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Journal articles on the topic 'Twitter influencers'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

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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Wells, T. M., M. Maymone, C. W. Rundle, and R. Dellavalle. "394 Top 50 dermatology influencers on Twitter." Journal of Investigative Dermatology 140, no. 7 (2020): S51. http://dx.doi.org/10.1016/j.jid.2020.03.402.

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Marcelo, Carlos, and Paula Marcelo. "Educational influencers on Twitter. Analysis of hashtags and relationship structure." Comunicar 29, no. 68 (2021): 73–83. http://dx.doi.org/10.3916/c68-2021-06.

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In this article we research Spanish educational influencers with major presence on Twitter: what are the most common topics or hashtags used by them, whether there are groups based on the topics of their interventions or what type of social network they configure. To meet these goals, we selected 54 educational influencers with a high number of followers. We analyzed and classified the "hashtags" included in a total of 106,130 tweets. The analysis of hashtags has shown us that the most labelled topics correspond to educational content in different areas of the curriculum, collaboration, exchan

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Bajaz, Ritu, Neetu Yadav, and Priyanka Yadav. "Influencer Marketing and Purchase Intention: Exploring the Mediating Role of Credibility." Edumania-An International Multidisciplinary Journal 03, no. 01 (2025): 175–86. https://doi.org/10.59231/edumania/9105.

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With the advent of today’s digital age, the social media influencer marketing has become powerful tactic for brands aiming to enhance their market presence and consumer engagement. Social media influencers through their curated content on platforms like: Instagram, You-Tube and twitter etc., significantly shape consumer perceptions and behavior. Nowadays Influencers on social media serves to be a vital component in marketing of products and services to their audience. Hence the main motive of this descriptive study is to examine how different attributes of these influencers impact their credib

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Matarín Rodríguez-Peral, Eva, Tomás Gómez Franco, and Anabell Fondón Ludeña. "Sanitarios influencers." TECHNO REVIEW. International Technology, Science and Society Review /Revista Internacional de Tecnología, Ciencia y Sociedad 11, Monográfico (2022): 1–14. http://dx.doi.org/10.37467/revtechno.v11.4394.

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Este estudio analiza los principales divulgadores sanitarios españoles que interactúan en Twitter. Estudia cuáles son las principales temáticas que aborda, así como la estructura de su red de interrelaciones. Se han analizado 10 perfiles de sanitarios que tienen más de 12.500 seguidores, una red con 797 nodos y 1562 aristas. El análisis de redes se ha realizado estudiando la centralidad a través de diversos algoritmos y elaborando grafos a través del programa Gephi. Se han determinado los influencers sanitarios con mayor peso en la red. El análisis de modularidad ha dado como resultado la iden

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Harris, Brandon C., Maxwell Foxman, and William C. Partin. "“Don’t Make Me Ratio You Again”: How Political Influencers Encourage Platformed Political Participation." Social Media + Society 9, no. 2 (2023): 205630512311779. http://dx.doi.org/10.1177/20563051231177944.

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Ratioing describes when a reply earns more likes than an original post on social media. They also offer influencers opportunities to convert audience attention into political actions capable of temporarily shaping online discourse. Ratios are then one of many influencer-driven strategies that leverage platform features and affordances to direct audiences to specific actions that amplify the influencer’s content in the crowded social media entertainment market. Hasan Piker is one of the most popular political influencers on Twitch, which he uses as a base to organize and direct his audience int

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Belova, Alla. "Virtual influencers in multimodal advertising." 93, no. 93 (September 13, 2021): 14–21. http://dx.doi.org/10.26565/2227-8877-2021-93-02.

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The article highlights new communication and advertising phenomenon – virtual influencers (VI) or virtual models employed by different brands to promote their collections and goods. Influencer marketing became an effective marketing strategy and profitable trend within the last twenty years. Influencers can be categorized in line with the content they generate, number of followers they have, their specialization, the impact they produce. Influencer marketing flourishes in social media. Celebrities who earned their fame offline are mega-influencers. Virtual influencers are transmedia 3D models

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Uppala, Vishal, Prashant Palvia, and Kalyani Ankem. "An IBM Watson Analysis of Twitter Followers and Influencers." International Journal of Technology and Human Interaction 21, no. 1 (2025): 1–17. https://doi.org/10.4018/ijthi.370599.

