Fetching the paper…
Reading the bibliography…
Social media (SM) data provides a vast record of humanity's everyday thoughts, feelings, and actions at a resolution previously unimaginable.
Prediction in dynamic models with time-dependent conditional variances
R. T. Baillie and T. Bollerslev · 1992
Earlier work this paper cites.
Stopped training and other remedies for overfitting
W. S. Sarle · 1996
Earlier work this paper cites.
Customer satisfaction and word of mouth
E. W. Anderson · 1998
Earlier work this paper cites.
Stealth-trading: Which traders’ trades move stock prices?
S. Chakravarty · 2001
Earlier work this paper cites.
Linguistic inquiry and word count: Liwc 2001
J. W. Pennebaker, M. E. Francis, and R. J. Booth · 2001
Earlier work this paper cites.
A non-random walk down Wall Street
A. W. Lo and A. C. MacKinlay · 2002
Earlier work this paper cites.
The efficient market hypothesis and its critics
B. G. Malkiel · 2003
Earlier work this paper cites.
The problem of overfitting
D. M. Hawkins · 2004
Earlier work this paper cites.
Search engine coverage bias: evidence and possible causes
L. Vaughan and M. Thelwall · 2004
Earlier work this paper cites.
The predictive power of online chatter
D. Gruhl, R. Guha, R. Kumar, J. Novak, and A. Tomkins · 2005
Earlier work this paper cites.
Opinionfinder: A system for subjectivity analysis
T. Wilson, P. Hoffmann, S. Somasundaran, J. Kessler, J. Wiebe, Y. Choi, C. Cardie, E. Riloff, and S. Patwardhan · 2005
Earlier work this paper cites.
Reality mining: sensing complex social systems
N. Eagle and A. S. Pentland · 2006
Earlier work this paper cites.
Sampling from large graphs
J. Leskovec and C. Faloutsos · 2006
Earlier work this paper cites.
Predicting movie sales from blogger sentiment
G. Mishne, N. S. Glance, et al · 2006
Earlier work this paper cites.
Why we twitter: understanding microblogging usage and communities
A. Java, X. Song, T. Finin, and B. Tseng · 2007
Earlier work this paper cites.
The dynamics of viral marketing
J. Leskovec, L. A. Adamic, and B. A. Huberman · 2007
Earlier work this paper cites.
Viral marketing for the real world
D. J. Watts, J. Peretti, and M. Frumin · 2007
Earlier work this paper cites.
The political impact of facebook: Evidence from the 2006 midterm elections and 2008 nomination contest
C. B. Williams and G. Gulati · 2008
Earlier work this paper cites.
Social media use in the united states: implications for health communication
W.-Y. S. Chou, Y. M. Hunt, E. B. Beckjord, R. P. Moser, and B. W. Hesse · 2009
Earlier work this paper cites.
Twitter power: Tweets as electronic word of mouth
B. J. Jansen, M. Zhang, K. Sobel, and A. Chowdury · 2009
Earlier work this paper cites.
Life in the network: the coming age of computational social science
D. Lazer, A. S. Pentland, L. Adamic, S. Aral, A. L. Barabasi, D. Brewer, N. Christakis, N. Contractor, J. Fowler, M. Gutmann, et al · 2009
Earlier work this paper cites.
Preferred reporting items for systematic reviews and meta-analyses: The prisma statement
Moher, D and Liberati, A and Tetzlaff, J and Altman, DG and The PRISMA Group · 2009
Earlier work this paper cites.
Analyzing the blogosphere for predicting the success of music and movie products
F. Abel, E. Diaz-Aviles, N. Henze, D. Krause, and P. Siehndel · 2010
Earlier work this paper cites.
Predicting the future with social media
S. Asur and B. A. Huberman · 2010
Earlier work this paper cites.
Find me if you can: improving geographical prediction with social and spatial proximity
L. Backstrom, E. Sun, and C. Marlow · 2010
Earlier work this paper cites.
Agent based information aggregation markets
E. Bothos, D. Apostolou, and G. Mentzas · 2010
Earlier work this paper cites.
Using web and social media for influenza surveillance
C. D. Corley, D. J. Cook, A. R. Mikler, and K. P. Singh · 2010
Earlier work this paper cites.
Earthquake twitter
P. Earle · 2010
Earlier work this paper cites.
