Predicting the future with social media

Opinion Mining and Sentiment Analysis

Pang, B., & Lee, L. (2008) · now publishers, Inc. eBooks · doi:10.1561/9781601981516 · Cited by 6,957 · see citing works

Opinion mining and sentiment analysis

Pang, B., & Lee, L. (2008) · Foundations and Trends® in Information Retrieval · doi:10.1561/1500000011 · Cited by 6,372 · see citing works

Why we twitter

Java, A., Song, X., Finin, T., & Tseng, B. L. (2007) · doi:10.1145/1348549.1348556 · Cited by 2,662 · see citing works

Cheap and fast---but is it good?: evaluating non-expert annotations for natural language tasks

Snow, R., O'Connor, B., Jurafsky, D., & Ng, A. Y. (2008) · Proceedings of the Conference on Empirical Methods in Natural Language Processing - EMNLP '08 · doi:10.3115/1613715.1613751 · Cited by 1,887 · see citing works

Twitter power: Tweets as electronic word of mouth

Jansen, B. J. J., Zhang, M., Sobel, K., & Chowdury, A. (2009) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.21149 · Cited by 1,664 · see citing works

Social networks that matter: Twitter under the microscope

Huberman, B. A., Romero, D. M., & Wu, F. (2008) · First Monday · doi:10.5210/fm.v14i1.2317 · Cited by 943 · see citing works

Large-Scale Sentiment Analysis for News and Blogs

Godbole, N., Srinivasaiah, M., & Skiena, S. (2007) · International Conference on Weblogs and Social Media · Cited by 581 · see citing works

The predictive power of online chatter

Gruhl, D., Guha, R. V., Kumar, R., Novak, J., & Tomkins, A. (2005) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/1081870.1081883 · Cited by 411 · see citing works

The dynamics of viral marketing

Leskovec, J., Adamic, L. A., & Huberman, B. A. (2006) · ACM Conference on Electronic Commerce (EC) · doi:10.1145/1134707.1134732 · Cited by 391 · see citing works

Predicting Movie Sales from Blogger Sentiment

Mishne, G., & Glance, N. (2006) · Cited by 324 · see citing works

Predicting box-office success of motion pictures with neural networks

Sharda, R., & Delen, D. (2005) · Expert Systems with Applications · doi:10.1016/j.eswa.2005.07.018 · Cited by 298 · see citing works

Movie Reviews and Revenues: An Experiment in Text Regression

Joshi, M., Das, D., Gimpel, K., & Smith, N. A. (2018) · Figshare · doi:10.1184/r1/6473546 · Cited by 207 · see citing works

The Real Power of Artificial Markets

Pennock, D. M., Lawrence, S., Giles, C. L., & Nielsen, F. Å. (2001) · Science · doi:10.1126/science.291.5506.987 · Cited by 185 · see citing works

Predicting the Future

Chen, K., Fine, L. R., & Huberman, B. A. (2003) · Information Systems Frontiers · doi:10.1023/a:1022041805438 · Cited by 153 · see citing works

Improving Movie Gross Prediction through News Analysis

Zhang, W., & Skiena, S. (2009) · IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) · doi:10.1109/wi-iat.2009.53 · Cited by 113 · see citing works

Feedback Loops of Attention in Peer Production

Wu, F., Wilkinson, D. M., & Huberman, B. A. (2009) · doi:10.1109/cse.2009.430 · Cited by 57 · see citing works

Twitter mood predicts the stock market

Bollen, J., Mao, H., & Zeng, X. (2011) · Journal of Computational Science · doi:10.1016/j.jocs.2010.12.007 · Cited by 5,206 · see citing works

Sentiment Analysis and Opinion Mining

Zhang, L., & Liu, B. (2017) · Encyclopedia of Machine Learning and Data Mining · doi:10.1007/978-1-4899-7687-1_907 · Cited by 3,299 · see citing works

Challenges of Big Data analysis

Fan, J., Han, F., & Liu, H. (2014) · National Science Review · doi:10.1093/nsr/nwt032 · Cited by 1,482 · see citing works

Comparing Twitter and Traditional Media Using Topic Models

Zhao, W. X., Jiang, J., Weng, J., He, J., Lim, E.-P., Yan, H., & Li, X. (2011) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-20161-5_34 · Cited by 1,214 · see citing works

Birds of the Same Feather Tweet Together: Bayesian Ideal Point Estimation Using Twitter Data