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In this paper, the authors examined the structure and relationship between followers and leaders in Twitter followership to find similarities in personality. Specifically, they focused on the relationships between Twitter (now X) influencers and their followers through an extensive analysis of millions of tweets using IBM Watson Personality Insights. The results are founded on the relationships between two major social media influencers and their respective followers. The present research informs marketing practitioners on using IBM Watson to find congruence between social media influencers an

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Razak, Nurmaisarah Abdul, Nor Ashikin Ab Manan, Noraziah Azizan, and Johana Yusof. "The Use of Slang by Gen Z Female Influencers on Instagram and Twitter (X)." International Journal of Research and Innovation in Social Science IX, no. I (2025): 2847–62. https://doi.org/10.47772/ijriss.2025.9010232.

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Communication on social media platforms such as Instagram and Twitter (X) is inherently informal, colloquial, and non-standard, making it an ideal space for the use of slang, a central focus of this small-scale study. This research aims to investigate the use of slang by female Gen Z influencers on Instagram and Twitter (X). The objectives are: (1) to identify the types of slang used, and (2) to determine the most frequently used slang. Purposive sampling was utilized to select five participants, all female Malaysian beauty and lifestyle influencers born between 1996 and the present, represent

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Firdaniza, Firdaniza, Budi Nurani Ruchjana, Diah Chaerani, and Jaziar Radiant. "Information diffusion model with homogeneous continuous time Markov chain on Indonesian Twitter users." International Journal of Data and Network Science 6, no. 3 (2022): 659–68. http://dx.doi.org/10.5267/j.ijdns.2022.4.006.

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In this paper, a homogeneous continuous time Markov chain (CTMC) is used to model information diffusion or dissemination, also to determine influencers on Twitter dynamically. The tweeting process can be modeled with a homogeneous CTMC since the properties of Markov chains are fulfilled. In this case, the tweets that are received by followers only depend on the tweets from the previous followers. Knowledge Discovery in Database (KDD) in Data Mining is used to be research methodology including pre-processing, data mining process using homogeneous CTMC, and post-processing to get the influencers

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Ahmad Mijar, Maisarah, and Aini Mazinina. "Eco-Activist Social Media Influencers (SMI) on Twitter: Does Credibility Matter?" IIUM JOURNAL OF HUMAN SCIENCES 3, no. 2 (2021): 15–26. http://dx.doi.org/10.31436/ijohs.v3i2.197.

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The emergence of social media specially twitter plays a significant role in today’s era. The bond between people and their smartphones is also inseparable. The first thing that people would do when they wake up is to check their phones. This leads to the deprivation of people watching television. People have now turn to Twitter for any news or trends that are occurring and substitute the physical newspaper. With the vast number of users on social media, Social Media Influencers (SMI) have also been influencing others by their opinions or expertise. However, with all the technologies and changi

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Dash, Saloni, Dibyendu Mishra, Gazal Shekhawat, and Joyojeet Pal. "Divided We Rule: Influencer Polarization on Twitter during Political Crises in India." Proceedings of the International AAAI Conference on Web and Social Media 16 (May 31, 2022): 135–46. http://dx.doi.org/10.1609/icwsm.v16i1.19279.

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Influencers are key to the nature and networks of information propagation on social media. Influencers are particularly important in political discourse through their engagement with issues, and may derive their legitimacy either solely or in large part through online operation, or have an offline sphere of expertise such as entertainers, journalists etc. To quantify influencers' political engagement and polarity, we use Google's Universal Sentence Encoder (USE) to encode the tweets of 6k influencers and 26k Indian politicians during political crises in India. We then obtain aggregate vector r

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Kostygina, Ganna, Hy Tran, Steven Binns, et al. "Boosting Health Campaign Reach and Engagement Through Use of Social Media Influencers and Memes." Social Media + Society 6, no. 2 (2020): 205630512091247. http://dx.doi.org/10.1177/2056305120912475.