A latent variable model for geographic lexical variation
J. Eisenstein, B. O’Connor, N. A. Smith, and E. P. Xing · 2010
Earlier work this paper cites.
The 2010 elections: Twitter isn’t a very reliable prediction tool
P. Goldstein and J. Rainey · 2010
Earlier work this paper cites.
What is twitter, a social network or a news media?
H. Kwak, C. Lee, H. Park, and S. Moon · 2010
Earlier work this paper cites.
From tweets to polls: Linking text sentiment to public opinion time series
B. O’Connor, R. Balasubramanyan, B. R. Routledge, and N. A. Smith · 2010
Earlier work this paper cites.
Earthquake shakes twitter users: real-time event detection by social sensors
T. Sakaki, M. Okazaki, and Y. Matsuo · 2010
Earlier work this paper cites.
A high-resolution human contact network for infectious disease transmission
M. Salathé, M. Kazandjieva, J. W. Lee, P. Levis, M. W. Feldman, and J. H. Jones · 2010
Earlier work this paper cites.
Predicting elections with twitter: What 140 characters reveal about political sentiment
A. Tumasjan, T. O. Sprenger, P. G. Sandner, and I. M. Welpe · 2010
Earlier work this paper cites.
Dynamic debates: An analysis of group polarization over time on twitter
S. Yardi and D. Boyd · 2010
Earlier work this paper cites.
Social media analytics and intelligence
D. Zeng, H. Chen, R. Lusch, and S.-H. Li · 2010
Earlier work this paper cites.
Twitter mood predicts the stock market
J. Bollen, H. Mao, and X. Zeng · 2011
Earlier work this paper cites.
Discriminating gender on twitter
J. D. Burger, J. Henderson, G. Kim, and G. Zarrella · 2011
Earlier work this paper cites.
Political polarization on twitter
M. Conover, J. Ratkiewicz, M. R. Francisco, B. Gonçalves, F. Menczer, and A. Flammini · 2011
Earlier work this paper cites.
Assessing google flu trends performance in the united states during the 2009 influenza virus a (h1n1) pandemic
S. Cook, C. Conrad, A. L. Fowlkes, and M. H. Mohebbi · 2011
Earlier work this paper cites.
Don’t turn social media into another “literary digest” poll
D. Gayo-Avello · 2011
Earlier work this paper cites.
Limits of electoral predictions using twitter
D. Gayo Avello, P. T. Metaxas, and E. Mustafaraj · 2011
Earlier work this paper cites.
Towards active detection of identity clone attacks on online social networks
L. Jin, H. Takabi, and J. B. Joshi · 2011
Earlier work this paper cites.
I’m eating a sandwich in glasgow: modeling locations with tweets
S. Kinsella, V. Murdock, and N. O’Hare · 2011
Earlier work this paper cites.
How (not) to predict elections
P. T. Metaxas, E. Mustafaraj, and D. Gayo-Avello · 2011
Earlier work this paper cites.
Pattern mining for extraction of mentions of adverse drug reactions from user comments
A. Nikfarjam and G. H. Gonzalez · 2011
Earlier work this paper cites.
Investigating predictive power of stock micro blog sentiment in forecasting future stock price directional movement
C. Oh and O. Sheng · 2011
Earlier work this paper cites.
Predicting age and gender in online social networks
C. Peersman, W. Daelemans, and L. Van Vaerenbergh · 2011
Earlier work this paper cites.
Predicting stock market indicators through twitter “i hope it is not as bad as i fear”
X. Zhang, H. Fuehres, and P. A. Gloor · 2011
Earlier work this paper cites.
Towards large-scale twitter mining for drug-related adverse events
J. Bian, U. Topaloglu, and F. Yu · 2012
Earlier work this paper cites.
@ phillies tweeting from philly? predicting twitter user locations with spatial word usage
H.-w. Chang, D. Lee, M. Eltaher, and J. Lee · 2012
Earlier work this paper cites.
Are twitter users equal in predicting elections? a study of user groups in predicting 2012 us republican presidential primaries
L. Chen, W. Wang, and A. P. Sheth · 2012
Earlier work this paper cites.
Making use of social media data in public health
K. Denecke, P. Dolog, and P. Smrz · 2012
Earlier work this paper cites.
User demographics and language in an implicit social network
K. Filippova · 2012
Earlier work this paper cites.
