Saving lives using social media: Analysis of the role of twitter for personal blood donation requests and dissemination

[1]  Daniel Jurafsky,et al.  Learning Syntactic Patterns for Automatic Hypernym Discovery , 2004, NIPS.

[2]  Organizing Resources on Tagging Systems using TORG , 2007 .

[3]  C. Hawn Take two aspirin and tweet me in the morning: how Twitter, Facebook, and other social media are reshaping health care. , 2009, Health affairs.

[4]  Leysia Palen,et al.  Twitter adoption and use in mass convergence and emergency events , 2009 .

[5]  Hiroyuki Kitagawa,et al.  TURank: Twitter User Ranking Based on User-Tweet Graph Analysis , 2010, WISE.

[6]  Juan-Zi Li,et al.  Understanding retweeting behaviors in social networks , 2010, CIKM.

[7]  Anjon Basak,et al.  Smart Blood Query: A Novel Mobile Phone Based Privacy-Aware Blood Donor Recruitment and Management System for Developing Regions , 2011, 2011 IEEE Workshops of International Conference on Advanced Information Networking and Applications.

[8]  Karen Freberg,et al.  Intention to comply with crisis messages communicated via social media , 2012 .

[9]  A. Nicole Sump-Crethar Making the Most of Twitter , 2012 .

[10]  Ponnurangam Kumaraguru,et al.  Call me maybe: understanding nature and risks of sharing mobile numbers on online social networks , 2013, COSN '13.

[11]  Shari R. Veil,et al.  Managing and sharing H1N1 crisis information using social media bookmarking services , 2013 .

[12]  Marcus Foth,et al.  Social and mobile interaction design to increase the loyalty rates of young blood donors , 2013, C&T '13.

[13]  Pieter Rutsaert,et al.  Consumer interest in receiving information through social media about the risks of pesticide residues , 2013 .

[14]  Pieter Rutsaert,et al.  The use of social media in food risk and benefit communication , 2013 .

[15]  Steven Ovadia Automate the Internet With “If This Then That” (IFTTT) , 2014 .

[16]  Pieter Rutsaert,et al.  Social media as a useful tool in food risk and benefit communication?: a strategic orientation approach , 2014 .

[17]  Julie Barnett,et al.  Tweeting during food crises: A psychosocial analysis of threat coping expressions in Spain, during the 2011 European EHEC outbreak , 2014, Int. J. Hum. Comput. Stud..

[18]  Pieter Rutsaert,et al.  Seeking information about food-related risks: the contribution of social media , 2014 .

[19]  Fernanda Nascimento Almeida,et al.  A Provenance Model Based on Declarative Specifications for Intensive Data Analyses in Hemotherapy Information Systems , 2014, 2014 IEEE 10th International Conference on e-Science.

[20]  Mubashar Mushtaq,et al.  INTWEEMS: a framework for incremental clustering of tweet streams , 2015, iiWAS.

[21]  Patric R. Spence,et al.  Variability in Twitter Content Across the Stages of a Natural Disaster: Implications for Crisis Communication , 2015 .

[22]  Patrick Valduriez,et al.  New Trends in Databases and Information Systems: ADBIS 2015 Short Papers and Workshops, BigDap, DCSA, GID, MEBIS, OAIS, SW4CH, WISARD, Poitiers , 2015 .

[23]  Catherine Bartlett,et al.  Twitter and public health. , 2015, Journal of public health management and practice : JPHMP.

[24]  Derek Ruths,et al.  Humanitarian Technology : Science , Systems and Global Impact 2015 , HumTech 2015 Tackling the challenges of situational awareness extraction in Twitter with an adaptive approach , 2017 .

[25]  Satish Chikkagoudar,et al.  Disentangling the Lexicons of Disaster Response in Twitter , 2014, WWW.

[26]  Christian Reuter,et al.  Microblogging during the European Floods 2013: What Twitter May Contribute in German Emergencies , 2015, Int. J. Inf. Syst. Crisis Response Manag..

[27]  Gabrielle M. Turner-McGrievy,et al.  Tweet for health: using an online social network to examine temporal trends in weight loss-related posts , 2015, Translational behavioral medicine.

[28]  Pablo Barberá,et al.  Understanding the Political Representativeness of Twitter Users , 2015 .

[29]  Jeffrey Nichols,et al.  Who Will Retweet This? Detecting Strangers from Twitter to Retweet Information , 2015, ACM Trans. Intell. Syst. Technol..

[30]  Edson C. Tandoc,et al.  Communicating on Twitter during a disaster: An analysis of tweets during Typhoon Haiyan in the Philippines , 2015, Comput. Hum. Behav..

[31]  Qunying Huang,et al.  Using Twitter for tasking remote-sensing data collection and damage assessment: 2013 Boulder flood case study , 2016 .

[32]  Jolien Ubacht,et al.  Business Intelligence from User Generated Content: Online Opinion Formation in Purchasing Decisions in High-Tech Markets , 2016, I3E.

[33]  Anirban Mahanti,et al.  The rich and middle classes on Twitter: Are popular users indeed different from regular users? , 2016, Comput. Commun..

[34]  Jonathan Corpus Ong,et al.  Tweeting Supertyphoon Haiyan: Evolving Functions of Twitter during and after a Disaster Event , 2016, PloS one.

[35]  Patric R. Spence,et al.  Social media and crisis management: CERC, search strategies, and Twitter content , 2016, Comput. Hum. Behav..

[36]  Glyn Lewis,et al.  Psychotic Experiences and Working Memory: A Population-Based Study Using Signal-Detection Analysis , 2016, PloS one.

[37]  Nima Kordzadeh Social Media in Health Care , 2016 .

[38]  Tehmina Amjad,et al.  A survey on the state-of-the-art machine learning models in the context of NLP , 2016 .

[39]  T. Hennig-Thurau,et al.  Not all digital word of mouth is created equal: Understanding the respective impact of consumer reviews and microblogs on new product success , 2017 .

[40]  Hikmat Ullah Khan,et al.  Modelling to identify influential bloggers in the blogosphere: A survey , 2017, Comput. Hum. Behav..