Barberá, P. (2015) · Political Analysis · doi:10.1093/pan/mpu011 · Cited by 982 · see citing works

Social big data: recent achievements and new challenges

Bello-Orgaz, G., Jung, J. J., & Camacho, D. (2016) · Information Fusion · doi:10.1016/j.inffus.2015.08.005 · Cited by 846 · see citing works

Temporal patterns of happiness and information in a global social network: hedonometrics and Twitter

Dodds, P. S., Harris, K. D., Kloumann, I. M., Bliss, C. A., & Danforth, C. M. (2011) · PLoS ONE · doi:10.1371/journal.pone.0026752 · Cited by 809 · see citing works

Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments

Gimpel, K., Schneider, N., O'Connor, B., Das, D., Mills, D. P., Eisenstein, J., Heilman, M., Yogatama, D., Flanigan, J., & Smith, N. A. (2018) · Figshare · doi:10.1184/r1/6473609.v1 · Cited by 800 · see citing works

Introduction to the Special Issue —Social Media and Business Transformation: A Framework for Research

Aral, S., Dellarocas, C. N., & Godes, D. (2013) · Information Systems Research · doi:10.1287/isre.1120.0470 · Cited by 785 · see citing works

From Predictive to Prescriptive Analytics

Bertsimas, D., & Kallus, N. (2020) · Management Science · doi:10.1287/mnsc.2018.3253 · Cited by 784 · see citing works

Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries

Olteanu, A., Castillo, C., Diaz, F., & Kıcıman, E. (2019) · Frontiers in Big Data · doi:10.3389/fdata.2019.00013 · Cited by 763 · see citing works

Predicting Stock Market Indicators Through Twitter “I hope it is not as bad as I fear”

Zhang, X., Fuehres, H., & Gloor, P. A. (2011) · Procedia - Social and Behavioral Sciences · doi:10.1016/j.sbspro.2011.10.562 · Cited by 643 · see citing works

Predicting consumer behavior with web search

Goel, S., Hofman, J. M., Lahaie, S., Pennock, D. M., & Watts, D. J. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1005962107 · Cited by 636 · see citing works

Network analysis reveals open forums and echo chambers in social media discussions of climate change

Williams, H. T. P., McMurray, J. R., Kurz, T., & Hugo Lambert, F. (2015) · Global Environmental Change · doi:10.1016/j.gloenvcha.2015.03.006 · Cited by 631 · see citing works

Sentiment Analysis: Mining Opinions, Sentiments, and Emotions

Liu, B. (2015) · Cited by 624 · see citing works

A survey of multimodal sentiment analysis

Soleymani, M., García, D., Jou, B., Schuller, B. W., Chang, S., & Pantić, M. (2017) · Image and Vision Computing · doi:10.1016/j.imavis.2017.08.003 · Cited by 620 · see citing works

Social Media Mining

Zafarani, R., Abbasi, M. A., & Liu, H. (2014) · Cambridge University Press eBooks · doi:10.1017/cbo9781139088510 · Cited by 608 · see citing works

Predicting crime using Twitter and kernel density estimation

Gerber, M. S. (2014) · Decision Support Systems · doi:10.1016/j.dss.2014.02.003 · Cited by 581 · see citing works

Detecting and Tracking Political Abuse in Social Media

Ratkiewicz, J., Conover, M., Meiss, M., Gonçalves, B., Flammini, A., & Menczer, F. (2021) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v5i1.14127 · Cited by 580 · see citing works

Harvesting ambient geospatial information from social media feeds

Stefanidis, A., Crooks, A. T., & Radzikowski, J. (2011) · GeoJournal · doi:10.1007/s10708-011-9438-2 · Cited by 568 · see citing works

Robust Image Sentiment Analysis Using Progressively Trained and Domain Transferred Deep Networks

You, Q., Luo, J., Jin, H., & Yang, J. (2015) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v29i1.9179 · Cited by 571 · see citing works

Like It or Not

Giachanou, A., & Crestani, F. (2016) · ACM Computing Surveys · doi:10.1145/2938640 · Cited by 562 · see citing works

Untitled work

Ratkiewicz (2011) · doi:10.1145/1963192.1963301 · Cited by 541 · see citing works

Measuring Emotional Contagion in Social Media

Ferrara, E., & Yang, Z. (2015) · PLoS ONE · doi:10.1371/journal.pone.0142390 · Cited by 540 · see citing works