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Public health organizations are increasingly turning to social media as a channel for health campaign dissemination, as these platforms can provide access to “hidden” or at-risk audiences such as populations of color and youth. However, few studies systematically assess the effects of such campaigns in a competitive communication environment characterized by an influx of sophisticated tobacco product marketing. The objective of the current study is to investigate how content and source features of Twitter messages about truth® campaigns influence their popularity, support, and reach. Keyword r

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Fernández Gómez, Jorge David, Víctor Hernández-Santaolalla, and Paloma Sanz-Marcos. "Influencers, marca personal e ideología política en Twitter." Cuadernos.info 42 (2018): 19–37. http://dx.doi.org/10.7764/cdi.42.1348.

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Nurfausyahbani, Hermayanti Rahma, and Dedy Setiawan. "The Influencers’ Language on Instagram and Twitter Captions." Jurnal Bahasa Inggris Terapan 9, no. 2 (2024): 88–96. http://dx.doi.org/10.35313/jbit.v9i2.5706.

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The major objective of this study is to analyze grammatical errors found on Instagram and Twitter captions. It is intended to recognize the most common grammatical errors so that we can be aware of the language that we use. The present study applies the theory of Dulay et al (1982) which divides errors into four types: omission, addition, misinformation, and misordering. Since all of the data are in the form of text, a method of textual analysis was applied to analyze the data. The data under analysis are taken from the captions by influencers using English on Instagram and Twitter. The result

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Mukhamediyarov, M., and D. Bekaryssova. "Social media and health care: a cross-sectional analysis of X (Twitter) posts using the NodeXL platform." Central Asian Journal of Medical Hypotheses and Ethics 5, no. 3 (2024): 218–24. http://dx.doi.org/10.47316/cajmhe.2024.5.3.08.

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Introduction. The landscape of healthcare and medical education is rapidly evolving, driven by the popularity of social media platforms like Facebook, WeChat, and X (Twitter). These platforms have transformed healthcare communication, enabling trainees, medical students, and practitioners to enhance learning and clinical practice. Educators leverage social media to simplify complex medical concepts, fostering continuous learning and professional development. Despite their benefits, social media, notably X (Twitter), boasting over 186 million active users, are susceptible to misinformation, und

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Yuliati, Anik, and Syamsul Huda. "Analysis of Influencer's Influence As Digital Marketing." Eduvest - Journal of Universal Studies 2, no. 11 (2022): 2288–94. http://dx.doi.org/10.36418/eduvest.v2i11.643.

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Technology continues to develop and advance which has a major impact on everyday life including the online marketing process, one of which is by using social media influencers. An influencer is someone who acts as an bring another one because of their views, advice, or opinions so that they can influence buyers. This study aims to analyze the influence of influencers as digital marketing. This study uses a qualitative approach with a descriptive method, namely bt defining various matter being studied and then drawing conclusions. The results of the study show that influencers are carriers of i

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Yuliati, Anik, and Syamsul Huda. "Analysis of Influencer's Influence As Digital Marketing." Eduvest - Journal of Universal Studies 2, no. 11 (2022): 2288–94. http://dx.doi.org/10.59188/eduvest.v2i11.643.

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Technology continues to develop and advance which has a major impact on everyday life including the online marketing process, one of which is by using social media influencers. An influencer is someone who acts as an bring another one because of their views, advice, or opinions so that they can influence buyers. This study aims to analyze the influence of influencers as digital marketing. This study uses a qualitative approach with a descriptive method, namely bt defining various matter being studied and then drawing conclusions. The results of the study show that influencers are carriers of i

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Rizqiyah, Nayla, and Dinie Anggraeni Dewi. "Pengaruh Media Sosial Twitter Terhadap Wawasan Kebangsaan Remaja Indonesia dari Perspektif Psikologi Sosial." Journal on Education 3, no. 3 (2021): 230–35. http://dx.doi.org/10.31004/joe.v3i3.372.

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The stage of human development in psychology is divided into several phases. In this case, the social psychology theory of development and behavior will be used to explore the patterns of social media influence. By using the case study method, this study aims to determine how the influence of Twitter social media on the national insight of adolescents. According to Erikson, adolescence begins at the age of 15-20 years. The main instrument that influences the national insight of the younger generation today is content from Twitter users themselves, as well as from influencers or public figures

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Jordan, Lisa, James Kalin, and Colleen Dabrowski. "Characteristics of Gun Advertisements on Social Media: Systematic Search and Content Analysis of Twitter and YouTube Posts." Journal of Medical Internet Research 22, no. 3 (2020): e15736. http://dx.doi.org/10.2196/15736.

