12:26Z (GMT) No. of bitstreams: 2 Dissertação - João Batista Pereira Matos Júnior - 2017.pdf: 8366739 bytes, checksum: 13cc5b776da9444f310561caaa0e86d4 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e980
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Heeley, Robert. "A hybrid machine learning approach to measuring sentiment, credibility and influence on Twitter." Thesis, City, University of London, 2017. http://openaccess.city.ac.uk/20213/.

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Current sentiment analysis on Twitter is hampered by two factors namely, not all accounts are genuine and not all users have the same level of influence. Including non credible and irrelevant Tweets in sentiment analysis dilutes the effectiveness of any sentiment produced. Similarly, counting a Tweet with a potential audience of 10 users as having the same impact as a Tweet that could reach 1 million users is not accurately reflecting its importance. In order to mitigate against these inherent problems a novel method was devised to account for credibility and to measure influence. The current
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Stibe, A. (Agnis). "Socially influencing systems:persuading people to engage with publicly displayed Twitter-based systems." Doctoral thesis, Oulun yliopisto, 2014. http://urn.fi/urn:isbn:9789526205410.

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Abstract Organizations continuously strive to engage customers in the services development process. The social web facilitates this process by enabling novel channels for voluntary feedback-sharing and collaborative interaction through social media and technologically advanced environments. The component parts of these environments are information systems that are linked with social media and designed for large displays to support interactivity. The work performed during this research involved the design and assessment of operational software features for encouraging user engagement through pu
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Vega, Edgardo Luis. "Communities of Tweeple: How Communities Engage with Microblogging When Co-located." Thesis, Virginia Tech, 2011. http://hdl.handle.net/10919/32605.

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Most of the research done on microblogging services, such as Twitter, has focused on how the individual communicates with their community at a micro and macro level; less research has been done on how the community affects the individual. We present in this thesis some ideas about this phenomenon. We do this by collecting data of Twitter users at a conference. We collected 21,150 tweets from approximately 400 users during a five week period and additionally collected survey data from a small subset of the tweeters. By observing users of Twitter, before, during, after a specific event
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Books on the topic "Twitter influencers"

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Rogers, Richard. The Propagation of Misinformation in Social Media. Amsterdam University Press, 2023. http://dx.doi.org/10.5117/9789463720762.

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There is growing awareness about how social media circulate extreme viewpoints and turn up the temperature of public debate. Posts that exhibit agitation garner disproportionate engagement. Within this clamour, fringe sources and viewpoints are mainstreaming, and mainstream media are marginalized. This book takes up the mainstreaming of the fringe and the marginalization of the mainstream. In a cross-platform analysis of Google Web Search, Facebook, YouTube, Reddit, Twitter, Instagram, 4chan and TikTok, we found that hyperpartisan web operators, alternative influencers and ambivalent commentat
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1973-, Bichard Shannon L., ed. Politics and the Twitter revolution: How tweets influence the relationship between political leaders and the public. Lexington Books, 2012.

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Proctor, Andrew. Twitter Marketing 2020: Discover How to Boost Your Posts and Create a Viral Brand on Twitter by Establishing a Strong Social Proof with Influencers and Digital Promotions. Independently Published, 2020.

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Proctor, Andrew. FACEBOOK and TWITTER MARKETING: Discover How to Boost Your Posts and Create a Viral Brand on Twitter - Learn the Secrets Used by Both Influencers and Businesses for Promoting Products with Ads. Independently Published, 2020.

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Proctor, Andrew. FACEBOOK and TWITTER MARKETING 2020: Discover How to Boost Your Posts and Create a Viral Brand on Twitter - Learn the Secrets Used by Both Influencers and Businesses for Promoting Products with Ads. Independently Published, 2020.

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Ramsey, Mark. Social Media Marketing 2019: Secret Advertising Strategies That Famous Influencers Use on Instagram, Youtube, Twitter, Facebook, and Snapchat to Build and Grow a Successful Personal Brand Business. Independently Published, 2019.

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Golden, Matt. Social Media Marketing: How to Dominate Your Niche in 2019 with Your Small Business and Personal Brand Using Instagram Influencers, Youtube, Facebook Advertising, Linkedin, Pinterest, and Twitter. Independently Published, 2019.

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Golden, Matt. Mercadeo en las redes sociales: Cómo Dominar su Nicho en 2019 Con Su Pequeña Empresa y Su Marca Personal Utilizando Influencers de Instagram, Youtube, ... Pinterest y Twitter. Independently published, 2019.