A survey towards an integration of big data analytics to big insights for value-creation

Saggi, M. K., & Jain, S. (2018) · Information Processing & Management · doi:10.1016/j.ipm.2018.01.010 · Cited by 494 · see citing works

Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments

Gimpel, K., Schneider, N., O'Connor, B., Das, D., Mills, D. S., Eisenstein, J., Heilman, M., Yogatama, D., Flanigan, J., & Smith, N. A. (2010) · doi:10.21236/ada547371 · Cited by 491 · see citing works

Big Data Analytics: A Literature Review Paper

Elgendy, N., & Elragal, A. A. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-08976-8_16 · Cited by 483 · see citing works

Sentiment analysis of Twitter data for predicting stock market movements

Pagolu, V. S., Challa, K. N. R., Panda, G., & Majhi, B. (2016) · International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES) · doi:10.1109/scopes.2016.7955659 · Cited by 482 · see citing works

The linguistics of self-branding and micro-celebrity in Twitter: The role of hashtags

Page, R. (2012) · Discourse & Communication · doi:10.1177/1750481312437441 · Cited by 476 · see citing works

Predicting Flu Trends using Twitter data

Achrekar, H., Gandhe, A., Lazarus, R. M., Yu, S.-H., & Liu, B. (2011) · IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) · doi:10.1109/infcomw.2011.5928903 · Cited by 456 · see citing works

Election Forecasts With Twitter

Tumasjan, A., Sprenger, T. O., Sandner, P., & Welpe, I. M. (2010) · Social Science Computer Review · doi:10.1177/0894439310386557 · Cited by 448 · see citing works

Does personal social media usage affect efficiency and well-being?

Brooks, S. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2014.12.053 · Cited by 434 · see citing works

Does Twitter matter? The impact of microblogging word of mouth on consumers’ adoption of new movies

Hennig-Thurau, T., Wiertz, C., & Feldhaus, F. (2015) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-014-0388-3 · Cited by 434 · see citing works

Twitter for crisis communication: lessons learned from Japan's tsunami disaster

Acar, A., & Muraki, Y. (2011) · International Journal of Web Based Communities · doi:10.1504/ijwbc.2011.041206 · Cited by 419 · see citing works

The Role of Social Media in the Capital Market: Evidence from Consumer Product Recalls

LEE, L. F., HUTTON, A. P., & SHU, S. (2015) · Journal of Accounting Research · doi:10.1111/1475-679x.12074 · Cited by 434 · see citing works

On Using Twitter to Monitor Political Sentiment and Predict Election Results

Bermingham, A., & Smeaton, A. F. (2011) · Arrow@dit (Dublin Institute of Technology) · Cited by 392 · see citing works

Unsupervised sentiment analysis with emotional signals

Hu, X., Tang, J., Gao, H., & Liu, H. (2013) · International World Wide Web Conference (WWW) · doi:10.1145/2488388.2488442 · Cited by 390 · see citing works

Understanding the Political Representativeness of Twitter Users

Barberá, P., & Rivero, G. (2014) · Social Science Computer Review · doi:10.1177/0894439314558836 · Cited by 379 · see citing works

Who Tweets? Deriving the Demographic Characteristics of Age, Occupation and Social Class from Twitter User Meta-Data

Sloan, L., Morgan, J., Burnap, P., & Williams, M. L. (2015) · PLoS ONE · doi:10.1371/journal.pone.0115545 · Cited by 368 · see citing works

Sentiment Analysis

Liu, B. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108639286 · Cited by 390 · see citing works

Sentiment analysis in Twitter

Martínez‐Cámara, E., Valdivia, M. T. M., López, L. A. U., & Montejo‐Ráez, A. (2012) · Natural Language Engineering · doi:10.1017/s1351324912000332 · Cited by 349 · see citing works

Automatic Crime Prediction Using Events Extracted from Twitter Posts

Wang, X., Gerber, M. S., & Brown, D. E. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-29047-3_28 · Cited by 344 · see citing works

Tracking suicide risk factors through Twitter in the US.