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Background Although gun violence has been identified as a major public health concern, the scope and significance of internet gun advertising is not known. Objective This study aimed to quantify the characteristics of gun advertising on social media and to compare the reach of posts by manufacturers with those of influencers. Methods Using a systematic search, we created a database of recent and popular Twitter and YouTube posts made public by major firearm manufacturers and influencers. From our sample of social media posts, we reviewed the content of the posts on the basis of 19 different ch

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Valliyammai, C., D. Manikandan, R. Hariprasanth, B. Tamilvanan, and C. Aravind. "Emergency Information Diffusion of COVID 19 using Machine Learning Techniques." Indian Journal Of Science And Technology 17, no. 48 (2024): 5091–98. https://doi.org/10.17485/ijst/v17i48.2067.

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Objectives : To find the real time influential user in Twitter to diffuse emergency information globally during COVID 19 using social media. Methods: Twitter API is used to extract the real time COVID related tweets with trending hashtags where 80,000 live tweets are collected to process the data. Machine learning models such as Random Forest, Logistic Regression, Decision Tree, Linear Support Vector Machine, Extreme Gradient Boosting, K-Nearest Neighbor, and Ridge are trained to classify the COVID-related data. K-means clustering groups the communities with respect to zone-wise where the top

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Moukarzel, Sara, Martin Rehm, Anita Caduff, Miguel del Fresno, Rafael Perez-Escamilla, and Alan J. Daly. "Real-time Twitter interactions during World Breastfeeding Week: A case study and social network analysis." PLOS ONE 16, no. 3 (2021): e0249302. http://dx.doi.org/10.1371/journal.pone.0249302.

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Using Twitter to implement public health awareness campaigns is on the rise, but campaign monitoring and evaluation are largely dependent on basic Twitter Analytics. To establish the potential of social network theory-based metrics in better understanding public health campaigns, we analyzed real-time user interactions on Twitter during the 2020 World Breastfeeding Week (WBW) as an exemplar case. Social network analysis (SNA), including community and influencer identification, as well as topic modeling were used to compare the activity of n = 29,958 campaign participants and n = 10,694 referen

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Adniati, Siti, Irwansyah Irwansyah, and Zata Yumni Awanis. "Social Network Analysis of Twitter Users on BTS Topic Using Degree Centrality, Betweenness Centrality, and Closeness Centrality." InPrime: Indonesian Journal of Pure and Applied Mathematics 5, no. 2 (2023): 123–35. http://dx.doi.org/10.15408/inprime.v5i2.28722.

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AbstractNowadays, a trademark is starting to be built through content on social media by involving influencers whose roles are increasingly needed in digital marketing. Hence, finding them on social media networks is an important thing. In brand recognition, BTS has a great influence where a brand they collaborate with gets an enthusiastic response from fans who participate in disseminating information and recommending it to others via Twitter. Therefore, this study aims to identify the potential influencer on the delivery of information on the topic of BTS on Twitter using social network anal

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Febrianta, Mochamad Yudha, Yusditira Yusditira, and Sri Widianesty. "Application of social network analysis for determining the suitable social media influencers." International Journal of Research in Business and Social Science (2147- 4478) 10, no. 6 (2021): 348–54. http://dx.doi.org/10.20525/ijrbs.v10i6.1347.

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Virtual Hotel Operator (VHO) trend is growing rapidly, especially in Indonesia. Two of the most popular VHO in Indonesia are OYO and RedDoorz, both have been competing to attain the first position. Both OYO and RedDoorz have their own social media marketing strategies. For example, OYO persuades other conventional hotels to collaborate and use the OYO platform in their businesses. On the other hand, RedDoorz was recorded as the most visited Virtual Hotel Operator Platform in 2019, based on the data of Konsumen Jakpat 2019. OYO and RedDoorz also utilize social media to promote their services su

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Arya, Arshia, Soham De, Dibyendu Mishra, et al. "DISMISS: Database of Indian Social Media Influencers on Twitter." Proceedings of the International AAAI Conference on Web and Social Media 16 (May 31, 2022): 1201–7. http://dx.doi.org/10.1609/icwsm.v16i1.19370.

