RESEARCH ARTICLE
Sentiment analysis of twitter audiences: Measuring the positive or negative influence of popular twitterers
Abstract
Twitter is a popular microblogging service that is used to read and write millions of short messages on any topic within a 140‐character limit. Popular or influential users tweet their status and are retweeted, mentioned, or replied to by their audience. Sentiment analysis of the tweets by popular users and their audience reveals whether the audience is favorable to popular users. We analyzed over 3,000,000 tweets mentioning or replying to the 13 most influential users to determine audience sentiment. Twitter messages reflect the landscape of sentiment toward its most popular users. We used the sentiment analysis technique as a valid popularity indicator or measure. First, we distinguished between the positive and negative audiences of popular users. Second, we found that the sentiments expressed in the tweets by popular users influenced the sentiment of their audience. Third, from the above two findings we developed a positive‐negative measure for this influence. Finally, using a Granger causality analysis, we found that the time‐series‐based positive‐negative sentiment change of the audience was related to the real‐world sentiment landscape of popular users. We believe that the positive‐negative influence measure between popular users and their audience provides new insights into the influence of a user and is related to the real world.
Citing Literature
Number of times cited according to CrossRef: 85
- Chris McVittie, Rahul Sambaraju, Freya Bain, ‘I love James Blunt as much as I love herpes’ – ‘I love that you're not ashamed to admit you have both’: Attempted insults and responses on Twitter, Language & Communication, 10.1016/j.langcom.2020.10.001, 76, (23-34), (2021).
- Bilal Abu-Salih, Kit Yan Chan, Omar Al-Kadi, Marwan Al-Tawil, Pornpit Wongthongtham, Tomayess Issa, Heba Saadeh, Malak Al-Hassan, Bushra Bremie, Abdulaziz Albahlal, Time-aware domain-based social influence prediction, Journal of Big Data, 10.1186/s40537-020-0283-3, 7, 1, (2020).
- Maibam Debina Devi, Navanath Saharia, Learning Adaptable Approach to Classify Sentiment with Incremental Datasets., Procedia Computer Science, 10.1016/j.procs.2020.04.262, 171, (2426-2434), (2020).
- Sami Al-Yazidi, Jawad Berri, Mohammed Al-Qurishi, Majed Al-Alrubaian, Measuring Reputation and Influence in Online Social Networks: A Systematic Literature Review, IEEE Access, 10.1109/ACCESS.2020.2999033, (1-1), (2020).
- Yu Ouyang, Richard W. Waterman, Yu Ouyang, Richard W. Waterman, Trump Tweets: A Text Sentiment Analysis, Trump, Twitter, and the American Democracy, 10.1007/978-3-030-44242-2, (89-129), (2020).
- Francesco Bolici, Chiara Acciarini, Lucia Marchegiani, Luca Pirolo, Innovation diffusion in tourism: how information about blockchain is exchanged and characterized on twitter, The TQM Journal, 10.1108/TQM-01-2020-0016, ahead-of-print, ahead-of-print, (2020).
- Kristo Radion Purba, David Asirvatham, Raja Kumar Murugesan, An analysis and prediction model of outsiders percentage as a new popularity metric on Instagram, ICT Express, 10.1016/j.icte.2020.07.001, (2020).
- Angelo Corallo, Laura Fortunato, Alessandra Spennato, Fabrizio Errico, Antonio Pedone, undefined, 2020 9th International Conference on Industrial Technology and Management (ICITM), 10.1109/ICITM48982.2020.9080404, (181-185), (2020).
- Vibhuti Gupta, Kwanghee Jung, Seung-Chul Yoo, Exploring the Power of Multimodal Features for Predicting the Popularity of Social Media Image in a Tourist Destination, Multimodal Technologies and Interaction, 10.3390/mti4030064, 4, 3, (64), (2020).