Jashinsky, J., Burton, S. H., Hanson, C., West, J. H., Giraud-Carrier, C., Barnes, M. D., & Argyle, T. (2014) · Crisis · doi:10.1027/0227-5910/a000234 · Cited by 363 · see citing works

More Tweets, More Votes: Social Media as a Quantitative Indicator of Political Behavior

DiGrazia, J., McKelvey, K., Bollen, J., & Rojas, F. G. (2013) · PLoS ONE · doi:10.1371/journal.pone.0079449 · Cited by 334 · see citing works

The four dimensions of social network analysis: An overview of research methods, applications, and software tools

Camacho, D., Panizo-LLedot, Á., Bello-Orgaz, G., González-Pardo, A., & Cambria, E. (2020) · Information Fusion · doi:10.1016/j.inffus.2020.05.009 · Cited by 339 · see citing works

Potential Biases in Big Data: Omitted Voices on Social Media

Hargittai, E. (2018) · Social science computer review · doi:10.1177/0894439318788322 · Cited by 319 · see citing works

Product sales forecasting using online reviews and historical sales data: A method combining the Bass model and sentiment analysis

Fan, Z., Che, Y.-J., & Chen, Z.-Y. (2017) · Journal of Business Research · doi:10.1016/j.jbusres.2017.01.010 · Cited by 328 · see citing works

Motivations for sharing information and social support in social media: A comparative analysis of F acebook, T witter, D elicious, Y ou T ube, and F lickr

Oh, S., & Syn, S. Y. (2015) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23320 · Cited by 334 · see citing works

Hip and trendy: Characterizing emerging trends on Twitter

Naaman, M., Becker, H., & Gravano, L. (2011) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.21489 · Cited by 322 · see citing works

A Meta-Analysis of State-of-the-Art Electoral Prediction From Twitter Data

Gayo-Avello, D. (2013) · Social Science Computer Review · doi:10.1177/0894439313493979 · Cited by 315 · see citing works

Predicting the Political Alignment of Twitter Users

Conover, M. D., Goncalves, B., Ratkiewicz, J., Flammini, A., & Menczer, F. (2011) · 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing · doi:10.1109/passat/socialcom.2011.34 · Cited by 588 · see citing works

Twitter sentiment analysis using hybrid cuckoo search method

Pandey, A. C., Rajpoot, D. S., & Saraswat, M. (2017) · Information Processing & Management · doi:10.1016/j.ipm.2017.02.004 · Cited by 299 · see citing works

Limits of Electoral Predictions Using Twitter

Gayo-Avello, D., Metaxas, P., & Mustafaraj, E. (2021) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v5i1.14189 · Cited by 287 · see citing works

Early Prediction of Movie Box Office Success Based on Wikipedia Activity Big Data

Mestyán, M., Yasseri, T., & Kertész, J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0071226 · Cited by 284 · see citing works

How (Not) to Predict Elections

Metaxas, P., Mustafaraj, E., & Gayo-Avello, D. (2011) · International Conference on Social Computing · doi:10.1109/passat/socialcom.2011.98 · Cited by 286 · see citing works

Business performance and social media: Love or hate?

Paniagua, J., & Sapena, J. (2014) · Business Horizons · doi:10.1016/j.bushor.2014.07.005 · Cited by 280 · see citing works

Machine learning algorithms for social media analysis: A survey

T.K., B., Annavarapu, C. S. R., & Bablani, A. (2021) · Computer Science Review · doi:10.1016/j.cosrev.2021.100395 · Cited by 276 · see citing works

Social media interaction, the university brand and recruitment performance

Rutter, R. N., Roper, S., & Lettice, F. (2016) · Journal of Business Research · doi:10.1016/j.jbusres.2016.01.025 · Cited by 296 · see citing works

Towards felicitous decision making: An overview on challenges and trends of Big Data

Wang, H., Xu, Z., Fujita, H., & Liu, S. (2016) · Information Sciences · doi:10.1016/j.ins.2016.07.007 · Cited by 270 · see citing works

Social media affordances: Enabling customer engagement

Cabiddu, F., Carlo, M. D., & Piccoli, G. (2014) · Annals of Tourism Research · doi:10.1016/j.annals.2014.06.003 · Cited by 269 · see citing works

Is bigger always better? potential biases of big data derived from social network sites

Hargittai, E. (2015) · The ANNALS of the American Academy of Political and Social Science · doi:10.1177/0002716215570866 · Cited by 268 · see citing works

Why the Pirate Party Won the German Election of 2009 or The Trouble With Predictions: A Response to Tumasjan, A., Sprenger, T. O., Sander, P. G., & Welpe, I. M. “Predicting Elections With Twitter: What 140 Characters Reveal About Political Sentiment”

