RT @knallzeugin: 📌 Jeder Account, der das Narrativ stützt und verteidigt, zählt. Beispielhafte Auswertung von Twatternutzerdaten aus 2011…
📌 Jeder Account, der das Narrativ stützt und verteidigt, zählt. Beispielhafte Auswertung von Twatternutzerdaten aus 2011: https://t.co/90UVKoCdkz
RT @knallzeugin: 📌 Impfstimmung und Twitter Studie aus 2011 Jeder Tweet zählt. Jede Sperrung zählt. https://t.co/bgcasUIwRG
📌 Impfstimmung und Twitter Studie aus 2011 Jeder Tweet zählt. Jede Sperrung zählt. https://t.co/bgcasUIwRG
📌 Studie 13.10.2011 Tw und Impfstimmung
📌 Studie "Bewertung der Impfstimmung mit sozialen Medien: Auswirkungen auf die Dynamik und Kontrolle von Infektionskrankheiten" https://t.co/bgcasUIwRG
@ggkuhnle @kevinnbass @synapse101 Found more examples that looked at individual tweets https://t.co/i8tJhRMyQg https://t.co/K67OX19xjE https://t.co/UacdVaUhS2 4/4
“Publicly available data from online social media provide unprecedented opportunities, especially in the realm of public health”
@ME__Martinez @TAlexPerkins if you haven't yet, check out @marcelsalathe's work 2011, 2013: https://t.co/9toCLB8WQE https://t.co/Ni7TheYq4a
http://t.co/trlPFznDda algo asi xo sobre alertas de medic o datos de EC u observacionales molaria, eh @cecilicp ?
Un sistema alerta de bulos antivacunas para reducir su impacto en la salud. http://t.co/ZM3yh440ur http://t.co/a8mPUehFts vía @eldiarioes
@rgwakeman found! http://t.co/NHykr7G7tS
No es por abundar en el asunto, pero este artículo es esclarecedor para los comunicadores de ciencia y de Spública http://t.co/bZCiWQOcqo
#leyendo Los sentimientos antivacunas triunfan en Twitter http://t.co/qOl1o7RiqD vía @materia_ciencia y link al paper http://t.co/zgQXe8Fts3
...information flows more often between users who share the same sentiments - http://t.co/2snJqgiN #HCSM
...strong correlation b/w sentiments expressed online & CDC-estimated vaccination rates by region http://t.co/2snJqgiN #CMEchat #hcsmRnD
Assessing vaccination sentiments w/ online SoMe: implications for infectious disease dynamics & control http://t.co/2snJqgiN #CMEchat
Assessing Social Media's impact on Vaccinations: Implications for Infectious Disease Control. Read more http://t.co/i5I1K5fu
Assessing Vaccination Sentiments with Online Social Media: Implications for Infectious Disease Dynamics and Control http://t.co/VbxMHyAq
RT @ramblemuse: Assessing Vaccination Sentiments with Online Social Media: Implications for Infectious Disease Dynamics and Control. http://t.co/iojt7QPP
RT @ramblemuse: Assessing Vaccination Sentiments with Online Social Media: Implications for Infectious Disease Dynamics and Control. http://t.co/iojt7QPP
Assessing Vaccination Sentiments with Online Social Media: Implications for Infectious Disease Dynamics and Control. http://t.co/iojt7QPP
New paper: Vaccination Sentiments from Online Social Media http://t.co/T3ZPlbk7 @salathegroup
Recent paper in @PLoSCompBiol measures response to new vaccine using social media. http://t.co/eRtcdjT7
Interesting methodology, will it ever be used for public health interventions? I suspect not. http://t.co/s4Rcr8ty
RT @PLoSCompBiol: Twitter may influence the spread of disease - health - 17 October 2011 - New Scientist http://t.co/E5nFXqoP (PLoS CB http://t.co/koraNx1F)
Estudio de #redessociales q analiza la percepción en #Twitter acerca d vacunación de gripe AH1N1: http://t.co/wByjPFWy vía @p0nja
Estudios que analizan lo que se dice en #socialmedia http://t.co/RULjJVV7 en este caso es un estudio médico s/ AH1N1 y redes sociales
Assessing Vaccination Sentiments with #Twitter [@PLoS Comp Bio] http://t.co/ZXdsT6YN
RT @ojcius: Assessing Vaccination Sentiments with Online Social Media: Implications for Infectious Disease Dynamics and Control http://t.co/5m9ngMok
MT @ojcius: Assessing Vaccination Sentiments with Online Social Media http://t.co/iSP7YmDP #mbionet
Projected vaccination rates based on sentiments expressed on Twitter http://t.co/j8l30CFL #li
RT @mocost Twitter data used t track attitudes towards H1N1 vaccine http://t.co/afzqP8UL
RT @lewismal: Assessing Vaccination Sentiments with Online Social Media: Implications for Infectious Disease Dynamics and Control http://t.co/zCmFoPlc
Assessing Vaccination Sentiments with Online Social Media: Implications for Infectious Disease Dynamics and Control http://t.co/zCmFoPlc
Twitter data used t track attitudes towards H1N1 vaccine http://t.co/HywEkDyQ
@gnip @chrismoodycom wish we could be at #BoulderChamber. here's why: http://t.co/k2kgWrM (hopefully with gnip data in the future!)
感染症ダナミクス制御示唆:オラソシルメデ予防接種感情評価 http://bit.ly/pKSYVM 、新ワクチ向時空間感情測定、半年期間収集オラソシルメデ101853ユザ一般公開デタ使用。感情間強相関関係識別アプロチ検証、地域、オラCDC -推定接種率表明。頻繁同感情共有ユザ
Vaccination sentiments using Twitter data | http://bit.ly/pWYHjr