D. Gayo-Avello · 2012
Earlier work this paper cites.
No, you cannot predict elections with twitter
D. Gayo-Avello · 2012
Earlier work this paper cites.
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”
A. Jungherr, P. Jürgens, and H. Schoen · 2012
Earlier work this paper cites.
Nowcasting events from the social web with statistical learning
V. Lampos and N. Cristianini · 2012
Earlier work this paper cites.
Detecting distressed and non-distressed affect states in short forum texts
M. T. Lehrman, C. O. Alm, and R. A. Proano · 2012
Earlier work this paper cites.
Correlating s&p 500 stocks with twitter data
Y. Mao, W. Wei, B. Wang, and B. Liu · 2012
Earlier work this paper cites.
Learning for microblogs with distant supervision: Political forecasting with twitter
M. Marchetti-Bowick and N. Chambers · 2012
Earlier work this paper cites.
Semantic expansion of hashtags for enhanced event detection in twitter
O. Ozdikis, P. Senkul, and H. Oguztuzun · 2012
Earlier work this paper cites.
Analyzing stock market movements using twitter sentiment analysis
T. Rao and S. Srivastava · 2012
Earlier work this paper cites.
Digital epidemiology
M. Salathe, L. Bengtsson, T. J. Bodnar, D. D. Brewer, J. S. Brownstein, C. Buckee, E. M. Campbell, C. Cattuto, S. Khandelwal, P. L. Mabry, et al · 2012
Earlier work this paper cites.
Predicting the 2011 dutch senate election results with twitter
E. T. K. Sang and J. Bos · 2012
Earlier work this paper cites.
Predicting us primary elections with twitter
L. Shi, N. Agarwal, A. Agrawal, R. Garg, and J. Spoelstra · 2012
Earlier work this paper cites.
Tweets and votes: A study of the 2011 singapore general election
M. Skoric, N. Poor, P. Achananuparp, E.-P. Lim, and J. Jiang · 2012
Earlier work this paper cites.
A survey of prediction using social media
S. Yu and S. Kak · 2012
Earlier work this paper cites.
Identifying event-related bursts via social media activities
W. X. Zhao, B. Shu, J. Jiang, Y. Song, H. Yan, and X. Li · 2012
Earlier work this paper cites.
Eventweet: Online localized event detection from twitter
H. Abdelhaq, C. Sengstock, and M. Gertz · 2013
Earlier work this paper cites.
Hierarchical geographical modeling of user locations from social media posts
A. Ahmed, L. Hong, and A. J. Smola · 2013
Earlier work this paper cites.
How noisy social media text, how diffrnt social media sources?
T. Baldwin, P. Cook, M. Lui, A. MacKinlay, and L. Wang · 2013
Earlier work this paper cites.
Counting google searches predicts market movements
P. Ball · 2013
Earlier work this paper cites.
Broadly improving user classification via communication-based name and location clustering on twitter
S. Bergsma, M. Dredze, B. Van Durme, T. Wilson, and D. Yarowsky · 2013
Earlier work this paper cites.
Scoping review on search queries and social media for disease surveillance: a chronology of innovation
T. M. Bernardo, A. Rajic, I. Young, K. Robiadek, M. T. Pham, and J. A. Funk · 2013
Earlier work this paper cites.
Validating models for disease detection using twitter
T. Bodnar and M. Salathé · 2013
Cited alongside, same era.
From interest to function: Location estimation in social media
Y. Chen, J. Zhao, X. Hu, X. Zhang, Z. Li, and T.-S. Chua · 2013
Cited alongside, same era.
Social sensor analytics: Measuring phenomenology at scale
C. D. Corley, C. Dowling, S. J. Rose, and T. McKenzie · 2013
Cited alongside, same era.
# earthquake: Twitter as a distributed sensor system
A. Crooks, A. Croitoru, A. Stefanidis, and J. Radzikowski · 2013
Cited alongside, same era.
Predicting postpartum changes in emotion and behavior via social media
M. De Choudhury, S. Counts, and E. Horvitz · 2013
Cited alongside, same era.
Social media as a measurement tool of depression in populations
M. De Choudhury, S. Counts, and E. Horvitz · 2013
Cited alongside, same era.
Civil unrest prediction: A tumblr-based exploration
J. Xu, T.-C. Lu, R. Compton, and D. Allen · 2014
Later among the works it cites.