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Databases of highly networked individuals have been indispensable in studying narratives and influence on social media. To support studies on Twitter in India, we present a systematically categorized database of accounts of influence on Twitter in India, identified and annotated through an iterative process of friends, networks, and self-described profile information, verified manually. We built an initial set of accounts based on the friend network of a seed set of accounts based on real-world renown in various fields, and then snowballed ``friends of friends" multiple times, and rank ordered

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Zare Chahooki, Mohammed Ali, Kia Jahanbin, and Tole Sutikno. "Cryptocurrencies investment framework using sentiment analysis of Twitter influencers." Indonesian Journal of Electrical Engineering and Computer Science 30, no. 2 (2023): 1068. http://dx.doi.org/10.11591/ijeecs.v30.i2.pp1068-1079.

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<span>In recent years, cryptocurrency technology has become an attractive area for investment due to its transparency, independence, and non-transactional nature. Many analysts and researchers talk daily on social media about the future of various cryptocurrencies. These ideas can significantly impact whether or not people are willing to invest. This paper provides a framework to help traders learn about the opinions of influential people and organizations in the field. Over the course of six months, the sentiment of more than 90 significant Twitter users was extracted for the proposed f

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Atarere, Joseph O., Comfort Y. Adewunmi, Thilini Delungahawatta, et al. "S1699 The Top 100 Influencers in Gastroenterology on Twitter." American Journal of Gastroenterology 118, no. 10S (2023): S1269. http://dx.doi.org/10.14309/01.ajg.0000956436.28650.c5.

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Mohammed, Ali Zare Chahooki, Jahanbin Kia, and Sutikno Tole. "Cryptocurrencies investment framework using sentiment analysis of Twitter influencers." Cryptocurrencies investment framework using sentiment analysis of Twitter influencers 30, no. 2 (2023): 1068–79. https://doi.org/10.11591/ijeecs.v30.i2.pp1068-1079.

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In recent years, cryptocurrency technology has become an attractive area for investment due to its transparency, independence, and non-transactional nature. Many analysts and researchers talk daily on social media about the future of various cryptocurrencies. These ideas can significantly impact whether or not people are willing to invest. This paper provides a framework to help traders learn about the opinions of influential people and organizations in the field. Over the course of six months, the sentiment of more than 90 significant Twitter users was extracted for the proposed framework. In

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Adi, Ana. "#publicrelations on Twitter: Pushers, Talkers, Influencers on Spamming PR and Job Hunting." Romanian Journal of Communication and Public Relations 17, no. 3 (2015): 41. http://dx.doi.org/10.21018/rjcpr.2015.3.167.

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<p>A space generally associated with marketers and breaking news (Hobsbawn, 2009 cited in Evans, Twomey &amp; Talan, 2011), Twitter has also become a space debate, community building and legitimization for companies and social movements alike. The academic literature has seen a rise in interest in the micro-blogging platform. For instance, Adi and Moloney (2012) assess the strategic uses of Twitter by protest groups, Adi, Erickson and Lilleker (2014) reflect on the networks and use pattern of the same platform by politicians, namely UK Labor party representatives in the House of Lord

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Park, SangHee, Claire Youngnyo Joa, and Brett Labbé. "Who Will Help You to Practice Good Health Habits and Who Will Give You Eating Disorders? Analysis of WeightWatchers Twitter Network." Health & New Media Research 6, no. 1 (2022): 35–64. http://dx.doi.org/10.22720/hnmr.2022.6.1.035.

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This study explores the attributes and level of influence of Twitter users and how different types of network influencers emerge as agenda setters on WeightWatchers’ free diet program for teens. This study collected and analyzed data through the computer-assisted content analysis program and network analysis software, NodeXL. Celebrities on social networking sites were found to have greater centrality, but health advocates (against the Weight Watchers’ teens free program) also have the role of influencers. The WeightWatcher brand online community includes health advocates, researchers, activis

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TAMSIR, FAZILAH, NOOR NASYIKIN MD ZAIN, HALIMI PONIRAN, et al. "SOCIAL MEDIA INFLUENCERS’ ATTRIBUTES ON FOLLOWERS’ PURCHASE INTENTION IN MALAYSIA." Quantum Journal of Social Sciences and Humanities 4, no. 6 (2023): 1–14. http://dx.doi.org/10.55197/qjssh.v4i6.283.