- Emmanuel Mogaji, Janarthanan Balakrishnan, Tai Anh Kieu, Examining consumer behaviour in the UK Energy sector through the sentimental and thematic analysis of tweets, Journal of Consumer Behaviour, 10.1002/cb.1820, 0, 0, (2020).
- Federico Albanese, Sebastián Pinto, Viktoriya Semeshenko, Pablo Balenzuela, Analyzing mass media influence using natural language processing and time series analysis, Journal of Physics: Complexity, 10.1088/2632-072X/ab8784, 1, 2, (025005), (2020).
- Salvatore Carta, Alessandro Sebastian Podda, Diego Reforgiato Recupero, Roberto Saia, Giovanni Usai, Popularity Prediction of Instagram Posts, Information, 10.3390/info11090453, 11, 9, (453), (2020).
- Arclights and zoom lenses, The Routledge Companion to New Cinema History, 10.4324/9781315666051, (83-95), (2019).
- Suleman Khan, Syed Atif Moqurrab, Rotaba Sehar, Umair Ayub, Opinion and Emotion Mining for Pakistan General Election 2018 on Twitter Data, Intelligent Technologies and Applications, 10.1007/978-981-13-6052-7_9, (98-109), (2019).
- Xiaojing Hu, Shixi Liu, Yudong Zhang, Guozhu Zhao, Cuiqing Jiang, Identifying top persuaders in mixed trust networks for electronic marketing based on word-of-mouth, Knowledge-Based Systems, 10.1016/j.knosys.2019.06.011, (2019).
- Yong Quan, Yichen Song, Lu Deng, Yan Jia, Bin Zhou, Weihong Han, Identify Influentials Based on User Behavior Across Different Topics, Artificial Intelligence and Security, 10.1007/978-3-030-24268-8_44, (476-487), (2019).
- Srishti Vashishtha, Seba Susan, Fuzzy Rule based Unsupervised Sentiment Analysis from Social Media Posts, Expert Systems with Applications, 10.1016/j.eswa.2019.112834, (112834), (2019).
- Liqiang Nie, Meng Liu, Xuemeng Song, Multimodal Learning toward Micro-Video Understanding, Synthesis Lectures on Image, Video, and Multimedia Processing, 10.2200/S00938ED1V01Y201907IVM020, 9, 4, (1-186), (2019).
- Sunghoon Lim, Conrad S. Tucker, Mining Twitter data for causal links between tweets and real-world outcomes, Expert Systems with Applications: X, 10.1016/j.eswax.2019.100007, (100007), (2019).
- Shenghua Liu, Huawei Shen, Houdong Zheng, Xueqi Cheng, Xiangwen Liao, CT LIS, ACM Transactions on Knowledge Discovery from Data, 10.1145/3363570, 13, 6, (1-21), (2019).
- Runxi Zeng, Di Zhu, A model and simulation of the emotional contagion of netizens in the process of rumor refutation, Scientific Reports, 10.1038/s41598-019-50770-4, 9, 1, (2019).
- Maria Cahill, Soohyung Joo, Kathleen Campana, Language investigations of children's information sources: A research agenda, Proceedings of the Association for Information Science and Technology, 10.1002/pra2.2018.14505501007, 55, 1, (56-65), (2019).
- Yinying Wang, Nicholas J. Sauers, Jayson W. Richardson, A Social Network Approach to Examine K-12 Educational Leaders’ Influence on Information Diffusion on TWitter, Journal of School Leadership, 10.1177/105268461602600305, 26, 3, (495-522), (2019).
- Xia Liu, A big data approach to examining social bots on Twitter, Journal of Services Marketing, 10.1108/JSM-02-2018-0049, (2019).
- Stuart Palmer, Nilupa Udawatta, Characterising “Green Building” as a topic in Twitter, Construction Innovation, 10.1108/CI-02-2018-0007, (2019).
