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Relevant bibliographies by topics / Twitter influence

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Academic literature on the topic 'Twitter influence'

Author: Grafiati

Published: 4 June 2021

Last updated: 14 February 2022

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Journal articles on the topic "Twitter influence"

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McGregor, Shannon C., and Logan Molyneux. "Twitter’s influence on news judgment: An experiment among journalists." Journalism 21, no. 5 (2018): 597–613. http://dx.doi.org/10.1177/1464884918802975.

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The literature suggests that journalists give a substantial amount of attention to Twitter and use the platform widely, but the impact of that use on news judgment has not been assessed. We hypothesize that Twitter affects journalists’ news judgment, impacting coverage decisions. To test this, we conducted an online survey experiment on working US journalists ( N = 212). We find that journalists who use Twitter less in their work discount news they see on the platform, potentially causing them to dismiss information that many of their colleagues identify as newsworthy. Our results also indicat

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Shuai, Xin, Ying Ding, Jerome Busemeyer, Shanshan Chen, Yuyin Sun, and Jie Tang. "Modeling Indirect Influence on Twitter." International Journal on Semantic Web and Information Systems 8, no. 4 (2012): 20–36. http://dx.doi.org/10.4018/jswis.2012100102.

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Social influence in social networks has been extensively researched. Most studies have focused on direct influence, while another interesting question can be raised as whether indirect influence exists between two users who’re not directly connected in the network and what affects such influence. In addition, the theory of complex contagion tells us that more spreaders will enhance the indirect influence between two users. The authors’ observation of intensity of indirect influence, propagated by n parallel spreaders and quantified by retweeting probability in two Twitter social networks, show

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Kapidzic, Sanja, Christoph Neuberger, Stefan Stieglitz, and Milad Mirbabaie. "Interaction and Influence on Twitter." Digital Journalism 7, no. 2 (2018): 251–72. http://dx.doi.org/10.1080/21670811.2018.1522962.

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Efanova, Elena. "Social Media in American Public Policy (On the Example of the Social Network Twitter)." Vestnik Volgogradskogo gosudarstvennogo universiteta. Serija 4. Istorija. Regionovedenie. Mezhdunarodnye otnoshenija, no. 3 (July 2020): 172–79. http://dx.doi.org/10.15688/jvolsu4.2020.3.15.

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Introduction. In the age of digitalization of the public space of communication, social media acts as a new channel of interaction between power and society. On the one hand, electronic forms of public communication formulate a political course and influence the political behavior of the electorate, and on the other hand, replace mass communication by a network. Twitter’s technological capabilities, being an electronic form of public communication, are addressed by representatives of the political elite in the USA. Methods and materials. The work uses network and communicative approaches, meth

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Halpern, Daniel, Sebastián Valenzuela, and James E. Katz. "We Face, I Tweet: How Different Social Media Influence Political Participation through Collective and Internal Efficacy." Journal of Computer-Mediated Communication 22, no. 6 (2017): 320–36. http://dx.doi.org/10.1111/jcc4.12198.

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This study advances a theoretical model centered on collective and internal efficacy to explain the separate pathways through which political sharing on Facebook and Twitter may influence individuals to engage in political activities. We test the model with data from a 2-wave panel survey conducted with an adult population in 2013 in Chile. We found that frequent usage of Facebook and Twitter for sharing political information is conducive to higher levels of participation through different efficacy measures. Facebook has a significant effect on collective—not internal—efficacy, whereas Twitter

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Seitkazin, Ruslan. "Political Communication and Influence Through Twitter." Pro Publico Bono - Magyar Közigazgatás 8, no. 4 (2020): 94–105. http://dx.doi.org/10.32575/ppb.2020.4.7.

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Politicians are now learning that along with advertising on conventional media, they need to invest in online applications in order to get the attention of voters, particularly the youths. Among various microblogging services, Twitter is an essential part of popular culture. Today, Twitter is widely utilised not only to distribute information, but also political views and opinions.Therefore, politicians have turned to social media, particularly to Twitter, as a new form of political communication. The article attempts to capture the ways of using the potential of Twitter in communication strat

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Bigonha, Carolina, Thiago N. C. Cardoso, Mirella M. Moro, Marcos A. Gonçalves, and Virgílio A. F. Almeida. "Sentiment-based influence detection on Twitter." Journal of the Brazilian Computer Society 18, no. 3 (2011): 169–83. http://dx.doi.org/10.1007/s13173-011-0051-5.

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Francalanci, Chiara, and Ajaz Hussain. "Influence-based Twitter browsing with NavigTweet." Information Systems 64 (March 2017): 119–31. http://dx.doi.org/10.1016/j.is.2016.07.012.

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Lee, Euijong, Young-Gab Kim, Young-Duk Seo, Kwangsoo Seol, and Doo-Kwon Baik. "An Evaluation Method for Content Analysis Based on Twitter Content Influence." International Journal of Software Engineering and Knowledge Engineering 27, no. 05 (2017): 841–67. http://dx.doi.org/10.1142/s0218194017500310.