The eyes of the beholder: Gender prediction using images posted in online social networks
Q. You, S. Bhatia, T. Sun, and J. Luo · 2014
Later among the works it cites.
Inferring home location from user’s photo collections based on visual content and mobility patterns
D. Zheng, T. Hu, Q. You, H. Kautz, and J. Luo · 2014
Later among the works it cites.
Identifying disruptive events from social media to enhance situational awareness
N. Alsaedi, P. Burnap, and O. Rana · 2015
Later among the works it cites.
Social media analytics: a survey of techniques, tools and platforms
B. Batrinca and P. C. Treleaven · 2015
Later among the works it cites.
Event prediction with learning algorithms: A study of events surrounding the egyptian revolution of 2011 on the basis of micro blog data
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Predicting depression via social media
M. De Choudhury, M. Gamon, S. Counts, and E. Horvitz · 2013
Cited alongside, same era.
A unified model for topics, events and users on twitter
Q. Diao and J. Jiang · 2013
Cited alongside, same era.
What to do about bad language on the internet
J. Eisenstein · 2013
Cited alongside, same era.
Leveraging candidate popularity on twitter to predict election outcome
M. Gaurav, A. Srivastava, A. Kumar, and S. Miller · 2013
Cited alongside, same era.
A meta-analysis of state-of-the-art electoral prediction from twitter data
D. Gayo-Avello · 2013
Cited alongside, same era.
Comparing and combining sentiment analysis methods
P. Gonçalves, M. Araújo, F. Benevenuto, and M. Cha · 2013
Cited alongside, same era.
B. Boecking, M. Hall, and J. Schneider · 2015
Later among the works it cites.
Machine classification and analysis of suicide-related communication on twitter
P. Burnap, W. Colombo, and J. Scourfield · 2015
Later among the works it cites.
Can social media predict election results? evidence from new zealand
M. P. Cameron, P. Barrett, and B. Stewardson · 2015
Later among the works it cites.
Using social media for actionable disease surveillance and outbreak management: A systematic literature review
L. E. Charles-Smith, T. L. Reynolds, M. A. Cameron, M. Conway, E. H. Lau, J. M. Olsen, J. A. Pavlin, M. Shigematsu, L. C. Streichert, K. J. Suda, et al · 2015
Later among the works it cites.
Smog disaster forecasting using social web data and physical sensor data
J. Chen, H. Chen, D. Hu, J. Z. Pan, and Y. Zhou · 2015
Later among the works it cites.
Making use of derived personality: The case of social media ad targeting
J. Chen, E. Haber, R. Kang, G. Hsieh, and J. Mahmud · 2015
Later among the works it cites.
Crime prediction using twitter sentiment and weather
X. Chen, Y. Cho, and S. Y. Jang · 2015
Later among the works it cites.
Predicting the demographics of twitter users from website traffic data
A. Culotta, N. R. Kumar, and J. Cutler · 2015
Later among the works it cites.
Predicting swedish elections with twitter: A case for stochastic link structure analysis
N. Dokoohaki, F. Zikou, D. Gillblad, and M. Matskin · 2015
Later among the works it cites.
Social sensor analytics: Making sense of network models in social media
C. P. Dowling, J. J. Harrison, A. V. Sathanur, L. H. Sego, and C. D. Corley · 2015
Later among the works it cites.
Mobile messaging and social media 2015. pew research center; 2015, 2015
M. Duggan · 2015
Later among the works it cites.
Social media update 2014
M. Duggan, N. B. Ellison, C. Lampe, A. Lenhart, and M. Madden · 2015
Later among the works it cites.
How the usgs uses twitter data to track earthquakes
E. Ellis · 2015
Later among the works it cites.
Utilizing text mining on online medical forums to predict label change due to adverse drug reactions
R. Feldman, O. Netzer, A. Peretz, and B. Rosenfeld · 2015
Later among the works it cites.
Pricing a protest: Forecasting the dynamics of civil unrest activity in social media
B. J. Goode, S. Krishnan, M. Roan, and N. Ramakrishnan · 2015
Later among the works it cites.
We are all social scientists now: how big data, machine learning, and causal inference work together
J. Grimmer · 2015
Later among the works it cites.
Assessment of user home location geoinference methods
J. Harrison, E. Bell, C. Corley, C. Dowling, and A. Cowell · 2015
Later among the works it cites.