- Daniel José Silva Oliveira, Paulo Henrique de Souza Bermejo, José Roberto Pereira, Daniely Aparecida Barbosa, A APLICAÇÃO DA TÉCNICA DE ANÁLISE DE SENTIMENTO EM MÍDIAS SOCIAIS COMO INSTRUMENTO PARA AS PRÁTICAS DA GESTÃO SOCIAL EM NÍVEL GOVERNAMENTAL, Revista de Administração Pública, 10.1590/0034-7612174204, 53, 1, (235-251), (2019).
- Itai Himelboim, Xizhu Xiao, Danielle Ka Lai Lee, Meredith Y. Wang, Porismita Borah, A Social Networks Approach to Understanding Vaccine Conversations on Twitter: Network Clusters, Sentiment, and Certainty in HPV Social Networks, Health Communication, 10.1080/10410236.2019.1573446, (1-9), (2019).
- Frauke Zeller, David Harris Smith, Jacky Au Duong, Alanna Mager, Social Media in Human–Robot Interaction, International Journal of Social Robotics, 10.1007/s12369-019-00573-4, (2019).
- Josh Pasek, Colleen A. McClain, Frank Newport, Stephanie Marken, Who’s Tweeting About the President? What Big Survey Data Can Tell Us About Digital Traces?, Social Science Computer Review, 10.1177/0894439318822007, (089443931882200), (2019).
- Bilal Abu-Salih, Pornpit Wongthongtham, Kit Yan Chan, Dengya Zhu, CredSaT: Credibility ranking of users in big social data incorporating semantic analysis and temporal factor, Journal of Information Science, 10.1177/0165551518790424, 45, 2, (259-280), (2018).
- Abdalsamad Keramatfar, Hossein Amirkhani, Bibliometrics of sentiment analysis literature, Journal of Information Science, 10.1177/0165551518761013, 45, 1, (3-15), (2018).
- Masoud Mazloom, Iliana Pappi, Marcel Worring, Category Specific Post Popularity Prediction, MultiMedia Modeling, 10.1007/978-3-319-73603-7_48, (594-607), (2018).
- Ritanjali Panigrahi, Praveen Ranjan Srivastava, Tweeting Continuing Education, International Journal of Strategic Decision Sciences, 10.4018/IJSDS.2018010106, 9, 1, (79-101), (2018).
- Kate Keib, Itai Himelboim, Jeong-Yeob Han, Important tweets matter: Predicting retweets in the #BlackLivesMatter talk on twitter, Computers in Human Behavior, 10.1016/j.chb.2018.03.025, 85, (106-115), (2018).
- Bilal Abu-Salih, Bushra Bremie, Pornpit Wongthongtham, Kevin Duan, Tomayess Issa, Kit Yan Chan, Mohammad Alhabashneh, Teshreen Albtoush, Sulaiman Alqahtani, Abdullah Alqahtani, Muteeb Alahmari, Naser Alshareef, Abdulaziz Albahlal, Social Credibility Incorporating Semantic Analysis and Machine Learning: A Survey of the State-of-the-Art and Future Research Directions, Primate Life Histories, Sex Roles, and Adaptability, 10.1007/978-3-030-15035-8_87, (887-896), (2018).
- Fachrul Rozy Saputra Rangkuti, M. Ali Fauzi, Yuita Arum Sari, Eka Dewi Lukmana Sari, undefined, 2018 International Conference on Sustainable Information Engineering and Technology (SIET), 10.1109/SIET.2018.8693211, (88-91), (2018).
- Shaghayegh Kolli, Datis Khajeheian, undefined, 2018 2nd National and 1st International Digital Games Research Conference: Trends, Technologies, and Applications (DGRC), 10.1109/DGRC.2018.8712010, (17-26), (2018).
- Kokil Jaidka, Alvin Zhou, Yphtach Lelkes, Brevity Is the Soul of Twitter: The Constraint Affordance and Political Discussion, SSRN Electronic Journal, 10.2139/ssrn.3287552, (2018).