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Twitter is a microblogging website, which has different characteristics from any other social networking service (SNS) in that it has one-directional relationships between users with short posts of less than 140 characters. These characteristics make Twitter not only a social network but also a news media. In addition, Twitter posts have been used and analyzed in various fields such as marketing, prediction of presidential elections, and requirement analysis. With an increase in Twitter usage, we need a more effective method to analyze Twitter content. In this paper, we propose a method for co

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Riddell, Jeff, Alisha Brown, Lynne Robins, Rafae Nauman, Jeanette Yang, and Joshua Jauregui. "What’s All the Chatter? A Mixed-Methods Analysis of Emergency Physicians’ Tweets." Western Journal of Emergency Medicine 21, no. 1 (2019): 26–32. http://dx.doi.org/10.5811/westjem.2019.10.44004.

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Introduction: Twitter is growing in popularity and influence among emergency physicians (EP), with over 2200 self-identified EP users. As Twitter’s popularity has increased among EPs so too has its influence. While there has been debate about the value of Twitter as an effective educational delivery tool, little attention has been paid to the nature of the conversation occurring on Twitter. We aim to describe how influential EPs use Twitter by characterizing the language, purpose, frequencies, content, and degree of engagement of their tweets. Methods: We performed a mixed-methods analysis fol

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Dissertations / Theses on the topic "Twitter influence"

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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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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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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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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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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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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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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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Holmström, Jesper, and Daniel Jonsson. "A study on the characteristics of spreading news on Twitter : The influence social media has on society." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148855.

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The spreading of news on social media is a complex process and sought-after skill in today’s society. People spreading political beliefs, marketing teams who want to make money and people who want to achieve fame are all trying to understand the best way to influence others. Many are trying to understand this complex process to limit the impact that the spreading of fake news and other misinformation may have on society. This re- search has gained a lot of attention recently, but no definite answers to several important questions have been found. Our main contribution is to create a methodolog

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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 influence"

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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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Cove, Renee. Amazing Influence: Rain. Chess. and TWITTER with NORTH KOREA's SUPREME LEADER. Independently Published, 2020.

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Watkins, Brandi. Sports Teams, Fans, and Twitter: The Influence of Social Media on Relationships and Branding. Rowman & Littlefield Publishers, Incorporated, 2020.

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Watkins, Brandi. Sport Teams, Fans, and Twitter: The Influence of Social Media on Relationships and Branding. Lexington Books, 2018.

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Politics and the Twitter Revolution: How Tweets Influence the Relationship between Political Leaders and the Public. Lexington Books/Fortress Academic, 2013.

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Miller, Robert. Social Media Marketing 2019: How to Brand Yourself Online Through Facebook, Twitter, YouTube & Instagram - Highly Effective Strategies for Digital Networking, Personal Branding, and Online Influence. Independently published, 2019.

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Ty, Eleanor. Introduction. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252040887.003.0001.

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While the hashtags #Asianfail, #failAsian and #Asianfailure on Tumblr, Instagram and Twitter feature pictures and humorous anecdotes of Asians who "fail" at doing what Asians are supposed to be good at, cooking rice, using chopsticks, excelling in Math, playing the violin, they are poignant reminders of the ideological power of stereotypes. The myth of the model minority, with its stress on economic and professional success continues to influence the way Asian North Americans see themselves and are perceived by others. The first decade of the twenty-first century has been characterized by econ

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Tom, Fletcher. Book VI Alternative (Including Track 2) Diplomacy, 27 Public Diplomacy and its Offshoots. Oxford University Press, 2016. http://dx.doi.org/10.1093/law/9780198739104.003.0027.

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This chapter discusses public diplomacy, particularly in the context of the digital age. Diplomats now have an increasingly public role to play in projecting their government’s message locally, not just by media appearances and newspaper articles, but by regular use of social media, blogging, Twitter, and evolving techniques. And though technological change has been largely beneficial, the chapter also points to the challenges that technology brings to the field. Diplomats will be part of the debate on our digital rights, tackling the toughest issues around trust and transparency, and helping

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Chadwick, Andrew. Donald Trump, the 2016 U.S. Presidential Campaign, and the Intensification of the Hybrid Media System. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190696726.003.0011.

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Chapter 10 extends the conceptual framework to the extraordinary 2016 U.S. election, showing how Donald Trump’s rise and Hillary Clinton’s downfall were enabled by key aspects of the hybrid media system. The chapter deciphers the main components of Trump’s digital campaign, in particular its shift toward an intensive Facebook advertising strategy and its use of targeted advertising to try to reduce turnout among potential Democrat voters. It shows how Trump was able to translate his celebrity capital into political capital through the use of social media, particularly Twitter, to influence pre

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Ehrenreich, Samuel E., and Marion K. Underwood. Peer Coercion and Electronic Messaging. Edited by Thomas J. Dishion and James Snyder. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199324552.013.12.

