YouTubing at Home: Media Sharing Behavior Change as Proxy for Mobility Around COVID-19 Lockdowns
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[1] Z. Li,et al. Spatial-temporal relationship between population mobility and COVID-19 outbreaks in South Carolina: A time series forecasting analysis , 2021, medRxiv.
[2] T. Böttger,et al. How the Internet reacted to Covid-19: A perspective from Facebook's Edge Network , 2020, Internet Measurement Conference.
[3] Changsheng Xu,et al. Mining Cross-network Association for YouTube Video Promotion , 2014, ACM Multimedia.
[4] J. Sang,et al. Twitter is Faster: Personalized Time-Aware Video Recommendation from Twitter to YouTube , 2014, ACM Trans. Multim. Comput. Commun. Appl..
[5] Heidi Oi-Yee Li,et al. YouTube as a source of information on COVID-19: a pandemic of misinformation? , 2020, BMJ Global Health.
[6] Scott A. Hale,et al. Estimating local commuting patterns from geolocated Twitter data , 2017, EPJ Data Science.
[7] John S. Brownstein,et al. Inferences about spatiotemporal variation in dengue virus transmission are sensitive to assumptions about human mobility: a case study using geolocated tweets from Lahore, Pakistan , 2018, EPJ Data Science.
[8] B. van Rooij,et al. The intelligent lockdown: Compliance with COVID-19 mitigation measures in the Netherlands , 2020, SSRN Electronic Journal.
[9] George Pallis,et al. The Role of Twitter in YouTube Videos Diffusion , 2012, WISE.
[10] N. Vayatis,et al. Selective review of offline change point detection methods , 2019 .
[11] Rossano Schifanella,et al. The shortest path to happiness: recommending beautiful, quiet, and happy routes in the city , 2014, HT.
[12] Andra Lutu,et al. A Characterization of the COVID-19 Pandemic Impact on a Mobile Network Operator Traffic , 2020, Internet Measurement Conference.
[13] Daniele Barchiesi,et al. Quantifying International Travel Flows Using Flickr , 2015, PloS one.
[14] Christoph Dietzel,et al. The Lockdown Effect: Implications of the COVID-19 Pandemic on Internet Traffic , 2020, Internet Measurement Conference.
[15] T. Hale,et al. Oxford COVID-19 Government Response Tracker , 2020 .
[16] Satish V. Ukkusuri,et al. Understanding urban human activity and mobility patterns using large-scale location-based data from online social media , 2013, UrbComp '13.
[17] A. L. Schmidt,et al. The COVID-19 social media infodemic , 2020, Scientific Reports.
[18] Wang-Chien Lee,et al. Semantic Annotation of Mobility Data using Social Media , 2015, WWW.
[19] Gichuhi. A. Waititu,et al. The Power of the Pruned Exact Linear Time(PELT) Test in Multiple Changepoint Detection , 2015 .
[20] M. Kraemer,et al. Use of Twitter social media activity as a proxy for human mobility to predict the spatiotemporal spread of COVID-19 at global scale. , 2020, Geospatial health.
[21] Ciro Cattuto,et al. Predicting human mobility through the assimilation of social media traces into mobility models , 2016, EPJ Data Science.
[22] Role of Emotion in Excessive Use of Twitter During COVID-19 Imposed Lockdown in India , 2020, Journal of technology in behavioral science.
[23] Hartwig H. Hochmair,et al. Analyzing Refugee Migration Patterns Using Geo-tagged Tweets , 2017, ISPRS Int. J. Geo Inf..
[24] Filippo Menczer,et al. The COVID-19 Infodemic: Twitter versus Facebook , 2020, Big Data Soc..
[25] Fei Wu,et al. Interpreting traffic dynamics using ubiquitous urban data , 2016, SIGSPATIAL/GIS.
[26] Venkata Rama Kiran Garimella,et al. Who watches (and shares) what on youtube? and when?: using twitter to understand youtube viewership , 2013, WSDM.
[27] A. Gasparrini,et al. Interrupted time series regression for the evaluation of public health interventions: a tutorial , 2016, International journal of epidemiology.
[28] Scott Sanner,et al. The Lifecyle of a Youtube Video: Phases, Content and Popularity , 2015, ICWSM.
[29] Scott Sanner,et al. Twitter-driven YouTube Views: Beyond Individual Influencers , 2014, ACM Multimedia.
[30] Chao Zhang,et al. DeepMove: Predicting Human Mobility with Attentional Recurrent Networks , 2018, WWW.
[31] Changsheng Xu,et al. Unified YouTube Video Recommendation via Cross-network Collaboration , 2015, ICMR.
[32] R. Evans. European Centre for Disease Prevention and Control. , 2014, Nursing standard (Royal College of Nursing (Great Britain) : 1987).