Jungherr, A. M., Jürgens, P., & Schoen, H. (2011) · Social Science Computer Review · doi:10.1177/0894439311404119 · Cited by 266 · see citing works

A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks

Antonakaki, D., Fragopoulou, P., & Ioannidis, S. (2020) · Expert Systems with Applications · doi:10.1016/j.eswa.2020.114006 · Cited by 279 · see citing works

The Role of Caching in Future Communication Systems and Networks

Paschos, G. S., Iosifidis, G., Tao, M., Towsley, D., & Caire, G. (2018) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2018.2844939 · Cited by 259 · see citing works

Mitigating risk in ecommerce transactions: perceptions of information credibility and the role of user-generated ratings in product quality and purchase intention

Flanagin, A. J., Metzger, M. J., Pure, R. A., Markov, A., & Hartsell, E. H. (2014) · Electronic Commerce Research · doi:10.1007/s10660-014-9139-2 · Cited by 258 · see citing works

Flu Detector - Tracking Epidemics on Twitter

Lampos, V., Bie, T. D., & Cristianini, N. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15939-8_42 · Cited by 248 · see citing works

Opinion Mining of Movie Review using Hybrid Method of Support Vector Machine and Particle Swarm Optimization

Basari, A. S. H., Hussin, B., Ananta, I. G. P., & Zeniarja, J. (2013) · Procedia Engineering · doi:10.1016/j.proeng.2013.02.059 · Cited by 244 · see citing works

Dengue surveillance based on a computational model of spatio-temporal locality of Twitter

Gomide, J., Veloso, A., Meira, W., Almeida, V. A. F., Benevenuto, F., Ferraz, F., & Teixeira, M. M. (2011) · ACM Web Science Conference (WebSci) · doi:10.1145/2527031.2527049 · Cited by 243 · see citing works

Optimal content placement for a large-scale VoD system

Applegate, D., Archer, A. F., Gopalakrishnan, V., Lee, S., & Ramakrishnan, K. K. (2010) · Proceedings of the 6th International Conference · doi:10.1145/1921168.1921174 · Cited by 241 · see citing works

Vulnerability disclosure in the age of social media: exploiting twitter for predicting real-world exploits

Sabottke, C. F., Suciu, O., & Dumitraş, T. (2015) · Cited by 238 · see citing works

Web Search Queries Can Predict Stock Market Volumes

Bordino, I., Battiston, S., Caldarelli, G., Cristelli, M., Ukkonen, A., & Weber, I. G. (2012) · PLoS ONE · doi:10.1371/journal.pone.0040014 · Cited by 232 · see citing works

Predicting Hotel Demand Using Destination Marketing Organization’s Web Traffic Data

Yang, Y., Pan, B., & Song, H. (2013) · Journal of Travel Research · doi:10.1177/0047287513500391 · Cited by 234 · see citing works

The influence of investor sentiment on the green bond market

Chousa, J. P., Cabarcos, Á. L., Caby, J., & Šević, A. (2020) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.120351 · Cited by 233 · see citing works

Sentiment analysis of twitter audiences: Measuring the positive or negative influence of popular twitterers

Bae, Y., & Lee, H. (2012) · J. Assoc. Inf. Sci. Technol. · doi:10.1002/asi.22768 · Cited by 224 · see citing works

The Digital Divide Among Twitter Users and Its Implications for Social Research

Blank, G. (2016) · Social Science Computer Review · doi:10.1177/0894439316671698 · Cited by 225 · see citing works

Cryptocurrency Price Prediction Using Tweet Volumes and Sentiment Analysis

Abraham, J., Higdon, D., Nelson, J. B., & Ibarra, J. G. (2018) · SMU Scholar (Southern Methodist University) · Cited by 223 · see citing works

Quantifying the effect of sentiment on information diffusion in social media

Ferrara, E., & Yang, Z. (2015) · PeerJ Computer Science · doi:10.7717/peerj-cs.26 · Cited by 222 · see citing works

Stream-based active learning for sentiment analysis in the financial domain

Smailović, J., Grćar, M., Nada Lavrač, A., & Žnidaršič, M. (2014) · Information Sciences · doi:10.1016/j.ins.2014.04.034 · Cited by 220 · see citing works

