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in Analyzing the Effect of Time in Migration Measurement Using Georeferenced Digital Trace Data
> Demography
Published: 01 February 2021
Fig. 3 Counts of unique users by month in the Orange-Sonatel, Twitter, and Gowalla data sets
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Published: 01 October 2024
Fig. 2 The evolution of Twitter COVID skepticism and excess mortality in Italy in 2020. The blue line shows the OLS coefficient estimates of Twitter COVID skepticism, along with the 95% confidence intervals, weighted by population size (on the right-hand axis). The model is constructed
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Journal Article
Demography (2024) 61 (5): 1613–1636.
Published: 01 October 2024
...Fig. 2 The evolution of Twitter COVID skepticism and excess mortality in Italy in 2020. The blue line shows the OLS coefficient estimates of Twitter COVID skepticism, along with the 95% confidence intervals, weighted by population size (on the right-hand axis). The model is constructed...
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Includes: Supplementary data
Journal Article
Demography (2018) 55 (5): 1979–1999.
Published: 01 October 2018
... our perspective on the road ahead regarding demography and its role in the data revolution. 28 8 2018 1 10 2018 © Population Association of America 2018 2018 4 See Twitter’s Privacy Policy for more information: https://twitter.com/en/privacy . 5 See https...
Journal Article
Demography (2021) 58 (1): 51–74.
Published: 01 February 2021
...Fig. 3 Counts of unique users by month in the Orange-Sonatel, Twitter, and Gowalla data sets ...
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Journal Article
Demography (2021) 58 (2): 451–470.
Published: 01 April 2021
... of Labor's historical archive. Data on cultural gender norms are less readily available at the state level because few surveys measure attitudes and beliefs with large enough samples for state analysis. Therefore, we use organic data measuring public sentiment toward feminism expressed on Twitter. We use...
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Includes: Supplementary data
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Published: 01 October 2024
and 90th percentiles. The regressions control for municipal-level Twitter metrics (average number of users, followers, followings [friends], retweets, replies, likes, and quotes), region-level weekly trends, and week and municipality fixed effects. The error terms are clustered at the level of the labor
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Published: 01 October 2024
) and 12 (light red) months of the vaccination campaign. All regressions control for region-level Twitter metrics measured in 2020. COVID skepticism is the 2020 regional average. The correlation sample includes all 20 regions. pc = per capita. * p < .10; ** p < .05; *** p < .01.
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Journal Article
Demography (2021) 58 (6): 2193–2218.
Published: 01 December 2021
.... ( 2018 ). Potential biases in Big Data: Omitted voices on social media . Social Science Computer Review , 38 , 10 – 24 . Herdağdelen A. , & Marelli M. ( 2017 ). Social media and language processing: How Facebook and Twitter provide the best frequency estimates for studying word...
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Includes: Supplementary data
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Published: 01 October 2024
(expressed in standard deviations). The regression controls for municipal-level Twitter metrics (average number of users, followers, followings [friends], retweets, replies, likes, and quotes), region-level weekly trends, and week and municipality fixed effects. The error term is clustered at the level
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Published: 01 October 2024
the baseline approach, the regressions control for municipal-level Twitter metrics (average number of users, followers, followings [friends], retweets, replies, likes, and quotes) and week and municipality fixed effects. The error terms are clustered at the level of the labor market area, and the estimates
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Published: 01 October 2024
Fig. 3 COVID skepticism in the first COVID wave and municipality-level characteristics. COVID skepticism is the municipality-level average over the pandemic's first wave (February to July 2020). The other time-varying covariates (e.g., excess mortality, mobility, and Twitter metrics) are also
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Journal Article
Demography (2024) 61 (2): 493–511.
Published: 01 April 2024
.... , & State B. ( 2014 ). Inferring international and internal migration patterns from Twitter data . In World Wide Web Conference Committee (Ed.), WWW ’14 companion: Proceedings of the 23rd International Conference on World Wide Web (pp. 439 – 444 ). Seoul, Korea : ACM Press . https://doi.org...
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Includes: Supplementary data
Journal Article
Demography (2022) 59 (1): 161–186.
Published: 01 February 2022
... and cohabitation . Demography , 44 , 159 – 179 . Karamshuk D. , Shaw F. , Brownlie J. , & Nishanth S. ( 2017 ). Bridging big data and qualitative methods in the social sciences: A case study of Twitter responses to high profile deaths by suicide . Online Social Networks...
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Includes: Supplementary data
Journal Article
Demography (2022) 59 (5): 1763–1789.
Published: 01 October 2022
.... ( 2018 ). Urban isolation and daytime neighborhood social composition from twitter data . Proceedings of the National Academy of Sciences , 115 , E11886 – E11887 . https://doi.org/10.1073/pnas.1816937115 von Hippel P. T. ( 2020 ). How many imputations do you need? A two-stage calculation...
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Includes: Supplementary data
Journal Article
Demography (2024) 61 (3): 737–767.
Published: 01 June 2024
... et al. 2021 ). 2 For a notable exception, see Sánchez-Céspedes ( 2017 ). 3 The geographic distribution of Venezuelan migration has been corroborated with estimates based on Twitter and Facebook data (Mazzoli et al. 2020 ; Palotti et al. 2020 ). 4 The 2016 data collection...
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Includes: Supplementary data
Journal Article
Demography (2020) 57 (5): 1647–1680.
Published: 01 September 2020
... Health , 40 , e531 – e537 . 10.1093/pubmed/fdy042 Panagiotopoulos , P. , Barnett , J. , Bigdeli , A. Z. , & Sams , S. ( 2016 ). Social media in emergency management: Twitter as a tool for communicating risks to the public . Technological Forecasting and Social Change...
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Includes: Supplementary data