- Amin Beheshti, Kushal Vaghani, Boualem Benatallah, Alireza Tabebordbar, CrowdCorrect: A Curation Pipeline for Social Data Cleansing and Curation, Information Systems in the Big Data Era, 10.1007/978-3-319-92901-9_3, (24-38), (2018).
- undefined, Proceedings of the 10th ACM Conference on Web Science - WebSci '18, 10.1145/3201064.3201087, (271-280), (2018).
- Shahid Shayaa, Noor Ismawati Jaafar, Shamshul Bahri, Ainin Sulaiman, Phoong Seuk Wai, Yeong Wai Chung, Arsalan Zahid Piprani, Mohammed Ali Al-Garadi, Sentiment Analysis of Big Data: Methods, Applications, and Open Challenges, IEEE Access, 10.1109/ACCESS.2018.2851311, 6, (37807-37827), (2018).
- Wei-Lun Chang, The Impact of Emotion: A Blended Model to Estimate Influence on Social Media, Information Systems Frontiers, 10.1007/s10796-018-9824-0, (2018).
- Sameerchand PUDARUTH, Sharmila MOHEEPUTH, Narmeen PERMESSUR, Adeelah CHAMROO, Sentiment Analysis from Facebook Comments using Automatic Coding in NVivo 11, ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 10.14201/ADCAIJ2018714148, 7, 1, (41), (2018).
- Philip M. Massey, Alex Budenz, Amy Leader, Kara Fisher, Ann C. Klassen, Elad Yom-Tov, What Drives Health Professionals to Tweet About #HPVvaccine? Identifying Strategies for Effective Communication, Preventing Chronic Disease, 10.5888/pcd15.170320, 15, (2018).
- María Pilar Salas-Zárate, Mario Andrés Paredes-Valverde, Miguel Ángel Rodríguez-García, Rafael Valencia-García, Giner Alor-Hernández, Sentiment Analysis Based on Psychological and Linguistic Features for Spanish Language, Current Trends on Knowledge-Based Systems, 10.1007/978-3-319-51905-0_4, (73-92), (2017).
- Joan Francesc Fondevila Gascón, Pedro Mir Bernal, Eva Santana López, Josep Rom Rodríguez, New Digital Metrics in Marketing: A Comparative Study on Social Media Use, Media and Metamedia Management, 10.1007/978-3-319-46068-0_45, (343-350), (2017).
- undefined, Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval - ICMR '17, 10.1145/3078971.3078998, (233-241), (2017).
- Daniel José Silva Oliveira, Paulo Henrique de Souza Bermejo, Mídias sociais e administração pública: análise do sentimento social perante a atuação do Governo Federal brasileiro, Organizações & Sociedade, 10.1590/1984-9240827, 24, 82, (491-508), (2017).
- undefined, Proceedings of the on Thematic Workshops of ACM Multimedia 2017 - Thematic Workshops '17, 10.1145/3126686.3126731, (236-244), (2017).
- Jian Xu, Nitesh V. Chawla, undefined, Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 - ASONAM '17, 10.1145/3110025.3110126, (525-532), (2017).
- R. Piryani, D. Madhavi, V.K. Singh, Analytical mapping of opinion mining and sentiment analysis research during 2000–2015, Information Processing & Management, 10.1016/j.ipm.2016.07.001, 53, 1, (122-150), (2017).
- Noor Farizah Ibrahim, Xiaojun Wang, Humphrey Bourne, Exploring the effect of user engagement in online brand communities: Evidence from Twitter, Computers in Human Behavior, 10.1016/j.chb.2017.03.005, 72, (321-338), (2017).
- Omer Topaloglu, Mayukh Dass, Piyush Kumar, Does who we are affect what we say and when? Investigating the impact of activity and connectivity on microbloggers' response to new products, Journal of Business Research, 10.1016/j.jbusres.2017.04.002, 77, (23-29), (2017).