Can# twitter_trends predict election results? evidence from 2014 indian general election
A. Khatua, A. Khatua, K. Ghosh, and N. Chaki · 2015
Later among the works it cites.
Combining heterogeneous data sources for civil unrest forecasting
G. Korkmaz, J. Cadena, C. J. Kuhlman, A. Marathe, A. Vullikanti, and N. Ramakrishnan · 2015
Later among the works it cites.
Using user generated online photos to estimate and monitor air pollution in major cities
Y. Li, J. Huang, and J. Luo · 2015
Later among the works it cites.
Degeneracy-based real-time sub-event detection in twitter stream
P. Meladianos, G. Nikolentzos, F. Rousseau, Y. Stavrakas, and M. Vazirgiannis · 2015
Later among the works it cites.
Inferring latent attributes of twitter users with label regularization
E. Mohammady Ardehaly and A. Culotta · 2015
Later among the works it cites.
Planned protest modeling in news and social media
S. Muthiah, B. Huang, J. Arredondo, D. Mares, L. Getoor, G. Katz, and N. Ramakrishnan · 2015
Later among the works it cites.
Twitter mining for discovery, prediction and causality: Applications and methodologies
D. E. O’Leary · 2015
Later among the works it cites.
Exact age prediction in social networks
B. Perozzi and S. Skiena · 2015
Later among the works it cites.
Social media usage: 2005-2015. pew research center, 2015
A. Perrin, M. Duggan, L. Rainie, A. Smith, S. Greenwood, M. Porteus, and D. Page · 2015
Later among the works it cites.
Studying user income through language, behaviour and affect in social media
D. Preoţiuc-Pietro, S. Volkova, V. Lampos, Y. Bachrach, and N. Aletras · 2015
Later among the works it cites.
Weakly supervised extraction of computer security events from twitter
A. Ritter, E. Wright, W. Casey, and T. Mitchell · 2015
Later among the works it cites.
Online social networks and offline protest
Z. C. Steinert-Threlkeld, D. Mocanu, A. Vespignani, and J. Fowler · 2015
Later among the works it cites.
Recognizing depression from twitter activity
S. Tsugawa, Y. Kikuchi, F. Kishino, K. Nakajima, Y. Itoh, and H. Ohsaki · 2015
Later among the works it cites.
Online bayesian models for personal analytics in social media
S. Volkova and B. Van Durme · 2015
Later among the works it cites.
Regularity and conformity: location prediction using heterogeneous mobility data
Y. Wang, N. J. Yuan, D. Lian, L. Xu, X. Xie, E. Chen, and Y. Rui · 2015
Later among the works it cites.
A bayesian graphical model to discover latent events from twitter
W. Wei, K. Joseph, W. Lo, and K. M. Carley · 2015
Later among the works it cites.
Accepting the challenges of social media research
K. Weller · 2015
Later among the works it cites.
Extracting adverse drug reactions from social media
A. Yates, N. Goharian, and O. Frieder · 2015
Later among the works it cites.
World cup 2014 in the twitter world: A big data analysis of sentiments in us sports fans’ tweets
Y. Yu and X. Wang · 2015
Later among the works it cites.
Stakeholder analyses of firm-related web forums: Applications in stock return prediction
D. Zimbra, H. Chen, and R. F. Lusch · 2015
Later among the works it cites.
Tracking protests using geotagged flickr photographs
M. Alanyali, T. Preis, and H. S. Moat · 2016
Later among the works it cites.
Sensing real-world events using arabic twitter posts
N. Alsaedi, P. Burnap, and O. Rana · 2016
Later among the works it cites.
Population estimates, 2016
U. S. C. Bureau · 2016
Later among the works it cites.
Quantifying and predicting mental illness severity in online pro-eating disorder communities
S. Chancellor, Z. Lin, E. L. Goodman, S. Zerwas, and M. De Choudhury · 2016
Later among the works it cites.
Recovery amid pro-anorexia: Analysis of recovery in social media
S. Chancellor, T. Mitra, and M. De Choudhury · 2016
Later among the works it cites.
Social media participation in an activist movement for racial equality
M. De Choudhury, S. Jhaver, B. Sugar, and I. Weber · 2016
Later among the works it cites.
