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Social media generate data on human behaviour at large scales and over long periods of time, posing a complementary approach to traditional methods in the social sciences.
An improved heteroskedasticity and autocorrelation consistent covariance matrix estimator
Andrews, D. W. & Monahan, J. C · 1992
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Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root?
Kwiatkowski, D., Phillips, P. C., Schmidt, P. & Shin, Y · 1992
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Detrended cross-correlation analysis: a new method for analyzing two nonstationary time series
Podobnik, B. & Stanley, H. E · 2008
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Brave men and timid women? A review of the gender differences in fear and anxiety
McLean, C. P. & Anderson, E. R · 2009
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Diurnal and seasonal mood vary with work, sleep, and daylength across diverse cultures
Golder, S. A. & Macy, M. W · 2011
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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
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Sex differences in the neural correlates of emotion: Evidence from neuroimaging
Whittle, S., Yücel, M., Yap, M. B. H. & Allen, N. B · 2011
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A meta-analysis of state-of-the-art electoral prediction from twitter data
Gayo-Avello, D · 2013
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Gender differences in emotion expression in children: A meta-analytic review
Chaplin, T. M. & Aldao, A · 2013
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The development and psychometric properties of liwc2015
Pennebaker, J. W., Boyd, R. L., Jordan, K. & Blackburn, K · 2015
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Inferring emotions and self-relevant domains in social media: Challenges and future directions
Beasley, A., Mason, W. & Smith, E · 2016
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Twitter’s glass ceiling: The effect of perceived gender on online visibility
Nilizadeh, S. et al · 2016
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Less is more? how demographic sample weights can improve public opinion estimates based on twitter data
Barberá, P · 2016
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Twitter and facebook are not representative of the general population: Political attitudes and demographics of british social media users
Mellon, J. & Prosser, C · 2017
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Results of the WNUT2017 shared task on novel and emerging entity recognition
Derczynski, L., Nichols, E., van Erp, M. & Limsopatham, N · 2017
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Semeval-2018 task 1: Affect in tweets
Mohammad, S., Bravo-Marquez, F., Salameh, M. & Kiritchenko, S · 2018
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Semeval-2018 task 1: Affect in tweets
Mohammad, S., Bravo-Marquez, F., Salameh, M. & Kiritchenko, S · 2018
Cited alongside, same era.
Bit by bit: Social research in the digital age (Princeton University Press, 2019)
Salganik, M. J · 2019
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The origins and consequences of affective polarization in the united states
Iyengar, S., Lelkes, Y., Levendusky, M., Malhotra, N. & Westwood, S. J · 2019
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Collective emotions and social resilience in the digital traces after a terrorist attack
Garcia, D. & Rimé, B · 2019
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The minute-scale dynamics of online emotions reveal the effects of affect labeling
Fan, R. et al · 2019
Location methodology (2020)
Crimson Hexagon · 2020
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Forsight: User guide (2020)
Crimson Hexagon · 2020
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Tweeteval: Unified benchmark and comparative evaluation for tweet classification
Barbieri, F., Camacho-Collados, J., Anke, L. E. & Neves, L · 2020
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Tweeteval: Unified benchmark and comparative evaluation for tweet classification
Barbieri, F., Camacho-Collados, J., Anke, L. E. & Neves, L · 2020
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Human social sensing is an untapped resource for computational social science
Galesic, M. et al · 2021
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Meaningful measures of human society in the twenty-first century
Lazer, D. et al · 2021
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Social media as an alternative to surveys of opinions about the economy
Conrad, F. G. et al · 2019
Cited alongside, same era.
The limited value of non-replicable field experiments in contexts with low temporal validity
Munger, K · 2019
Cited alongside, same era.
Fake news on twitter during the 2016 us presidential election
Grinberg, N., Joseph, K., Friedland, L., Swire-Thompson, B. & Lazer, D · 2019
Cited alongside, same era.
Collective emotions
Goldenberg, A., Garcia, D., Halperin, E. & Gross, J. J · 2020
Cited alongside, same era.
The stresscapes ontology system: Detecting and measuring stress on social media
Elayan, S. et al · 2020
Cited alongside, same era.
Estimating geographic subjective well-being from twitter: A comparison of dictionary and data-driven language methods
Jaidka, K. et al · 2020
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Measuring algorithmically infused societies
Wagner, C. et al · 2021
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The rise of affectivism
Dukes, D. et al · 2021
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Out-group animosity drives engagement on social media
Rathje, S., Van Bavel, J. J. & van der Linden, S · 2021
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Impact of the covid-19 pandemic on mental health among 157,213 americans
Yarrington, J. S. et al · 2021
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Collective emotions during the covid-19 outbreak
Metzler, H. et al · 2021
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Distribution of twitter users worldwide as of april 2021, by gender (2021)
Statista · 2021
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Britain’s mood, measured weekly (2021)
YouGov · 2021
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Life satisfaction, measured weekly (2021)
YouGov · 2021
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Panel methodology (2021)
YouGov · 2021
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