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Quinn, Skylar. Twitter Post Planner, Use This Planner to Keep Track of Post , Dates, Post Numbers and Notes, Organize: Time Management, for Online Influencers and Those Who Love to Post Online, 8. 5 X 11, 120 Pages. Independently Published, 2021.

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Swasy, Alecia. How Journalists Use Twitter. The Rowman & Littlefield Publishing Group, 2016. https://doi.org/10.5040/9781666999068.

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How Journalists Use Twitter: The Changing Landscape of U.S. Newsrooms shows how leading reporters and editors at four major metropolitan newspapers are embracing Twitter as a key tool in their daily routines and how the social media platform influences coverage. This book builds on social media research by analyzing newsroom work through the lens of four different communications theories—diffusion of innovation, boundary, social capital and agenda-setting theories. This book will be of interest to scholars of communication, journalism, and new media.
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Book chapters on the topic "Twitter influencers"

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Auxier, Brooke, Cody Buntain, and Jennifer Golbeck. "Analyzing Sentiment and Themes in Fitness Influencers’ Twitter Dialogue." In Information in Contemporary Society. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15742-5_41.

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Nebot, Victoria, Francisco Rangel, Rafael Berlanga, and Paolo Rosso. "Identifying and Classifying Influencers in Twitter only with Textual Information." In Natural Language Processing and Information Systems. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91947-8_3.

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Smoliarova, Anna S., Svetlana S. Bodrunova, and Ivan S. Blekanov. "Politicians Driving Online Discussions: Are Institutionalized Influencers Top Twitter Users?" In Internet Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70284-1_11.

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Cordero-Gutiérrez, Rebeca, Fernando de la Prieta-Pintado, and Juan M. Corchado-Rodríguez. "Decision Support for Digital Marketing Through Virtual Organizations - Influencers on Twitter." In Communications in Computer and Information Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95204-8_48.

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Alizadeh, Meysam, Yasaman Asgari, Zeynab Samei, et al. "Exploring Relationships Between Cryptocurrency News Outlets and Influencers’ Twitter Activity and Market Prices." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-78541-2_28.

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Bodrunova, Svetlana S., Anna A. Litvinenko, and Ivan S. Blekanov. "Comparing Influencers: Activity vs. Connectivity Measures in Defining Key Actors in Twitter Ad Hoc Discussions on Migrants in Germany and Russia." In Lecture Notes in Computer Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67217-5_22.

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Bung, Purushottam, Noor Firdoos Jahan, M. Jahnavi, N. Nagasubba Reddy, and R. Shubha. "Analyzing Twitter and YouTube Posts for Identifying Influencers of Apple Products in the Bangalore Region: A Comprehensive Study with Sentiment Analysis." In Smart Innovation, Systems and Technologies. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-7717-4_32.

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Sung, Juyup, Seunghyeon Moon, and Jae-Gil Lee. "The Influence in Twitter: Are They Really Influenced?" In Behavior and Social Computing. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-04048-6_9.

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Steward, Bonnie. "Academic Influence." In Disrupting the Digital Humanities. punctum books, 2018. https://doi.org/10.21983/p3.0230.1.21.

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Sometimes things shift when you’re not looking. One morning, I woke up and discovered I was in style. Or, at least, what I dowas in style: digital and networked scholarship had suddenly been discovered by higher ed media. For this fifteen minutes of fame, practically every Chronicle of Higher Education link on my Twitter feed was about some aspect of online identity or net-worked scholarship.1 The LSE blog and Inside Higher Ed, too.I peered about, waiting for the punch line. I am accustomed, when I get up in front of fellow educators and academics and say “I study scholarship and... Twitter,”
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Asadi, Mehran, and Afrand Agah. "Characterizing User Influence Within Twitter." In Advances on P2P, Parallel, Grid, Cloud and Internet Computing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69835-9_11.

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Conference papers on the topic "Twitter influencers"

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Perera, Suresha, Indika Perera, and Supunmali Ahangama. "Influence Ranking of Hate Users in Content Propagation on Twitter." In 2025 5th International Conference on Advanced Research in Computing (ICARC). IEEE, 2025. https://doi.org/10.1109/icarc64760.2025.10962830.

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Kumaravel, T., C. Nallusamy, P. Natesan, K. S. Nagul, A. M. Naveen, and A. Sakthisundaram. "Influence of COVID-19 in Tourism: A Sentiment Analysis of Twitter Data." In 2024 4th International Conference on Sustainable Expert Systems (ICSES). IEEE, 2024. https://doi.org/10.1109/icses63445.2024.10763265.