The power of prediction with social media

Schoen, H., Gayo-Avello, D., Metaxas, P., Mustafaraj, E., Strohmaier, M., & Gloor, P. A. (2013) · Internet Research · doi:10.1108/intr-06-2013-0115 · Cited by 217 · see citing works

Nowcasting Events from the Social Web with Statistical Learning

Lampos, V., & Cristianini, N. (2012) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/2337542.2337557 · Cited by 213 · see citing works

Analyzing and predicting viral tweets

Jenders, M., Kasneci, G., & Naumann, F. (2013) · International World Wide Web Conference (WWW) · doi:10.1145/2487788.2488017 · Cited by 206 · see citing works

Inferring the impacts of social media on crowdfunding

Lu, C.-T., Xie, S., Kong, X., & Yu, P. S. (2014) · ACM International Conference on Web Search and Data Mining (WSDM) · doi:10.1145/2556195.2556251 · Cited by 207 · see citing works

Interactive or reactive? Marketing with Twitter

Burton, S., & Soboleva, A. (2011) · Journal of Consumer Marketing · doi:10.1108/07363761111181473 · Cited by 205 · see citing works

Predicting Information Spreading in Twitter

Zaman, T. R., Herbrich, R., Gael, J. V., & Stern, D. (2010) · Cited by 203 · see citing works

Social Media Impact on Holiday Travel Planning

Fotis, J., Buhalis, D., & Rossides, N. (2011) · International Journal of Online Marketing · doi:10.4018/ijom.2011100101 · Cited by 203 · see citing works

Twitter sentiment analysis: Capturing sentiment from integrated resort tweets

Philander, K. S., & Zhong, Y. (2016) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2016.02.001 · Cited by 201 · see citing works

Determinants of information retweeting in microblogging

Liu, Z., Liu, L., & Li, H. (2012) · Internet Research · doi:10.1108/10662241211250980 · Cited by 200 · see citing works

Can Collective Sentiment Expressed on Twitter Predict Political Elections?

Chung, J., & Mustafaraj, E. (2011) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v25i1.8065 · Cited by 198 · see citing works

Knowing the Tweeters: Deriving Sociologically Relevant Demographics from Twitter

Sloan, L., Morgan, J., Housley, W., Williams, M. L., Edwards, A., Burnap, P., & RANA, O. F. (2013) · Sociological Research Online · doi:10.5153/sro.3001 · Cited by 197 · see citing works

An empirical investigation of signaling in reward-based crowdfunding

Kunz, M. M., Bretschneider, U., Erler, M., & Leimeister, J. M. (2016) · Electronic Commerce Research · doi:10.1007/s10660-016-9249-0 · Cited by 195 · see citing works

Cross-modality Consistent Regression for Joint Visual-Textual Sentiment Analysis of Social Multimedia

You, Q., Luo, J., Jin, H., & Yang, J. (2016) · ACM International Conference on Web Search and Data Mining (WSDM) · doi:10.1145/2835776.2835779 · Cited by 195 · see citing works

A Survey of Sentiment Analysis from Social Media Data

Chakraborty, K., Bhattacharyya, S., & Bag, R. (2020) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2019.2956957 · Cited by 199 · see citing works

A new direction in social network analysis: Online social network analysis problems and applications

Can, Ü., & Alataş, B. (2019) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2019.122372 · Cited by 193 · see citing works

Feature Driven and Point Process Approaches for Popularity Prediction

Mishra, S., Rizoiu, M.-A., & Xie, L. (2016) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/2983323.2983812 · Cited by 192 · see citing works

Understanding the predictive power of social media

Kalampokis, E., Tambouris, E., & Tarabanis, K. A. (2013) · Internet Research · doi:10.1108/intr-06-2012-0114 · Cited by 190 · see citing works

Stock market prediction using machine learning techniques

Usmani, M., Adil, S. H., Raza, K., & Ali, S. S. A. (2016) · doi:10.1109/iccoins.2016.7783235 · Cited by 189 · see citing works

Mining the web to predict future events

Radinsky, K., & Horvitz, E. (2013) · ACM International Conference on Web Search and Data Mining (WSDM) · doi:10.1145/2433396.2433431 · Cited by 188 · see citing works

Online social networks and offline protest

Steinert-Threlkeld, Z. C., Mocanu, D., Vespignani, A., & Fowler, J. (2015) · EPJ Data Science · doi:10.1140/epjds/s13688-015-0056-y · Cited by 165 · see citing works

Social Media Analyses for Social Measurement

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