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Social media is a platform that connects people especially between the business organisation and customer. It became a marketing strategy to manage market shrinkage in diverse industries. This study aims to investigate the influence of brand awareness on purchase intention through the mediating role of influencers’ attributes (credibility and endorsement) among consumers in Selangor, Malaysia. This study was hinged on the Source Credibility Theory. Using a survey research method, a structured questionnaire was administered among 389 social media (such as Facebook, Instagram, Twitter, and TikTo

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Kusumawati, Miranti Budi, and Nani Nuraini Sarah. "ROLE OF DIGITAL INFLUENCERS IN THE CUSTOMER LIFECYCLE AND THE CONNECTION OF SOCIAL MEDIA IN MARKETING ACTIVITIES IN INDONESIA." International Proceeding on Entrepreneurship 1, no. 1 (2024): 1–14. http://dx.doi.org/10.32493/ipe.v1i1.38888.

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The presence of Social Media has changed the perspective of entrepreneurs in their marketing strategies and sales improvement. The emergence of platforms like Instagram, Twitter, and Blogger content is crucial for expanding beneficial information for companies. Writers on Instagram, Twitter, and Blogs can be considered as digital influencers who influence the perceptions and views of their readers/followers through digital platforms. The aim of this study is to examine the relationship between Bloggers or Buzzers (digital influencers) in the customer lifecycle stage. Furthermore, it is to inve

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C, Valliyammai, Manikandan D, Hariprasanth R, Tamilvanan B, and Aravind C. "Emergency Information Diffusion of COVID 19 using Machine Learning Techniques." Indian Journal of Science and Technology 17, no. 48 (2024): 5091–98. https://doi.org/10.17485/IJST/v17i48.2067.

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Abstract <strong>Objectives :</strong> To find the real time influential user in Twitter to diffuse emergency information globally during COVID 19 using social media.<strong> Methods:</strong> Twitter API is used to extract the real time COVID related tweets with trending hashtags where 80,000 live tweets are collected to process the data. Machine learning models such as Random Forest, Logistic Regression, Decision Tree, Linear Support Vector Machine, Extreme Gradient Boosting, K-Nearest Neighbor, and Ridge are trained to classify the COVID-related data. K-means clustering group

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Firdaniza, Firdaniza, Budi Nurani Ruchjana, Diah Chaerani, and Jaziar Radianti. "Information Diffusion Model in Twitter: A Systematic Literature Review." Information 13, no. 1 (2021): 13. http://dx.doi.org/10.3390/info13010013.

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Information diffusion, information spread, and influencers are important concepts in many studies on social media, especially Twitter analytics. However, literature overviews on the information diffusion of Twitter analytics are sparse, especially on the use of continuous time Markov chain (CTMC). This paper examines the following topics: (1) the purposes of studies about information diffusion on Twitter, (2) the methods adopted to model information diffusion on Twitter, (3) the metrics applied, and (4) measures used to determine influencer rankings. We employed a systematic literature review

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Harding, Kassandra, Rafael Pérez-Escamilla, Grace Carroll, Richmond Aryeetey, and Opeyemi Lasisi. "Four Dissemination Pathways for a Social Media–Based Breastfeeding Campaign: Evaluation of the Impact on Key Performance Indicators." JMIR Nursing 2, no. 1 (2019): e14589. http://dx.doi.org/10.2196/14589.

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Background Social media utilization is on the rise globally, and the potential of social media for health behavior campaigns is widely recognized. However, as the landscape of social media evolves, so do techniques used to optimize campaign dissemination. Objective The primary aim of this study was to evaluate the impact of 4 material dissemination paths for a breastfeeding social media marketing campaign in Ghana on exposure and engagement with campaign material. Methods Campaign materials (n=60) were posted to a Facebook and Twitter campaign page over 12 weeks (ie, baseline). The top 40 perf

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Takano, Chisa, and Masaki Aida. "Nodal Degree Correlations Around Twitter’s Influencers Revealed by Two-Hop Followers." Journal of Advanced Computational Intelligence and Intelligent Informatics 26, no. 3 (2022): 289–98. http://dx.doi.org/10.20965/jaciii.2022.p0289.