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Bodrunova, Svetlana S., Anna A. Litvinenko, and Ivan S. Blekanov. "Influencers on the Russian Twitter." In EGOSE 2016: Challenges in Eurasia 2016. ACM, 2016. http://dx.doi.org/10.1145/3014087.3014106.

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Zenonos, Savvas, Andreas Tsirtsis, and Nicolas Tsapatsoulis. "Twitter Influencers or Cheated Buyers?" In 2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech). IEEE, 2018. http://dx.doi.org/10.1109/dasc/picom/datacom/cyberscitec.2018.00049.

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Soares, Felipe Bonow, Raquel Recuero, and Gabriela Zago. "Influencers in Polarized Political Networks on Twitter." In SMSociety '18: International Conference on Social Media and Society. ACM, 2018. http://dx.doi.org/10.1145/3217804.3217909.

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"CLASSIFICATION OF FINANCIAL MARKETS INFLUENCERS ON TWITTER." In Applied Computing 2022 and WWW/Internet 2022. IADIS Press, 2022. http://dx.doi.org/10.33965/ac_icwi2022_202208l022.

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Tan, Wai Beng, and Tong Ming Lim. "A Study on the Centrality Measures to Determine Social Media Influencers in Twitter." In International Conference on Digital Transformation and Applications (ICDXA 2021). Tunku Abdul Rahman University College, 2021. http://dx.doi.org/10.56453/icdxa.2021.1021.

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In recent years, many people have been influenced by YouTuber stars, celebrities, and influencers to their online products, especially on Twitter. Many celebrities who have many followers would start promoting certain products to all their fans and followers. Fans and followers have to share the show with their friends to gain more popularity among other audiences. Celebrities have played a vital role in corporate brands as they can promote the brand products and have also attracted many people who are interested in purchasing the products. Therefore, the group of celebrities can be called soc
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Visansirikul, Varanyu, and Sukumal Kitisin. "Identifying Influencers with Ensemble Classification Approach on Twitter." In 2018 22nd International Computer Science and Engineering Conference (ICSEC). IEEE, 2018. http://dx.doi.org/10.1109/icsec.2018.8712720.

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Subbian, Karthik, and Prem Melville. "Supervised Rank Aggregation for Predicting Influencers in Twitter." In 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust (PASSAT) / 2011 IEEE Third Int'l Conference on Social Computing (SocialCom). IEEE, 2011. http://dx.doi.org/10.1109/passat/socialcom.2011.167.

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Bowles, Stephanie. "Exploring Knowledge-Sharing Patterns of NFT Influencers on Twitter." In 2023 AERA Annual Meeting. AERA, 2023. http://dx.doi.org/10.3102/2012612.

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Reports on the topic "Twitter influencers"

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Marta-Lazo, C., D. Valero-Errazu, and JA Gabelas Barroso. Use of Twitter in MOOCs: New ways of youth interaction and their influence on learning. Revista Latina de Comunicación Social, 2018. http://dx.doi.org/10.4185/rlcs-2018-1309en.

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

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We used Alexandria Digital, a world leading disinformation detection technology, to analyse almost a million posts on X (formerly known as Twitter) and Reddit comments during the first Republican primary debate and counterprogrammed Tucker Carlson and Donald Trump interview on the 23rd of August. What we did: • Collected 949,259 posts from the platform X, formerly known as Twitter. These posts were collected if they contained one of 11 relevant hashtags or keywords and were posted between 8:45pm and 11:15pm EST on 23rd August 2023. • Collected 20,549 comments from two separate Reddit threads.
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Mayande, Nitin. Network Structure, Network Flows and the Phenomenon of Influence in Online Social Networks: An Exploratory Empirical Study of Twitter Conversations about YouTube Product Categories. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.2463.

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Hotsur, Oksana. SOCIAL NETWORKS AND BLOGS AS TOOLS PR-CAMPAIGN IMPLEMENTATIONS. Ivan Franko National University of Lviv, 2021. http://dx.doi.org/10.30970/vjo.2021.50.11110.

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The article deals with the ways in which social networks and the blogosphere influence the formation and implementation of a PR campaign. Examples from the political sphere (election campaigns, initiatives), business (TV brands, traditional and online media) have revealed the opportunities that Facebook, Telegram, Twitter, YouTube and blogs promote in promoting advertising, ideas, campaigns, thoughts, or products. Author blogs created on special websites or online media may not be as much of a tool in PR as an additional tool on social media. It is noted that choosing a blog as the main tool o
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