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This chapter examines how features of electronic communication (text messaging, Facebook, and Twitter) make it an ideal environment for peer influence, and how positive and negative peer reinforcement via electronic communication relates to the development and perpetuation of antisocial behavior. Electronic modes of communication allow youth to be in contact with their peer group instantaneously and continuously. The continuous access provided by electronic forms of communication may intensify the role of positive and negative reinforcement processes. Electronic communication extends youths’ a

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Book chapters on the topic "Twitter influence"

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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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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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Zong, Shan, Richard Khoury, and Rachid Benlamri. "Local and Global Influence on Twitter." In Advances in Artificial Intelligence. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57351-9_5.

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Ha, Ilkyu, Jason J. Jung, and Chonggun Kim. "Influence of Twitter Activity on College Classes." In Computational Collective Intelligence. Technologies and Applications. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40495-5_61.

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Lopes, Hugo, H. Sofia Pinto, and Alexandre P. Francisco. "Influence and Sentiment Homophily on Twitter Social Circles." In Studies in Computational Intelligence. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30569-1_27.

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Singh, Prabhsimran, and Ravinder Singh Sawhney. "Influence of Twitter on Prediction of Election Results." In Advances in Intelligent Systems and Computing. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6875-1_65.

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Francalanci, Chiara, and Ajaz Hussain. "NavigTweet: A Visual Tool for Influence-Based Twitter Browsing." In New Horizons in Design Science: Broadening the Research Agenda. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18714-3_12.

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Alsaig, Alaa, Ammar Alsaig, Marwah Alsadun, and Soudabeh Barghi. "Context Based Algorithm for Social Influence Measurement on Twitter." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-06152-4_12.

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del Campo-Ávila, José, Nathalie Moreno-Vergara, and Mónica Trella-López. "Analizying Factors to Increase the Influence of a Twitter User." In Advances in Intelligent and Soft Computing. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19917-2_9.

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Prado-Romero, Mario Alfonso, Alberto Fernández Oliva, and Lucina García Hernández. "Identifying Twitter Users Influence and Open Mindedness Using Anomaly Detection." In Progress in Artificial Intelligence and Pattern Recognition. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01132-1_19.

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Conference papers on the topic "Twitter influence"

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Anger, Isabel, and Christian Kittl. "Measuring influence on Twitter." In the 11th International Conference. ACM Press, 2011. http://dx.doi.org/10.1145/2024288.2024326.

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Wu, Ye, and Fuji Ren. "Learning Sentimental Influence in Twitter." In 2011 International Conference on Future Computer Sciences and Application (ICFCSA). IEEE, 2011. http://dx.doi.org/10.1109/icfcsa.2011.34.

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Thawerani, Ali Ahmed, and Sayeed Ghani. "Evolving HMM for ranking Twitter influence." In 2015 International Conference on Information and Communication Technologies (ICICT). IEEE, 2015. http://dx.doi.org/10.1109/icict.2015.7469482.

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Cossu, Jean-Valere, Nicolas Dugue, and Vincent Labatut. "Detecting Real-World Influence through Twitter." In 2015 Second European Network Intelligence Conference (ENIC). IEEE, 2015. http://dx.doi.org/10.1109/enic.2015.20.

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Razis, Gerasimos, and Ioannis Anagnostopoulos. "Semantifying Twitter: The Influence Tracker Ontology." In 2014 9th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP). IEEE, 2014. http://dx.doi.org/10.1109/smap.2014.23.

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Zhang, Zizhu, Weiliang Zhao, Jian Yang, Cecile Paris, and Surya Nepal. "Learning Influence Probabilities and Modelling Influence Diffusion in Twitter." In WWW '19: The Web Conference. ACM, 2019. http://dx.doi.org/10.1145/3308560.3316701.

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Deng, Qianni, and Yunjing Dai. "How Your Friends Influence You: Quantifying Pairwise Influences on Twitter." In 2012 International Conference on Cloud and Service Computing (CSC). IEEE, 2012. http://dx.doi.org/10.1109/csc.2012.36.

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Azaza, Lobna, Sergey Kirgizov, Marinette Savonnet, Eric Leclercq, and Rim Faiz. "Influence Assessment in Twitter Multi-relational Network." In 2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS). IEEE, 2015. http://dx.doi.org/10.1109/sitis.2015.82.

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McNeill, Andrew R., and Pam Briggs. "Understanding Twitter influence in the health domain." In the 23rd International Conference. ACM Press, 2014. http://dx.doi.org/10.1145/2567948.2579280.

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Drakopoulos, Georgios, Andreas Kanavos, and Athanasios Tsakalidis. "Evaluating Twitter Influence Ranking with System Theory." In 12th International Conference on Web Information Systems and Technologies. SCITEPRESS - Science and and Technology Publications, 2016. http://dx.doi.org/10.5220/0005811701130120.

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Reports on the topic "Twitter influence"

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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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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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Marta-Lazo, C., D. Valero-Errazu, and JA Gabelas Barroso. Uso de Twitter en los MOOC: Nuevas formas de interacción juvenil y su influencia en el aprendizaje. Revista Latina de Comunicación Social, 2018. http://dx.doi.org/10.4185/rlcs-2018-1309.

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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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