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In recent years, with the spread of social networking services (SNSs), communication has been facilitated among people regardless of age, occupation, and geographical locations. The SNSs are used not only for directly developing friendships, but also as a tool for spreading friendships, allowing users to exchange information in real-time with people having common interests. Twitter, in particular, is a service with a large number of users and a considerable influence on information diffusion. In this study, the characteristics of the follower networks centered on various Twitter influencers ar

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Muiños Morales, Pilar. "Los influencers en el protocolo. Un caso de estudio / Influencers and protocol. A case study." REVISTA ESTUDIOS INSTITUCIONALES 4, no. 6 (2017): 67. http://dx.doi.org/10.5944/eeii.vol.4.n.6.2017.18826.

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La figura del prescriptor ha sido siempre un recurso utilizado en la publicidad, pero con la aparición de las redes sociales, esa figura se ha ampliado y se implantado en la sociedad el concepto de influencer, como una persona o personalidad que tiene la habilidad de influir en un determinado público a través de sus valoraciones sobre alguna marca, productos, servicios o eventos. .Los blogs y espacios como las redes sociales, sobre todo Twitter, Instagram o Youtube han favorecido la aparición de un nuevo perfil de prescriptores, unos líderes de opinión a los que las marcas y las empresas recur

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Gkritzali, Alkmini, Eleni Mavragani, and Dimitris Gritzalis. "Negative MWOM and value co-destruction during destination crises." Business Process Management Journal 26, no. 4 (2019): 839–56. http://dx.doi.org/10.1108/bpmj-07-2019-0278.

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PurposeThe purpose of this paper is to examine the impact of microblogging word of mouth (MWOM) through twitter on value co-destruction for Athens, as a tourism destination facing a sustained crisis. The study demonstrates the sentiment and sharing evolution of tweets, illustrating the value co-destruction of a tourism destination. Overall, the study expands understanding on the online footprints of MWOM in the field of tourism.Design/methodology/approachIt uses social media focused data mining and sentiment analysis, to analyze more than 90,000 tweets posted by top twitter influencers between

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Savita and Ishwar Mittal Dr. "The Relationship Between Number Of Influencers And Their Followers." International Journal of Advance and Applied Research 10, no. 4 (2023): 365–71. https://doi.org/10.5281/zenodo.7701404.

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Every day, consumers have many choices about what to buy. This purchase choice is the culmination of extensive consideration of wants, needs, and other factors. In addition to these, friends, relatives and coworkers all play a role in shaping consumer preferences. In recent years, it has become clear that social media influencers can sway the purchasing decisions of their followers. The objective of this study is to discover number of influencer that followers know on the given social media platforms. Data was gathered from primary as well as secondary sources such as questionnaire, Google for

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Bokunewicz, Jane F., and Jason Shulman. "Influencer identification in Twitter networks of destination marketing organizations." Journal of Hospitality and Tourism Technology 8, no. 2 (2017): 205–19. http://dx.doi.org/10.1108/jhtt-09-2016-0057.

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Purpose Destination marketing organizations (DMOs) use Twitter to promote attractions and special events and to build brand awareness. Tweets of a DMO spread through a complex network of connected accounts. Some of these are more influential than others due to their position within the network. This paper aims to use a network analysis of 14 DMOs to identify the categories of influencers that have the greatest reach. Design/methodology/approach NodeXL was used to download and analyze network data from Twitter during July 2016 for a collection of DMOs promoting US cities. Accounts in the networ

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Rohlinger, Deana A., Kyle Rose, Sarah Warren, and Stuart Shulman. "Does the Musk Twitter Takeover Matter? Political Influencers, Their Arguments, and the Quality of Information They Share." Socius: Sociological Research for a Dynamic World 9 (January 2023): 237802312311521. http://dx.doi.org/10.1177/23780231231152193.

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In October 2022, Elon Musk took over Twitter. Although conservatives cheered the takeover, progressives decried it as dangerous for democracy. Despite scholarly interest in Twitter, little is known about the impact of “old” Twitter’s policies on the information environment, making it difficult to speculate about Musk’s effects. The authors begin to address this gap through an analysis of 245,020 tweets collected before and after Twitter suspended eight accounts calling for state audits of the 2020 presidential election results. In this analysis of message amplifiers, or accounts receiving 200

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