- undefined, Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval - ICMR '17, 10.1145/3078971.3078999, (142-149), (2017).
- Jari Jussila, Mika Boedeker, Harri Jalonen, Nina Helander, Social Media Analytics Empowering Customer Experience Insight, Strategic Innovative Marketing, 10.1007/978-3-319-56288-9_4, (25-30), (2017).
- Reinald Kim Amplayo, Min Song, An adaptable fine-grained sentiment analysis for summarization of multiple short online reviews, Data & Knowledge Engineering, 10.1016/j.datak.2017.03.009, 110, (54-67), (2017).
- Joseph Kwon, Ingoo Han, Byoungsoo Kim, Effects of source influence and peer referrals on information diffusion in Twitter, Industrial Management & Data Systems, 10.1108/IMDS-07-2016-0290, 117, 5, (896-909), (2017).
- Saifuddin Ahmed, Kokil Jaidka, Jaeho Cho, Tweeting India’s Nirbhaya protest: a study of emotional dynamics in an online social movement, Social Movement Studies, 10.1080/14742837.2016.1192457, 16, 4, (447-465), (2016).
- undefined, Proceedings of the 2016 ACM on Multimedia Conference - MM '16, 10.1145/2964284.2967210, (197-201), (2016).
- Eva Lahuerta-Otero, Rebeca Cordero-Gutiérrez, Looking for the perfect tweet. The use of data mining techniques to find influencers on twitter, Computers in Human Behavior, 10.1016/j.chb.2016.07.035, 64, (575-583), (2016).
- Oswaldo Pita, Gabriela Baquerizo, Carmen Vaca, Jonathan Mendieta, Monica Villavicencio, Jorge Rodriguez, undefined, 2016 IEEE Ecuador Technical Chapters Meeting (ETCM), 10.1109/ETCM.2016.7750870, (1-6), (2016).
- Zhaoxia Wang, Victor Joo Chuan Tong, Pingcheng Ruan, Fang Li, undefined, 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW), 10.1109/ICDMW.2016.0142, (978-983), (2016).
- Daniel José Silva Oliveira, Paulo Henrique de Souza Bermejo, Pamela Aparecida dos Santos, Sentiment Analysis, Social Media, and Public Administration, Politics and Social Activism, 10.4018/978-1-4666-9461-3, (159-176), (2016).
- Amanda Dennett, Surya Nepal, Cecile Paris, Bella Robinson, undefined, 2016 IEEE 2nd International Conference on Collaboration and Internet Computing (CIC), 10.1109/CIC.2016.043, (256-265), (2016).
- Leonardo Rocha, Fernando Mourao, Ramon Vieira, Alan Neves, Darlinton Carvalho, Bortik Bandyopadhyay, Srinivasan Parthasarathy, Renato Ferreira, undefined, 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA), 10.1109/DSAA.2016.77, (716-725), (2016).
- Jin Zhang, Yuehua Zhao, Yanyan Wang, A study on statistical methods used in six journals of library and information science, Online Information Review, 10.1108/OIR-07-2015-0247, 40, 3, (416-434), (2016).
- Rui Neves-Silva, Marta Gamito, Paulo Pina, Ana Rita Campos, Modelling Influence and Reach in Sentiment Analysis, Procedia CIRP, 10.1016/j.procir.2016.03.239, 47, (48-53), (2016).
- Martin Quinn, Theodore Lynn, Stephen Jollands, Binesh Nair, Domestic Water Charges in Ireland - Issues and Challenges Conveyed through Social Media, Water Resources Management, 10.1007/s11269-016-1374-y, 30, 10, (3577-3591), (2016).
- Mindi D. Foster, Tweeting about sexism: The well‐being benefits of a social media collective action, British Journal of Social Psychology, 10.1111/bjso.12101, 54, 4, (629-647), (2015).