Discovering shifts to suicidal ideation from mental health content in social media
M. De Choudhury, E. Kiciman, M. Dredze, G. Coppersmith, and M. Kumar · 2016
Later among the works it cites.
Characterizing dietary choices, nutrition, and language in food deserts via social media
M. De Choudhury, S. Sharma, and E. Kiciman · 2016
Later among the works it cites.
Teens are from mars, adults are from venus: analyzing and predicting age groups with behavioral characteristics in instagram
K. Han, S. Lee, J. Y. Jang, Y. Jung, and D. Lee · 2016
Later among the works it cites.
What the language you tweet says about your occupation
T. Hu, H. Xiao, J. Luo, and T.-v. T. Nguyen · 2016
Later among the works it cites.
Fusing social networks with deep learning for volunteerism tendency prediction
Y. Jia, X. Song, J. Zhou, L. Liu, L. Nie, and D. S. Rosenblum · 2016
Later among the works it cites.
The geography and importance of localness in geotagged social media
I. L. Johnson, S. Sengupta, J. Schöning, and B. Hecht · 2016
Later among the works it cites.
The wisdom of crowds in action: Forecasting epidemic diseases with a web-based prediction market system
E. Y. Li, C.-Y. Tung, and S.-H. Chang · 2016
Later among the works it cites.
Can twitter posts predict stock behavior?: A study of stock market with twitter social emotion
Q. Li, B. Zhou, and Q. Liu · 2016
Later among the works it cites.
Project success prediction in crowdfunding environments
Y. Li, V. Rakesh, and C. K. Reddy · 2016
Later among the works it cites.
What does social media say about your stress?
H. Lin, J. Jia, L. Nie, G. Shen, and T.-S. Chua · 2016
Later among the works it cites.
Presidential memorandum – climate change and national security
B. Obama · 2016
Later among the works it cites.
How social media strategy helps ’deadpool’ to be a massive box office success
E. Paiva · 2016
Later among the works it cites.
Facebook reveals its trending topics are curated by humans, 2016
A. Press · 2016
Later among the works it cites.
Sentiment aggregate functions for political opinion polling using microblog streams
P. Saleiro, L. Gomes, and C. Soares · 2016
Later among the works it cites.
The accuracy of self-reported internet use: A validation study using client log data
M. Scharkow · 2016
Later among the works it cites.
Mining online social data for detecting social network mental disorders
H.-H. Shuai, C.-Y. Shen, D.-N. Yang, Y.-F. Lan, W.-C. Lee, P. S. Yu, and M.-S. Chen · 2016
Later among the works it cites.
Volunteerism tendency prediction via harvesting multiple social networks
X. Song, Z.-Y. Ming, L. Nie, Y.-L. Zhao, and T.-S. Chua · 2016
Later among the works it cites.
Facebook fires trending team, and algorithm without humans goes crazy, 2016
S. Thielman · 2016
Later among the works it cites.
Inferring perceived demographics from user emotional tone and user-environment emotional contrast
S. Volkova and Y. Bachrach · 2016
Later among the works it cites.
Mining user interests to predict perceived psycho-demographic traits on twitter
S. Volkova, Y. Bachrach, and B. Van Durme · 2016
Later among the works it cites.
Boosting election prediction accuracy by crowd wisdom on social forums
M.-H. Wang and C.-L. Lei · 2016
Later among the works it cites.
Gmove: Group-level mobility modeling using geo-tagged social media
C. Zhang, K. Zhang, Q. Yuan, L. Zhang, T. Hanratty, and J. Han · 2016
Later among the works it cites.
Your age is no secret: Inferring microbloggers’ ages via content and interaction analysis
J. Zhang, X. Hu, Y. Zhang, and H. Liu · 2016
Later among the works it cites.
Eigentransitions with hypothesis testing: The anatomy of urban mobility
K. Zhang, Y.-R. Lin, and K. Pelechrinis · 2016
Later among the works it cites.
Extracting signals from social media for chronic disease surveillance
W. Zhang, S. Ram, M. Burkart, and Y. Pengetnze · 2016
Later among the works it cites.
Correlating twitter with the stock market through non-gaussian svar
S. Zhao, Y. Tong, X. Liu, and S. Tan · 2016
Later among the works it cites.
On infectious intestinal disease surveillance using social media content
B. Zou, V. Lampos, R. Gorton, and I. J. Cox · 2016
Later among the works it cites.