- Eugenia Siapera, Graham Hunt, Theo Lynn, #GazaUnderAttack: Twitter, Palestine and diffused war, Information, Communication & Society, 10.1080/1369118X.2015.1070188, 18, 11, (1297-1319), (2015).
- Daniel José Silva Oliveira, Paulo Henrique de Souza Bermejo, Pamela Aparecida dos Santos, Sentiment Analysis, Social Media, and Public Administration, Handbook of Research on Democratic Strategies and Citizen-Centered E-Government Services, 10.4018/978-1-4666-7266-6.ch013, (231-249), (2015).
- Heike Ortner, Mediated emotions, Emotion in Language, 10.1075/ceb.10.16ort, (305-324), (2015).
- Staci M. Zavattaro, P. Edward French, Somya D. Mohanty, A sentiment analysis of U.S. local government tweets: The connection between tone and citizen involvement, Government Information Quarterly, 10.1016/j.giq.2015.03.003, 32, 3, (333-341), (2015).
- Leonardo Rocha, Fernando Mourão, Thiago Silveira, Rodrigo Chaves, Giovanni Sá, Felipe Teixeira, Ramon Vieira, Renato Ferreira, SACI: Sentiment analysis by collective inspection on social media content, Journal of Web Semantics, 10.1016/j.websem.2015.05.006, 34, (27-39), (2015).
- undefined, Proceedings of the 23rd ACM international conference on Multimedia - MM '15, 10.1145/2733373.2806361, (907-910), (2015).
- R. Chulaka Gunasekara, Kishan Mehrotra, Chilukuri K. Mohan, Multi-objective optimization to identify key players in large social networks, Social Network Analysis and Mining, 10.1007/s13278-015-0260-6, 5, 1, (2015).
- Leonardo Rocha, Fernando Mourro, Thiago Silveira, Rodrigo Chaves, Giovanni Sa, Felipe Teixeira, Ramon Vieira, Renato Ferreira, SACI: Sentiment Analysis by Collective Inspection on Social Media Content, SSRN Electronic Journal, 10.2139/ssrn.3199195, (2015).
- Cangqi Zhou, Qianchuan Zhao, Wenbo Lu, Impact of Repeated Exposures on Information Spreading in Social Networks, PLOS ONE, 10.1371/journal.pone.0140556, 10, 10, (e0140556), (2015).
- Bob van de Velde, Albert Meijer, Vincent Homburg, Police message diffusion on Twitter: analysing the reach of social media communications, Behaviour & Information Technology, 10.1080/0144929X.2014.942754, 34, 1, (4-16), (2014).
- Zhaoxia Wang, Victor Joo, Chuan Tong, David Chan, undefined, 2014 IEEE 6th International Conference on Cloud Computing Technology and Science, 10.1109/CloudCom.2014.40, (899-904), (2014).
- Hamid Khobzi, Babak Teimourpour, How significant are users’ opinions in social media?, International Journal of Accounting & Information Management, 10.1108/IJAIM-02-2014-0010, 22, 4, (254-272), (2014).
- Zhaoxia Wang, Victor Joo, Chuan Tong, Xin Xin, Hoong Chor Chin, undefined, 2014 IEEE 6th International Conference on Cloud Computing Technology and Science, 10.1109/CloudCom.2014.69, (917-922), (2014).
- Beiming Sun, Vincent TY Ng, undefined, Proceedings of the 2014 IEEE 18th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 10.1109/CSCWD.2014.6846903, (546-551), (2014).
- Tariq Mahmood, Tasmiyah Iqbal, Farnaz Amin, Wajeeta Lohanna, Atika Mustafa, undefined, INMIC, 10.1109/INMIC.2013.6731323, (49-54), (2013).
- Alexander Bazo, Manuel Burghardt, Christian Wolff, TWORPUS – An Easy-to-Use Tool for the Creation of Tailored Twitter Corpora, Language Processing and Knowledge in the Web, 10.1007/978-3-642-40722-2_3, (23-34), (2013).
